Sprig vs. InMoment: Which Enterprise Survey Platform Is Right for Your Organization? (2026)

Example H2

Introduction

Sprig and InMoment are both enterprise platforms for collecting customer feedback, but they were built for different jobs.

InMoment runs always-on customer experience programs. It gathers signals from surveys, online reviews, contact center conversations, and digital sessions, routes what it finds to the person who can act on it, and tracks whether the issue was resolved. It is used across retail, financial services, healthcare, automotive, insurance, restaurants, hospitality, and utilities, and it is typically bought alongside an advisory and services organization that helps design and operate the program.

Sprig was built for a different job. It is an enterprise survey platform powered by AI agents, designed to take a research question from study design through fielding to defensible evidence. Teams can generate a fully programmed study, reach participants inside the product or through email, links, QR codes, and an external panel, then analyze thousands of responses without leaving a single platform.

The market these two platforms compete in changed in 2026. Qualtrics completed its acquisition of Press Ganey Forsta on May 18, 2026, and Press Ganey Forsta had itself acquired InMoment the previous year. The platform many organizations chose specifically because it was not Qualtrics is now a Qualtrics-owned product, and neither company has published a brand or roadmap plan.

That change does not make InMoment a worse product. It does change what a renewal conversation is about, and it makes the question this guide answers more urgent than it was twelve months ago.

This guide compares both platforms across ten evaluation areas:

AI capabilities
Survey creation
Survey distribution and participant recruitment
Advanced research methods
Reporting and analysis
Reputation and local experience management
Contact center and conversational intelligence
Integrations, APIs, and AI workflows
Enterprise security and governance
Implementation, migration, and total cost of ownership

Which Platform Should You Choose?

The right platform depends less on company size and more on whether your team owns a continuous program or a research question.

Choose Sprig if your team

Needs research that reaches users inside the product, on web and native mobile
Wants AI agents across study design, fielding, and synthesis rather than analysis alone
Runs pricing, packaging, or feature trade-off decisions requiring conjoint or MaxDiff
Needs external participants without procuring a separate panel vendor
Wants researchers directing studies rather than filing tickets with a services team
Repeats the same measure every quarter against a fixed instrument
Connects research to Claude, ChatGPT, or internal agents through a governed connector
Expects a study live in days rather than a program configured over quarters

Choose InMoment if your organization

Manages reviews, ratings, and listings across many physical locations
Needs contact center conversation and speech analytics alongside survey feedback
Requires case management and closed-loop service recovery as a core workflow
Depends on a services organization to build and operate the program
Benchmarks results against syndicated industry norms

The Simplest Decision Rule

If the output you need is an owner assigned to a specific unhappy customer, InMoment is the better instrument. If the output you need is a number you will defend in a roadmap review, Sprig is.

Most large organizations that run both kinds of work end up running both kinds of tool. The reputation and contact center program stays where it is, and the research question moves to a platform built to answer it.

Comparison Methodology

This comparison draws on published product documentation from both vendors, third-party analyst coverage, public review platforms, and the corporate filings and press releases that establish current ownership. Capabilities are described as each vendor publishes them. Where a capability is claimed in marketing copy but not documented, this guide says so instead of treating the claim as settled.

No pricing figures appear anywhere in this guide. Both platforms price by negotiated enterprise agreement, published figures go stale quickly, and a number that is wrong is worse than no number. The pricing chapter gives you the questions to ask instead.

Every chapter closes with a stated verdict. Three of the ten verdicts go to InMoment, two are ties, and one depends on which problem you are solving. A comparison in which one platform wins everything is not a comparison.

What You'll Learn

How each platform's AI works, and what each one's AI is accountable for
Which distribution channels each platform publishes, and which are missing
Which advanced research methods each platform documents as a shipped capability
What the Qualtrics acquisition does and does not change about an InMoment renewal
Where InMoment is clearly the better instrument, and where switching would be a mistake
What a migration actually involves, and which workloads have no replacement

Sprig vs. InMoment at a Glance

Key Differences

InMoment is built around continuous listening. Its value increases with the number of channels feeding it and the number of people acting on what it surfaces, which is why it is generally sold with services attached and measured over quarters.

Sprig is built around designed studies. Its value shows up in how quickly a specific question becomes evidence, which is why it is generally sold to the team that owns the question rather than to a program office.

The fork for a buyer is simple to state and harder to answer honestly. Are you trying to run a program, or answer a question?

What Are Sprig and InMoment?

InMoment Overview

InMoment sells experience improvement software to large organizations that need to hear from customers continuously and act on what they hear. Its platform is organized into four movements: listen, report, analyze, and improve.

The listening surface is deliberately wide. InMoment collects structured survey responses, unstructured online reviews, contact center conversations, digital session behavior, and employee feedback, then applies text and speech analytics to the combined pool. Its reputation business captures ratings and reviews across major maps, review, and directory platforms and manages business listings alongside them.

That breadth is the product. An InMoment deployment is generally not one team's tool. It is a program spanning customer experience, marketing, operations, and often the contact center, with a services organization helping to design surveys, configure dashboards, and interpret results.

InMoment's history is a sequence of acquisitions. Wootric brought the microsurvey and digital feedback line in 2021. Lexalytics brought text analytics. ReviewTrackers brought review management and Rio SEO brought local search. Each addition widened the listening surface further.

The company itself was then acquired. Press Ganey Forsta announced its acquisition of InMoment in May 2025, and Qualtrics completed its acquisition of Press Ganey Forsta on May 18, 2026. Gartner now lists the combined vendor as Press Ganey Forsta (InMoment) in its 2026 Magic Quadrant for Voice of the Customer Platforms, naming it a Leader while attaching an explicit caution about roadmap continuity and customer experience consistency following the acquisitions.

Sprig Overview

Sprig is an enterprise survey platform powered by AI agents. It is built around a narrower job than InMoment's and executes more of that job in one place.

A team using Sprig starts with a research question rather than a listening program. Three specialized agents carry the work. The Design Agent generates a complete, fully programmed study, with response options, logic, and randomization already in place, and checks it for broken or conflicting logic and unclear questions. The Field Agent manages delivery and generates follow-up questions in real time based on responses. The Synthesize Agent produces an evidence-backed report as responses arrive, with themes, summaries, and supporting quotes.

Distribution runs across six channels. Surveys reach users inside web applications and native mobile apps, through email with a custom sending domain, through shareable links and QR codes, and through an external panel for reaching people who are not customers yet.

Sprig's customer base is concentrated in product-led technology companies. Published customers include Figma, Ramp, Notion, DoorDash, Square, Coinbase, ClassPass, and Thumbtack.

Continuous Listening and Designed Studies Are Different Instruments

The most common evaluation mistake in this comparison is treating both platforms as survey tools that differ in quality. They differ in kind.

Continuous listening collects feedback from whoever chooses to give it, across as many channels as possible, without a defined sampling frame. It answers questions about direction and about individuals. Satisfaction is falling in the Southwest region. This customer is about to churn and someone should call them.

A designed study fields a specific instrument to a defined population, with quotas, randomization, and a base large enough to support the claim being made. It answers questions about magnitude. Forty-one percent of enterprise administrators cannot find the permissions screen, and the confidence interval is narrow enough to act on.

The distinction that matters for a buyer:

A feedback stream is not a measurement.

Continuous listening tells you what changed. A designed study tells you why it changed, by how much, and against a base you can defend when someone challenges it.

Both are legitimate research activities and most large organizations need both. The failure mode is buying one and expecting it to do the other's job, which typically surfaces the first time a program owner is asked how many customers a finding represents and the honest answer is that nobody knows, because the respondents self-selected.

Stated as a decision rule the reader can apply to any vendor in this category: InMoment is built to run a program, and Sprig is built to answer a question.

AI-Native and AI-Enabled Platforms Are Built Differently

Every platform in this category now markets AI, so the word has stopped distinguishing anything. The useful question is when the AI was added.

InMoment added AI to an established platform. Text analytics arrived through acquisition, generative summarization and automated review responses were layered onto products that already existed, and Active Listening extended a survey engine that was working before it.

That path produces breadth. Each capability is applied to a specific job that a customer was already doing manually, which is why InMoment's AI covers reviews, transcripts, audio, and survey verbatims rather than one input type.

Sprig was built the other way. Its agents were designed as the mechanism for creating, fielding, and analyzing a study, so a researcher's normal path runs through them instead of around them.

That path produces depth on a narrower job. It also means the AI participates in work that happens before any data exists, which a platform built around analyzing collected feedback has no natural place to do.

Neither history is a verdict. An AI-enabled platform with ten years of production text analytics is frequently more accurate on unstructured data than a newer AI-native one, and Sprig's own analysis capability is younger than InMoment's by a wide margin.

The distinction matters when a buyer asks where the AI sits relative to the decision. Analysis-stage AI makes existing feedback more useful. Design-stage AI changes which studies get run at all, because it lowers the cost of running one.

From Point Solutions to Unified Platforms

Enterprise research programs accumulated tools for a long time, and most large organizations are still carrying the result.

A typical stack included a survey tool, a panel vendor, an email delivery platform, a text analytics product, a dashboard layer, and a presentation step at the end. Each was chosen sensibly and each solved a real problem.

The cost showed up between them. A study designed in one system, fielded through a second, recruited through a third, and analyzed in a fourth spends most of its elapsed time in handoffs rather than in fieldwork.

Both platforms in this comparison are consolidation plays, and they consolidate different stacks.

InMoment consolidates the listening stack. Surveys, reviews, contact center conversations, digital sessions, and case management collapse into one program, replacing what would otherwise be a reputation vendor, a speech analytics vendor, and a voice-of-customer platform.

Sprig consolidates the research stack. Study design, participant recruitment, email delivery, in-product targeting, and analysis collapse into one platform, replacing what would otherwise be a survey tool, a panel vendor, and an email service.

An organization that buys both is not making a mistake. It is consolidating two different stacks that were always separate, and the overlap between them is smaller than a feature comparison suggests.

A Different Definition of Speed

Buyers evaluating survey platforms frequently ask which one is faster. That question can mean several different things.

It sometimes means how quickly a survey can be built, which is the least useful version. Building a questionnaire is rarely the bottleneck in an enterprise program.

It sometimes means how quickly responses arrive, which is largely a function of channel and audience rather than platform.

The more meaningful metric is time to insight: how long it takes to move from an initial business question to a decision supported by reliable evidence.

That journey typically includes:

Clarifying what decision the research supports
Selecting an appropriate methodology
Designing and programming the instrument
Reviewing it before it goes live
Recruiting the right participants
Fielding and monitoring responses
Analyzing results and identifying themes
Communicating findings to the people who will act

Reducing friction at each stage of that sequence often has a greater impact than optimizing any single feature.

The two platforms attack different stages. InMoment's services model compresses the first two stages for teams that lack the expertise, and its analytics compress the last two. Sprig's agents compress the middle, where programming, review, recruitment, and synthesis sit.

For a team with research skills already in place, the middle is usually where the weeks go.

Choosing Between Breadth and Workflow Efficiency

The honest framing of this comparison is a trade between coverage and speed on a narrower path.

InMoment covers more of what an enterprise might want to hear from customers. Reviews, calls, sessions, employee feedback, and surveys all land in one place, and a program office managing all of it from a single platform is doing something Sprig cannot support at all.

Sprig covers less ground and removes more steps within it. A researcher moves from question to fielded study to synthesized report without leaving the platform or waiting on anyone.

Neither approach is inherently better for every organization. The right choice depends on your existing investments, your operating model, and how you expect research to evolve over the coming years.

The question worth asking before either demo is which failure your team currently experiences more often. Missing signal because a channel is not covered points toward InMoment. Missing decisions because evidence arrived late points toward Sprig.

What the Qualtrics Acquisition Changes

Qualtrics now owns Qualtrics, Forsta, Confirmit, Decipher, FocusVision, Dapresy, InMoment, ReviewTrackers, and Rio SEO. That is most of the enterprise voice-of-customer category under one owner, with Medallia remaining the largest independent vendor.

Three things follow, and only the first is certain.

Vendor concentration is now real. An organization running InMoment for customer experience and Decipher for market research is running two products from the same owner, which weakens its position at renewal and concentrates roadmap risk.

Roadmap direction is unannounced. Neither Qualtrics nor Press Ganey has published a brand, product, or consolidation plan for InMoment. Anything a comparison page tells you about what happens next is speculation, including this one, which is why this guide describes the state of things rather than predicting the end of it.

Public signals are worth reading carefully and not over-reading. InMoment's own newsroom has published one item in 2026, the announcement that its parent company was acquired, and the item before it is dated July 30, 2025. InMoment's website currently carries a banner promoting Qualtrics' article about the acquisition. Its last independent placement in the Gartner Magic Quadrant for Voice of the Customer Platforms was April 2025, its fourth consecutive appearance as a Leader under its own name.

None of that means the product is deteriorating. Publishing cadence is not product quality, and an acquired company frequently goes quiet during integration for entirely ordinary reasons.

It does mean the independence argument no longer works. Organizations that chose InMoment specifically as the alternative to Qualtrics no longer hold that position, and Forrester's analysis following the close advised InMoment clients to begin developing an RFP requirements list sooner rather than later, noting that how or whether Qualtrics integrates the platform remains to be seen.

For a renewal conversation, that is the material fact. Not that InMoment has become a worse product, but that the reason many teams bought it has stopped being true.

AI Capabilities: How Sprig and InMoment Compare

Winner: Sprig

Both platforms apply AI at the moment a customer is responding. InMoment's AI probes for a richer verbatim inside a feedback stream. Sprig's agents span the research lifecycle, from a fully programmed study through fielding to an evidence-backed report. The difference is what the AI is accountable for.

At a Glance

InMoment's Premise: Better Listening Produces Better Feedback

InMoment's central AI claim deserves to be stated in its own framing before it is tested.

InMoment describes AI-Powered Active Listening as a patented capability that intelligently listens and responds to customers in real time, eliciting not only more feedback but more valuable responses. The argument behind it is sound and well supported by decades of survey research. Open-text boxes produce thin answers. A respondent who is asked a relevant follow-up gives you a better one.

The capability is real and it is deployed at scale. InMoment applies it across surveys, and its analytics stack extends the same idea to unstructured sources, bringing raw audio, threaded conversations, and transcripts into a single analysis.

For a customer experience program, this is genuinely valuable. Richer verbatims mean better root-cause analysis, and better root-cause analysis is most of what a program office does with its feedback.

Testing the Premise

The premise holds. The question is what it is accountable for.

A better verbatim is a better input to interpretation. It is not a base, a quota, or a repeatable instrument. Active Listening improves the quality of what a self-selected respondent tells you, and it does not change who chose to respond, how many of them there were, or whether the same question asked next quarter will produce a comparable number.

That distinction is not a criticism of InMoment. It is a description of what the capability is designed to do, and a program office is generally right not to care, because it is acting on individual cases instead of defending an estimate.

It becomes a problem only when the same feedback stream is asked to answer a question about magnitude. The verbatims are richer, the sample is still whoever showed up, and no amount of conversational intelligence repairs that.

The useful question to ask any vendor: is the real-time probing instrumented for measurement, or only for richer verbatims?

Sprig's Approach: AI Across the Research Lifecycle

Sprig applies AI at three points, and each agent is accountable for a different part of the work.

The Design Agent generates a complete study from an uploaded document, with response options, logic, and randomization already in place. It then checks its own output, detecting broken or conflicting logic, flagging unclear questions, estimating completion time, and simulating the study across personas before it goes live.

That last part is the meaningful difference. Reviewing a study before fielding is a methodological step, and Sprig automates a version of it rather than automating drafting alone.

The Field Agent manages conversational delivery and generates follow-up questions in real time based on responses. This is the direct analogue of Active Listening, and it should be described as one. Sprig reports up to a twofold improvement in completion rate from conversational delivery, which is Sprig's own figure with no published baseline, so treat it as a vendor claim, not an independent result.

AI follow-ups can be disabled per study. For a tracker that has to stay identical quarter over quarter, that switch matters more than the feature does.

The Synthesize Agent generates an evidence-backed report as responses arrive, with themes, summaries, and supporting quotes. Historically, researchers waited until fieldwork closed before analysis began. Reading results as they accumulate changes what a team can do about a study that is going wrong.

Rather Than Adding AI to Analysis, Sprig Applies It Before the Study Exists

The structural difference is where each platform's AI sits relative to the study.

InMoment's AI is strongest after feedback exists. It listens, transcribes, categorizes, summarizes, and drafts responses, and it does all of that well across a wider range of input types than Sprig handles.

Sprig's AI is strongest before feedback exists. A poorly designed survey cannot be rescued by great analytics, and most of the cost of a bad study is paid at design time.

Neither position is inherently better. A team drowning in unstructured feedback from six channels needs the first. A team that fields ten studies a quarter and cannot get them designed fast enough needs the second.

How Sprig Governs Agent Access to Research Data

One area has no published InMoment equivalent, and it is becoming a procurement question rather than a technical one.

Sprig publishes data governance controls for agent access covering how external AI tools reach research data. Access is scoped to the authenticated user's role, so an agent inherits permissions rather than bypassing them. Response retrieval is capped at 1,000 responses per call. Response data is not used to train models.

Two controls matter most to a security reviewer. Agents cannot launch or modify a live study, because a human approves every study in the application. And administrators hold an organization-wide kill switch that revokes agent access immediately.

No equivalent published governance documentation was found for InMoment. That is an absence in the public record, not a demonstrated gap, and a buyer should ask for it directly.

The reason this matters now is that security teams have started asking what an AI agent can do with customer data, and a vendor that has already published its answer moves through review faster than one assembling it during the review.

What Sprig's AI Does Not Do

Sprig's agents draft, recommend, and check. Researchers remain responsible for validating the methodology.

Two limits are worth stating plainly, because they run against the argument this chapter is making. Sprig does not publish its estimation methodology for MaxDiff. It also publishes no guidance on weighting, sample size, or statistical power.

For a platform positioning itself around defensible measurement, that is a real gap in the documentation, and buyers who need to defend estimates to a methodologist should ask for the details directly instead of assuming them.

AI for Executives

Executives rarely open a research platform, and both vendors have built for that reality in different ways.

InMoment generates program-level reporting with benchmarked context, so an executive sees a score against an industry norm rather than in isolation. That framing is frequently what a board-level conversation needs.

Sprig's Synthesize Agent produces an evidence-backed narrative with supporting quotes attached to each theme, so a claim in an executive summary can be traced to the responses behind it.

Executives generally want:

Top findings
Biggest opportunities
Recommended actions
Supporting evidence

The difference is what the summary is grounded in. InMoment's is grounded in a continuous stream and answers how things are trending. Sprig's is grounded in a designed study and answers what a specific group of people said when asked a specific question.

Looking Beyond Today's AI Features

Feature comparisons in this category date quickly, and both vendors will ship capabilities that postdate this guide.

The durable question is architectural. A platform that treats AI as a feature adds capabilities alongside the existing workflow. A platform that treats AI as the interface changes what the workflow is.

InMoment's public direction is currently unclear for a reason outside its control, since its roadmap now sits with an owner that has published no plan. Buyers evaluating it on future capability are evaluating an unannounced roadmap.

Sprig's direction is visible in what it has already shipped, with study creation moving from the application into an agent interface over 2026. Whether that direction suits a given organization is a separate question from whether it is legible.

AI Verdict

Both platforms ship AI that touches the respondent in real time, and both do it well. InMoment's Active Listening is a mature capability applied across a wider range of feedback types than Sprig handles, and its speech and text analytics have no Sprig equivalent at all.

Sprig's advantage is scope. Its AI participates in designing the study, checking it, fielding it, and reporting on it, and it publishes governance controls for agent access that InMoment does not.

If your AI requirement is making sense of large volumes of unstructured feedback arriving continuously from many channels, InMoment is the stronger platform. If your AI requirement is getting a well-designed study fielded and analyzed faster, Sprig's agents cover more of that work.

Survey Creation: How Sprig and InMoment Compare

Winner: Sprig

Survey creation is often judged by the number of question types available. In practice, the constraint on most enterprise research programs is not what the builder can express, but how long it takes to get from a research objective to a programmed study someone has reviewed.

At a Glance

Starting With a Blank Page or Starting With an Objective

InMoment provides a survey builder covering branding, question types, logic, and design in one interface, with a library of pre-built templates that are ADA compliant. Experts are available to help build, which for many InMoment customers is the intended path, not the fallback.

Sprig starts one step earlier. A researcher uploads a document describing the objective, and the Design Agent returns a programmed study with response options, logic, and randomization in place.

Rather than assembling a questionnaire and then reviewing it, the researcher reviews a draft and edits it. That inverts where the time goes.

Question Types and Logic

Sprig documents fourteen question types: rating scale, open text, matrix, multiple choice single and multi, Net Promoter Score, consent, text and URL prompts, video and voice, rank order, recorded task, MaxDiff, conjoint, and multi-question single page.

Two are unusual in this category. Recorded task captures screen, voice, and video while a participant works through a prototype. Video and voice questions collect asynchronous recorded responses instead of typed ones.

Logic covers skip, display, response piping, and attribute piping. Randomization operates at three levels: response options, questions within a page, and pages within a survey. Response-based quotas shipped in July 2026.

InMoment publishes survey logic, branding control, and question type selection, and does not publish a question type count or randomization and quota details in comparable form. This guide treats those as undocumented, not absent.

The Researcher's Experience Is the Constraint

Enterprise survey programs rarely fail because a platform could not express a question. They slow down because each study passes through several hands.

Sprig's automated checks address a specific part of that. Detecting conflicting logic and unclear questions before fielding removes a review cycle that would otherwise involve a second person.

InMoment's services model addresses the same problem differently, by putting an expert on it. That is faster for a team with no research skills in-house and slower for a team that has them, because the work now waits in someone else's queue.

Question Types and What They Enable

A question type list looks like a checklist and functions as a constraint on what research is possible.

Sprig documents fourteen types, and three of them enable studies that a conventional survey builder cannot support. Recorded task captures screen, voice, and video while a participant works through a prototype. Video and voice questions collect spoken answers asynchronously. Conjoint and MaxDiff support trade-off modeling directly.

The first two matter for teams doing usability and concept work, because they collect behavior alongside opinion. Watching someone fail to complete a task produces different evidence than asking whether the task was easy.

InMoment publishes question type selection, branding control, and logic within its builder without a comparable published inventory. Its strength in this area is the template library and the expertise available to configure it.

The evaluation question is not which list is longer. It is whether the studies your team actually runs are expressible without workarounds, which is best answered by attempting one during a trial.

Collaboration and Reusable Assets

Enterprise research is rarely a solo activity, and the review step is where most studies lose time.

InMoment's model routes review through its services organization for many customers, which produces consistency and a queue. For a program running standardized surveys across many locations, consistency is the point.

Sprig's automated checks catch a category of problem that would otherwise require a second reader. Detecting conflicting logic and flagging unclear wording is not a substitute for methodological review, and it removes the round trip for the errors that are mechanical.

Reusable assets matter more as a program scales. Template libraries, saved question blocks, and standardized instruments keep a tracker comparable across runs, and both platforms support template-based creation.

The difference is who maintains the library. In a services-led model that responsibility typically sits with the vendor, which is an advantage for a team without research operations and a constraint for one with it.

Survey Creation Verdict

Both platforms build enterprise surveys competently. InMoment's builder is mature and its template library is broad, and organizations that want a partner to build the instrument will find that model well supported.

Sprig's approach removes more of the manual assembly. Generating a programmed study from an objective, then checking it automatically, compresses the part of the process that usually costs the most time.

If your team wants a services partner to design and build studies, InMoment's model is a feature rather than a constraint. If your researchers want to move from question to fielded study in a day without filing a request, Sprig is built for that.

Survey Distribution and Participant Recruitment

Winner: Tie

InMoment reaches customers across more channels. Sprig reaches people who are not customers yet. Which of those matters more is a function of the research you do, and for most organizations evaluating both platforms the answer is genuinely split.

At a Glance

InMoment's Channel Coverage Is Broader

InMoment publishes survey delivery through mobile, email, SMS, links, QR codes, Intercom Messenger, and in-app messages, and its Mobile Survey SDK supports deployment inside native applications. Invitations trigger from Salesforce, Zendesk, Marketo, HubSpot, Microsoft Dynamics, and Adobe, so a survey typically fires from the system where the customer event already happened.

Two of those channels have no Sprig equivalent. Sprig does not offer SMS, and it does not integrate with Intercom Messenger.

SMS is not a rounding error for every buyer. Organizations whose customers already expect text messages from them, which commonly includes banks, airlines, telecoms, and ride-hailing services, frequently get their best transactional response rates there.

InMoment also publishes protection against duplicate sampling across channels and devices, so a customer who receives an email survey does not also get an in-app one the same week. Survey fatigue management is a program-level concern that Sprig does not document in comparable form, and it is exactly the kind of capability a platform accumulates when it is built to run continuously.

Sprig Reaches People Who Are Not Your Customers

Sprig publishes six channels: in-product surveys on websites and web applications, in-product surveys in native mobile apps across iOS, Android, React Native, and Flutter, email with a custom sending domain, shareable links, QR codes, and external research panels.

The panel is the structural difference. Sprig provides access to 300K+ verified B2B and B2C participants globally with 300+ targeting attributes spanning demographic, professional, behavioral, and firmographic criteria.

Historically, reaching non-customers meant a separate procurement cycle. A team would design the study in one platform, purchase respondents from a panel vendor, field through a third system, and reconcile the data afterward.

That sequence typically adds weeks before a single response arrives, and it is the reason a great deal of market research inside product organizations simply does not happen.

InMoment references a global consumer panel but publishes no vendor, size, or targeting detail, so the two cannot be compared directly on this dimension. Buyers who need external recruitment should ask InMoment for those specifics.

In-Product Delivery Works Differently on Each Platform

Both platforms deliver surveys inside digital products, and the targeting model differs.

Sprig's in-product surveys target on product events and user attributes, so a study can field to users who completed onboarding in the last seven days on a specific plan tier. That targeting precision is what makes in-product research usable for product decisions instead of general satisfaction tracking.

InMoment's microsurveys, which descend from its Wootric acquisition, capture Net Promoter Score, customer satisfaction, and customer effort at digital touchpoints, and trigger on events and customer attributes as well.

The practical difference is generally one of intent. InMoment's in-product surveys are typically part of a continuous measurement program. Sprig's are typically a study with a start and an end.

Other Distribution Channels

Beyond the primary channels, both platforms support delivery routes that matter for specific research situations.

Shareable links remain the most flexible option. A link can go into a newsletter, a community post, a partner communication, or a support ticket, and both platforms generate them.

QR codes extend that to physical contexts. Both platforms support them, and for InMoment's multi-location customers this connects an in-store experience to a digital response.

Both platforms support longitudinal research, where the same instrument fields repeatedly to track change. Sprig supports this through multiple runs from a single study, which keeps the instrument fixed across waves.

The channel that separates them remains SMS, and the gap is not evenly distributed across industries. A software company rarely misses it. A bank, an airline, or a telecom operator frequently cannot run its transactional program without it.

Why Native Email Delivery Matters

Email remains the highest-volume survey channel in most enterprise programs, and it is frequently the one that gets outsourced to a tool that was not built for it.

Sending surveys through a marketing automation platform creates two problems. Research invitations compete with marketing sends for the same sending reputation, and the survey platform loses visibility into who opened, who bounced, and who needs a reminder.

Sprig delivers email natively with a custom sending domain, so invitations come from the organization's own domain and delivery data stays inside the study.

InMoment triggers invitations from Salesforce, Zendesk, Marketo, HubSpot, Microsoft Dynamics, and Adobe, which is a different and equally valid model. The invitation fires from the system that holds the customer event, which is what a transactional program generally wants.

The two approaches suit different research. Transactional feedback tied to a service interaction belongs where the interaction is recorded. A designed study fielded to a sample belongs where the study lives.

Teams evaluating either should ask a specific question: when a study needs a reminder sent to non-responders three days in, who configures that and where does it run?

Distribution Verdict

Both platforms distribute surveys across the channels most enterprises need, and each covers ground the other does not.

InMoment is stronger on channel breadth for reaching existing customers. SMS, Intercom, contact center feedback, and cross-channel fatigue management are real capabilities and Sprig has none of them.

Sprig is stronger on reaching participants outside the customer base, and its in-product targeting is built around product events in a way that suits research rather than tracking.

Organizations running always-on customer feedback across many touchpoints will generally find InMoment's channel coverage the better fit. Teams that need external participants, or in-product research targeted on product behavior, will find Sprig covers that ground without a second vendor.

Advanced Research Methods

Winner: Sprig

Advanced quantitative methods are where the two platforms diverge most clearly, and also where the comparison is easiest to get wrong now that InMoment sits inside a larger group.

At a Glance

What Each Platform Actually Documents

Sprig ships conjoint analysis and MaxDiff as first-party question types. A researcher configures either inside the survey builder without exporting to a separate analysis tool.

InMoment does not document conjoint or MaxDiff as capabilities of its platform. Its glossary defines advanced market research as a field that uses conjoint analysis, MaxDiff, factor analysis, structural equation modeling, cluster analysis, and nonlinear regression.

That distinction is worth being precise about, because it is where competing comparison pages tend to err in both directions. A glossary entry describing what a discipline involves is not a claim that the platform performs it, and no conjoint or MaxDiff question type appears in InMoment's published product documentation.

InMoment does not document conjoint or MaxDiff as capabilities of the XI Platform. For a product manager deciding how to package tiers, or a pricing lead choosing between feature bundles, that is disqualifying rather than inconvenient. Those decisions require a trade-off model, and a satisfaction score cannot substitute for one.

The Acquisition Changes This Argument

There is an honest complication here, and it works against Sprig.

Since May 18, 2026, an organization evaluating InMoment is evaluating a product inside a group that also owns Forsta, Confirmit, and Decipher. Those are serious market research instruments with a long lineage in complex survey scripting and advanced methods.

A buyer with a Qualtrics relationship can therefore often reach conjoint and MaxDiff capability through the same vendor, even though InMoment itself does not publish it.

Arguing method coverage against InMoment as a standalone product would ignore that, and a procurement team that has seen the group's portfolio will notice. The accurate framing is that the capability is not in the product being compared, and it may be available from the owner at additional cost and configuration.

Where Sprig's Own Documentation Falls Short

Shipping a method and documenting how it is estimated are different things, and Sprig currently does the first without the second.

Sprig does not publish its estimation methodology for MaxDiff. Some competitors in adjacent categories do publish theirs, including the specific estimation approach and the formulas behind index scores.

Sprig also publishes no guidance on weighting, sample size, statistical power, or significance testing, and does not ship TURF or Gabor-Granger at all. Van Westendorp is delivered as a survey template rather than a built-in analysis engine with demand and revenue curves.

A researcher who has to defend an estimate to a skeptical stakeholder should ask Sprig for that documentation directly. A platform positioning itself around defensible measurement is fairly asked to publish how the measurements are produced.

Methodological Rigor Is Not a Feature Checklist

The reason to care about any of this is narrower than a feature comparison suggests.

You can ask a trade-off question on many platforms. The question is whether the answer survives contact with someone who asks how the utilities were estimated, what the base size was for the segment being quoted, and whether the item order was randomized.

Reliable enterprise research still depends on:

Appropriate sampling
Representative respondents
Sound experimental design
Clear question wording
Statistical validity
Thoughtful interpretation

The strongest platforms help researchers execute those principles more efficiently, and no platform in this comparison automates the judgment behind them.

Enterprise Research Has Changed

The methods in this chapter used to sit with a specialist function.

An organization wanting a conjoint study commissioned one. An agency scoped it, fielded it, and delivered a deck, and the elapsed time was measured in months against a budget that required approval.

That model still exists and still works for high-stakes strategic research. What changed is the volume of smaller decisions that now want the same rigor.

Product teams ship faster than they used to. Pricing changes more often. Packaging gets revisited every planning cycle rather than every few years.

Each of those decisions is too small to commission an agency study and too consequential to settle with a rating scale. The gap between them is where platform-native trade-off methods matter.

The practical test is frequency. An organization running one pricing study a year is well served by an agency. An organization facing a packaging question every quarter needs the method in a platform its own team can operate.

AI Is Making Advanced Methods More Accessible

Historically, advanced quantitative methods were reserved for specialized research teams, because they required significant expertise and manual configuration.

A conjoint study needs attributes and levels defined, a design generated, sample size estimated, and utilities interpreted. Each step is a place where a non-specialist gets it wrong, and the errors are frequently invisible in the output.

AI changes the accessibility of that work without changing the underlying requirements. A researcher can describe a business question in plain language and receive a methodology recommendation.

Consider a stakeholder who says:

"I need to understand whether customers prefer Feature A or Feature B."

Instead of defaulting to a rating scale, an assistant might recommend:

MaxDiff for relative prioritization across a longer list
Conjoint for trade-offs when price or bundling is involved
Concept testing when the comparison is between finished propositions

That guidance lowers the barrier to running the right study. It does not lower the barrier to defending it, which still depends on sample, base size, and estimation approach.

Experienced researchers remain responsible for validating the final approach. AI reduces the expertise required to get started while encouraging better research practice across the organization, and it does not replace the judgment that makes a finding survive challenge.

Advanced Methods Verdict

Sprig ships conjoint and MaxDiff as documented question types and InMoment does not, which is the clearest capability gap in this guide.

The gap narrows for buyers already inside the Qualtrics group, who can often source those methods from a sibling product, and it narrows again for buyers who need TURF, Gabor-Granger, or published estimation methodology, none of which Sprig provides.

Teams making pricing, packaging, or feature prioritization decisions will find the methods they need documented in Sprig and undocumented in InMoment. Teams whose research is satisfaction measurement rather than trade-off modeling will rarely encounter this difference at all.

Reporting and Analysis

Winner: Tie

InMoment's text mining is deeper at scale. Sprig's synthesis is faster to a decision. Both statements are true, and which one matters depends on whether your analysis problem is volume or speed.

At a Glance

| Analysis capability | Sprig | InMoment | |:---:|:---:|:---:| | Real-time dashboards | ✅ | ✅ | | Filtering and segmentation | ✅ | ✅ | | Theme extraction from open text | ✅ | ✅ | | Sentiment analysis | ✅ | ✅ | | Speech and audio analysis | Not offered | ✅ | | Analysis across non-survey sources | Not offered | ✅ Reviews, conversations, sessions | | AI-generated reports | ✅ Synthesize Agent | ✅ | | Supporting quotes in generated reports | ✅ | ✅ | | Syndicated benchmarks | Not offered | ✅ | | Cross-study querying through AI tools | ✅ Through MCP | Not publicly documented |

InMoment Analyzes More Kinds of Data

InMoment's analytics stack is the product of a long acquisition history, and it shows in the range of inputs it handles.

The platform brings survey responses, online reviews, contact center transcripts, raw audio, threaded conversations, and digital session data into a single analysis. InMoment was named a Leader in the Forrester Wave for Text Mining and Analytics Platforms in the second quarter of 2024, which is independent validation of depth, not a vendor claim.

For an organization holding millions of unstructured interactions across many channels, that capability has no equivalent in this comparison. Sprig analyzes survey responses and the video and voice responses collected inside its own studies. It does not analyze reviews, call recordings, or support tickets at all.

InMoment also publishes syndicated benchmarking, so a program can compare its scores against industry norms. Teams that report a benchmarked position to an executive committee every quarter would lose that entirely on a move to Sprig.

Sprig Compresses the Distance From Response to Decision

Sprig's Synthesize Agent generates an evidence-backed report while responses are still arriving, covering themes, summaries, and supporting quotes.

Historically, analysis began once fieldwork closed. A researcher exported responses, coded open text, built charts, and assembled a deck, and the elapsed time between the last response and the first decision was frequently measured in weeks.

Reading themes as they accumulate changes what a team can do mid-study. A study that is producing unusable answers because a question is ambiguous can be caught on day one instead of day fourteen.

Instead of reading three thousand onboarding responses, a researcher might receive a summary such as:

Setup was generally straightforward.
Users struggled with permissions.
Pricing confusion appeared repeatedly.
Mobile onboarding satisfaction exceeded desktop.

The value is not that a person could not produce that list. It is that producing it typically consumed the days when the finding was most useful.

Analysis Is Becoming Conversational

One capability sits outside both platforms' dashboards and is increasingly where analysis happens.

Sprig's Model Context Protocol connector lets a researcher query research data from Claude, ChatGPT, Gemini, Copilot, and Cursor. Questions that would previously have required building a filtered view can be asked directly, including questions spanning several studies.

No equivalent first-party connector is publicly documented for InMoment, so this is a difference in what each vendor has published, not a demonstrated absence.

Historical Research Becomes More Valuable Over Time

A research repository is worth more in year three than in year one, and most organizations underinvest in it accordingly.

The reason is compounding. A finding from a study eighteen months ago becomes useful when a similar question returns, and a team that cannot retrieve it runs the study again.

InMoment's advantage here is longitudinal continuity within a program. A customer experience metric tracked consistently across years produces trend data that a newer platform cannot retroactively create.

Sprig's advantage is queryability. Its agent connector allows questions to span studies, so a researcher can ask what previous work has covered without knowing which study to open.

Both advantages have the same practical implication for a migration. Historical data that stays behind stops compounding, and the decision about what to export is worth making deliberately rather than at contract end.

Cross-Tabulation and Segmentation

Most research questions become useful only when the answer is split by something.

Cross-tabulation, filtering, and segmentation are table stakes on both platforms, and both allow results to be broken down by respondent attributes, product usage, or survey responses.

The constraint is rarely the tool. It is whether the study was designed with enough base in each segment to support the split, which is a design-time decision that no reporting layer repairs.

This is where quotas and sample size guidance earn their keep. A study fielded without a minimum base per cell produces segment comparisons that look precise and are not, and the reporting interface will render them either way.

Sprig supports response-based quotas, which control cell sizes during fielding. Neither vendor publishes sample size guidance, so both leave that judgment to the researcher.

Sharing Results Across the Organization

Research that stays inside the research team changes nothing.

InMoment distributes results through role-based dashboards and case assignment, so a finding arrives as a task for a specific owner. That routing is a core part of the closed-loop model and it is well developed.

Sprig distributes results as reports and through its agent connector, so a stakeholder can query findings from the AI tools they already use instead of learning a dashboard.

The two models suit different audiences. Operational owners who need to act on individual cases are served by routing. Analysts and product teams who need to interrogate findings are served by queryable access.

Reporting Verdict

Both platforms turn responses into something a stakeholder can read, and each is stronger in a different direction.

InMoment analyzes a far wider range of inputs, holds independent analyst validation for text mining depth, and offers syndicated benchmarking that Sprig does not provide at all.

Sprig moves faster from response to decision within a study, and its agent connector makes research data queryable from the AI tools teams already use.

Organizations analyzing large volumes of unstructured feedback from many channels will be better served by InMoment. Teams whose analysis bottleneck is the time between fieldwork closing and a decision being made will generally prefer Sprig's approach.

Reputation and Local Experience Management

Winner: InMoment

InMoment wins this outright and Sprig does not compete. This chapter exists because a substantial share of InMoment deployments are reputation programs, and a reader in that position should stop evaluating Sprig here.

What InMoment Provides

InMoment captures ratings and reviews across major maps platforms, review sites, and vertical directories, and manages business listings alongside them so that location data stays accurate across the places customers search.

Its reputation products include Location Performance Scoring, which ranks individual locations on their local experience performance, and AI Auto Responding, which drafts responses to reviews at enterprise scale. Competitor Intelligence applies generative AI to review data from rival businesses.

The scale is real. InMoment's 2025 reputation benchmark analysis covered 31 million reviews across more than 226,500 business locations.

For a multi-location business, reputation is frequently the highest-return customer experience investment available, because local search ranking and star ratings affect footfall directly and measurably.

What Sprig Provides

Nothing in this category.

Sprig has no review capture, no ratings management, no listings management, no local search capability, and no response generation. There is no partial equivalent and no roadmap claim to hedge with.

Why This Chapter Exists

A comparison guide that omitted reputation management would be more flattering to Sprig and less useful to a reader.

Reputation is one of the two most common reasons organizations buy InMoment, and a substantial share of readers arriving at a page comparing these platforms are running that workload. Telling them to keep it is the accurate recommendation.

It also sets the boundary for everything else in this guide. Sprig competes on research, and a platform comparison is only worth reading if it is clear about where the competition stops.

Reputation Verdict

InMoment wins this chapter without qualification.

An organization using InMoment primarily for multi-location reputation management has nothing here to migrate to, and a comparison page suggesting otherwise would be wasting your time. If reputation is the job you hired InMoment for, the answer to this guide's question is that you should keep it.

Contact Center and Conversational Intelligence

Winner: InMoment

InMoment wins this outright as well. Sprig has no voice channel and no path to one.

What InMoment Provides

InMoment analyzes contact center conversations as a first-class data source rather than as an integration. The platform transcribes interactions, applies generative summarization across them, scores quality automatically, produces agent scorecards, and provides in-channel assistance to agents while they work.

The commercial argument for this is straightforward. Most organizations survey a small fraction of customers and speak to a much larger fraction, so the contact center typically holds the richest and least-used record of customer experience in the business.

Automated quality scoring across interactions also replaces a manual sampling process that most contact centers run at a few calls per agent per month, which is a genuine change in coverage, not an efficiency gain.

What Sprig Provides

Sprig has no voice channel, no speech analytics, and no agent quality workflow.

Sprig does collect asynchronous respondent-recorded video and voice responses inside studies, and captures screen, voice, and video during a recorded prototype task. Those are research instruments for observing a participant completing a task, and they are not an answer to contact center analytics. Presenting them as one would be misleading.

What This Means for a Consolidation Decision

Organizations frequently approach a renewal hoping to reduce vendor count, and contact center analytics is where that ambition usually meets its limit.

The capability is genuinely specialized. Transcription accuracy, automated quality scoring, and agent assist are built on infrastructure that a research platform has no reason to develop.

A consolidation plan that assumes this workload can move somewhere cheaper generally discovers otherwise during implementation, and the discovery is expensive because the program has already been committed.

The realistic outcome for most organizations running both research and contact center analytics is two vendors, deliberately chosen.

Contact Center Verdict

InMoment wins this chapter without qualification.

A customer experience program built around contact center conversation analytics has no equivalent in Sprig, and teams in that position should treat this guide as a question about their research workload rather than their customer experience platform.

Integrations, APIs, and AI Workflows

Winner: Depends on whether your integration problem is breadth or agent access

InMoment connects to more systems. Sprig connects to more AI tools. Enterprise research lives across many systems, and which kind of connectivity matters depends on where the friction currently sits in your workflow.

At a Glance

InMoment Connects to More of the Enterprise

InMoment publishes roughly one hundred named connectors, with a services organization available to build and maintain them.

Survey invitations trigger from Salesforce, Zendesk, Marketo, HubSpot, Microsoft Dynamics, and Adobe, so a feedback request typically fires from the system where the customer event occurred without a team building that plumbing itself.

This is a real advantage and it should not be minimized. Sprig's connector count is materially smaller, and an organization that depends on human resources systems, vertical directory feeds, or a long tail of operational tools will find gaps that InMoment does not have.

Neither platform documents warehouse-native connectors to Snowflake, BigQuery, or Redshift, so a team building a research data pipeline into a warehouse will be doing integration work on either platform.

Sprig Connects to the Tools Teams Now Work In

Sprig ships a first-party Model Context Protocol connector linking research data to Claude, ChatGPT, Gemini, Copilot, and Cursor. Study creation through that connector followed in June 2026, so an agent can build a study as well as read results from one.

The reason this matters is a change in where analytical work happens. A growing share of research questions are now asked inside an AI assistant rather than inside a dashboard, and a platform that cannot be reached from there is one export away from every question.

First-party support is the distinction to check. Directories list many connectors that vendors did not build and do not support, and a third-party wrapper carries none of the governance guarantees a first-party server does.

No first-party MCP server for InMoment was found in its published developer documentation. That is an absence in the public record, and buyers should ask InMoment directly instead of treating it as settled.

From Integrations to Interoperability

The goal of integrations is not simply to move data between systems.

Historically, an integration existed so a person could see feedback in a tool they already had open. That model assumes a human reads the data and decides what to do next.

Agent access assumes something different, which is that software will read the data and act on it, and that the controls governing what it may do have to be explicit. Sprig has published those controls and InMoment has not, which is the practical difference between the two platforms in this area today.

Research as Part of the Enterprise AI Stack

Enterprise AI deployments have moved from pilots to production, and research data is becoming one of the inputs those systems expect to reach.

A product team running an internal assistant over roadmap documents, support tickets, and analytics gets a materially better answer when customer research is in that pool. Historically it was not, because research lived in a platform designed to be read by people.

Sprig's connector makes research data reachable from Claude, ChatGPT, Gemini, Copilot, and Cursor, which places it inside the same retrieval layer as other enterprise sources.

The governance question follows immediately. An agent that can read research responses is reading customer data, and the controls on that access become a security matter rather than a convenience.

Sprig has published those controls. No equivalent documentation was found for InMoment, which buyers should raise directly given how quickly this has become a standard review question.

Integrations Verdict

Both platforms integrate with the systems enterprises run, and they optimize for different ends of the problem.

InMoment offers substantially broader connector coverage backed by a services team, which is the stronger answer for an organization stitching feedback into many operational systems.

Sprig offers first-party agent access with published governance, which is the stronger answer for a team that wants research reachable from the AI tools it already uses.

Organizations whose integration burden is breadth across operational systems will prefer InMoment. Teams whose integration burden is getting research into an agent workflow will prefer Sprig.

Enterprise Security and Governance

Winner: InMoment

InMoment's published compliance posture is broader than Sprig's, and this is the chapter where a security review will notice the difference. Both platforms meet the baseline most enterprises require, and InMoment clears several bars that Sprig has not yet published.

At a Glance

| Control | Sprig | InMoment | |:---:|:---:|:---:| | SOC 2 Type II | ✅ | ✅ | | ISO 27001 in the vendor's own name | AWS certification cited, not Sprig's own | ✅ | | HIPAA | ✅ | ✅ | | GDPR | ✅ | ✅ | | CCPA | ✅ | ✅ | | Data Privacy Framework | ✅ | Not published | | SAML single sign-on | ✅ Auth0, Google Workspace, Entra ID, Okta, OneLogin | ✅ | | SCIM provisioning | Not offered | Not published | | Audit logging | ✅ Retained one year or more | ✅ | | Regional data hosting | United States only | Multiple regions, specifics not published | | Published agent access controls | ✅ | Not publicly documented |

Where InMoment Is Ahead

InMoment holds ISO 27001 certification in its own name, audited by an independent assessor, alongside SOC 2. Sprig cites the ISO 27001 certification of its cloud provider rather than holding one itself.

That difference is not cosmetic to a security reviewer. A cloud provider's certification covers the provider's controls, not the vendor's own development, access management, and incident response practices, and procurement teams increasingly ask for the vendor's certificate specifically.

InMoment also operates regional sites across North America, Europe, the United Kingdom, and Asia Pacific, and serves regulated industries including healthcare and financial services. Sprig hosts in the United States with no regional option published.

For an EU-headquartered organization carrying a data residency requirement into procurement, Sprig's United States hosting is the load-bearing gap in this comparison. That is not a preference to be negotiated. It is generally a condition of purchase, and it runs against Sprig rather than for it.

Three Sprig limitations belong in a buyer's evaluation without hedging: no SCIM provisioning, no ISO 27001 certification of its own, and no regional hosting option.

Where Sprig Is Ahead

One area of governance is newer than the certification frameworks, and Sprig has published more about it than InMoment has.

Sprig's data governance controls for agent access specify that access is scoped to the authenticated user's role, that response retrieval is capped at 1,000 responses per call, that response data is not used to train models, that agents cannot launch or modify a live study because a human approves every study in the application, and that administrators hold an organization-wide kill switch.

Security reviews have started asking what an AI agent connected to a research platform is permitted to do. A vendor with published answers moves through that review faster than one drafting them in response to a questionnaire.

Sprig's baseline controls are otherwise conventional and adequate. SOC 2 Type II, HIPAA, GDPR, CCPA, and the Data Privacy Framework are published, SAML single sign-on works with the major identity providers, and audit logs are retained for a year or more. Full details are on Sprig's security standards page.

Governance Without Slowing Research

Governance requirements and research velocity pull against each other, and the tension is usually resolved badly.

An organization that centralizes every study behind an approval queue gets consistency and loses the ability to answer a question this week. An organization that lets every team field freely gets speed and eventually gets a compliance incident.

Role-based permissions, template libraries, and approval workflows are how platforms resolve that, and buyers evaluating either vendor should ask for specifics rather than assuming the category standard. Neither vendor publishes granular governance documentation in the detail a research operations lead typically needs.

AI Introduces New Governance Questions

Security review templates were written before research platforms shipped AI agents, and most organizations are updating them now.

The older questions still apply. Where is the data hosted, who can access it, how long is it retained, and what happens at termination.

The newer questions are different in kind. Can an AI agent read customer responses, can it act on them, whose permissions does it inherit, and who can revoke it immediately.

Those questions have started appearing in enterprise procurement because the alternative is already happening informally. Teams export responses into an AI assistant, which places customer data outside every control the platform provides.

A governed connector is frequently a security improvement over the practice it replaces, and that is the argument worth making internally rather than treating agent access as new risk.

Sprig has published its answers to the newer questions. InMoment has not published equivalent documentation, which does not mean the controls are absent, and buyers should request them in writing during evaluation.

Identity, Access, and Provisioning

Identity management is where most enterprise security reviews start, and the two platforms diverge on one specific control.

Both support single sign-on. Sprig publishes SAML integration with Auth0, Google Workspace, KeyCloak, Microsoft Entra ID, Okta, and OneLogin, which covers the identity providers most enterprises run.

Neither vendor publishes SCIM provisioning. For Sprig this is a confirmed absence. For InMoment no mention was found in any retrievable source, so it should be asked about rather than assumed in either direction.

The practical consequence of no SCIM is manual deprovisioning. When an employee leaves, someone removes their access by hand, and in an organization with hundreds of platform users that becomes an audit finding rather than an inconvenience.

Auditability and Scale

Audit logging is the control that determines whether a governance policy is enforceable or aspirational.

Sprig retains audit logs for a year or more, covering who accessed what and when. InMoment publishes audit capability as part of its enterprise administration, without comparable public detail on retention.

Scale introduces a different problem. A platform used by twelve researchers and a platform used by nine hundred occasional users need different permission models, and the second case is where template libraries and approval workflows stop being optional.

Neither vendor publishes granular governance documentation at the level a research operations lead evaluating a large rollout would need. Both should be asked for it in writing during evaluation.

Enterprise Security Verdict

Both platforms provide the enterprise controls large organizations expect, and InMoment publishes more of them.

InMoment's own ISO 27001 certification, its regional presence, and its compliance depth in regulated industries give it the stronger position in a conventional security review.

Sprig's baseline is adequate for most enterprise buyers and ahead of InMoment specifically on published governance for AI agent access, which is a newer requirement and an increasingly common one.

Organizations with a data residency requirement, or a procurement standard demanding the vendor's own ISO 27001 certificate, should expect InMoment to clear that bar and Sprig not to. Teams whose security question is what an AI agent may do with research data will find Sprig has published an answer.

Implementation, Migration, and Total Cost of Ownership

Winner: Sprig

The cost difference between these platforms is rarely licensing. It is how much of your routine work requires a vendor ticket, and that difference compounds every week for the life of the contract.

At a Glance

Two Different Models, Not Two Speeds

InMoment pairs its platform with an advisory and services organization. Experts help design the survey program, configure dashboards, and interpret results.

For an organization with no research headcount, that model is the reason to buy. A team that could not design a customer experience program alone gets one designed, and the services relationship is a genuine part of the value, not an upsell.

The same model has a predictable cost. Work that flows through a services team moves at the speed of that team's queue, and public reviews of InMoment frequently describe long turnarounds for changes that a user might expect to make themselves.

Sprig inverts that. There is no services organization, which means there is nobody to design your program and nobody to wait for when you want to change a question.

Neither model is inherently better. They suit different organizations, and the mistake is buying the services-led model with a team that wanted autonomy, or the self-serve model with a team that needed a partner.

The Implementation Autonomy Diagnostic

Total cost of ownership is easier to estimate if you know how much of your routine work you can do yourself. These six questions apply to any vendor, including Sprig, and are worth answering honestly about your current platform before evaluating a new one.

When you need a new filter on an existing dashboard, can a member of your team add it today?
When a survey question needs rewording after launch, who makes that change and how long does it take?
When you want to field a study to a new audience segment, does that require a configuration request?
When a report needs restructuring for an executive audience, is that a self-serve task?
When you add a new product surface, can your team deploy a survey to it without vendor involvement?
Over the last quarter, how many vendor tickets did routine work generate?

If the honest answers to four or more of those questions involve waiting for someone outside your team, the platform's administration model is your constraint, and no feature comparison will change that.

That is typically the real reason teams move, and it is worth separating from feature dissatisfaction, because a platform with more features and the same administration model will not fix it.

Time to Value

Sprig deployments generally reach a first fielded study in days. The Design Agent produces a programmed study from an objective, in-product surveys deploy through an SDK, and email, link, and panel distribution require no separate vendor.

InMoment implementations vary widely with program scope. A single microsurvey deployment is quick. A multi-channel customer experience program spanning surveys, reviews, contact center feeds, and case management is a project measured in months, which is appropriate for what it produces.

Comparing those two numbers directly would be unfair. They are measuring different things, and the honest comparison is between two implementations of comparable scope.

Total Cost of Ownership

The visible cost is the contract. The costs that generally exceed it are elsewhere.

Total cost of ownership across a research program typically includes platform licensing, separate panel procurement, email delivery tooling, analysis software, professional services, internal administration headcount, and the opportunity cost of decisions delayed while waiting for evidence.

Sprig consolidates several of those into one platform, particularly panel access and email delivery, which are frequently separate line items elsewhere. It adds no services cost because it offers no services.

InMoment consolidates a different set, particularly reputation and contact center analytics that would otherwise be separate vendors entirely, and adds a services cost that is often substantial and sometimes essential.

Asymmetry matters more than symmetry here. For a research team with in-house capability, the services line is the load-bearing cost difference and it favors Sprig. For a customer experience program with no analyst headcount, the same line is the reason InMoment is cheaper in practice, because the alternative is hiring.

Questions Enterprise Buyers Should Ask

No pricing figures appear in this guide, and these questions are more useful than a number would be:

Are research panels included in the platform or purchased separately?
Is enterprise email delivery built in, or does it require a separate tool?
Are AI capabilities included, or priced as add-ons above a base tier?
Which routine changes require a services engagement, and what is the typical turnaround?
How many separate systems will researchers need to manage?
What does the contract cost look like in year three, after the initial services engagement ends?

The answers to those questions generally determine whether a platform delivers lasting value or simply satisfies a functional requirements list.

A Practical Migration Strategy

Organizations rarely replace a customer experience platform in one move, and for this pair a phased approach is usually correct rather than merely cautious.

Phase 1: Pilot. Run one research workload on the new platform while the existing program continues untouched. A single in-product study or a concept test is enough to establish whether the workflow suits the team.

Phase 2: Expansion. Move the research portfolio across, including studies that previously required a services request. This phase reveals whether the autonomy the platform promises is real for your team specifically.

Phase 3: Consolidation. Retire overlapping tools. Panel procurement and separate email delivery are the two most common savings, and both are contract-level decisions rather than technical ones.

Phase 4: Optimization. Standardize instruments for recurring measures, build the template library, and connect research to whatever agent or reporting layer the organization runs.

Notice what is absent from every phase. The reputation program and the contact center analytics stay where they are throughout, because nothing in the destination platform replaces them.

Administration Over Time

The cost of a platform is rarely visible in year one, when implementation attention is high and the vendor relationship is new.

It becomes visible in year three, when the original champion has moved on, the services engagement has ended, and the question is whether the remaining team can operate what was built.

Services-led implementations frequently produce sophisticated configurations that nobody internally fully understands, which is a real risk that buyers should weigh against the speed advantage of having someone else build it.

Self-serve implementations produce the opposite risk, which is inconsistency across teams that each configured things their own way. Template libraries and permissions are the mitigation, and they require someone to own them.

Implementation Verdict

Both platforms can be implemented successfully at enterprise scale, and they ask different things of the buying organization.

InMoment's services-led model delivers a designed program to organizations that could not build one alone, and that is a real and frequently decisive advantage.

Sprig's self-serve model delivers autonomy to teams that have the capability in-house, and removes the queue that services models introduce.

Organizations without research headcount will generally find InMoment's model the better fit despite its slower routine turnaround. Teams with researchers who want to change a study today will find that Sprig's administration model, not its feature list, is the difference that compounds.

Which Platform Is Right for Your Team?

Enterprise platforms are rarely chosen by one person, and the two products appeal to different functions for different reasons. This section describes what each team typically wants and which platform tends to deliver it.

Product Management

Why teams choose Sprig

Product managers need answers to specific questions on a decision timeline, and generally cannot wait for a quarterly program cycle. In-product surveys targeted on product events reach the exact users whose behavior prompted the question, and conjoint and MaxDiff support the trade-off decisions that packaging and prioritization require.

‍Why teams choose InMoment

Product managers inside organizations with an established customer experience program often inherit InMoment rather than choosing it, and get continuous satisfaction signal without maintaining anything themselves.

Customer Experience

Why teams choose InMoment

Customer experience leaders own a program rather than a study. They need omnichannel listening, case management, closed-loop recovery, benchmarking against industry norms, and reporting that spans every touchpoint. InMoment is built for exactly this, and it is the stronger platform for it.

‍Why teams choose Sprig

Customer experience teams occasionally need a designed study rather than a listening stream, typically when an executive asks how many customers a problem affects. Sprig answers that question with a defensible base.

Market Research and Insights

Why teams choose Sprig

Insights teams need methodological control, external participants, and evidence that survives scrutiny. Conjoint, MaxDiff, quotas, randomization, and a panel with 300+ targeting attributes cover the standard toolkit without separate vendors.

Why teams choose InMoment

Insights teams inside a Qualtrics-owned group can often reach deeper market research capability through sibling products, which is a genuine consideration after the acquisition.

User Research and UX

Why teams choose Sprig

User researchers need to observe behavior as well as collect opinion. Recorded task capture, asynchronous video and voice responses, and in-product targeting on real usage support that in a way a satisfaction platform does not.

Marketing

Why teams choose InMoment

Marketing teams at multi-location businesses care about reviews, ratings, listings accuracy, and local search performance. That is InMoment's territory and Sprig has nothing in it.

Why teams choose Sprig

Marketing teams running message testing, concept testing, and brand work need external audiences and trade-off methods, which Sprig provides directly.

Research Operations

Why teams choose Sprig

Research operations leads care about standardization, permissions, template libraries, participant management, and vendor consolidation. Consolidating panel procurement and email delivery into the research platform removes two vendor relationships.

Why teams choose InMoment

Research operations leads supporting a services-led program value a partner who handles configuration, and InMoment's advisory organization is designed for that relationship.

Contact Center Operations

Why teams choose InMoment

Contact center leaders need conversation analytics, automated quality scoring, agent scorecards, and in-channel assistance. Sprig offers none of this.

IT and Security

Security teams evaluate both platforms against certification requirements first. InMoment generally clears more of a conventional checklist, holding its own ISO 27001 certification and offering regional presence. Sprig publishes more detail on what AI agents may do with research data, which is a newer question appearing more frequently in reviews.

Executive Leadership

Executives want to know what customers think without reading a dashboard. Both platforms generate executive-level summaries, InMoment also provides benchmarked context against industry norms that Sprig does not offer.

Which Platform Fits Different Organizations?

Why Teams Switch to Sprig

Most organizations that evaluate both platforms are not choosing between them from a standing start. They already run one, and something specific has stopped working.

The triggers below are drawn from the comparisons above rather than from general dissatisfaction. Each describes an operating condition, not a feeling, and each is worth checking against your own program before treating this guide's verdicts as decisive.

Research That Has to Reach Users Inside the Product

A team asked to explain why a feature is underused needs to reach the people who used it, at the moment they used it, on the surface where it happened.

General satisfaction surveys reach whoever responds. In-product targeting on product events and user attributes reaches a defined group whose behavior prompted the question, which is typically the difference between a finding a product team can act on and one they argue about.

The Same Measure Repeated Every Quarter

Tracking studies require an instrument that stays identical, with the same wording, order, randomization, and sampling approach every run.

Continuous listening does not provide that, because the population changes with whoever chose to respond. Teams that need a comparable number quarter over quarter generally discover this the first time a movement in the score cannot be distinguished from a change in who answered.

A Pricing or Packaging Decision That Needs a Trade-Off Model

Conjoint and MaxDiff are not conveniences for this class of decision. They are the methods that produce the answer.

Teams frequently discover the gap late, having assumed a satisfaction platform would extend to pricing research, and then run the study in a spreadsheet or procure a specialist vendor for a single project.

A Program Where Every Change Requires a Vendor Ticket

The autonomy diagnostic earlier in this guide is the test. Teams typically move when the cumulative delay of routine requests exceeds the value of the expertise those requests buy.

That crossover point arrives sooner as a team builds its own research capability, which is why organizations frequently outgrow a services-led platform rather than rejecting it.

AI Governance That Procurement Now Asks About

Security reviews increasingly ask what an AI agent connected to a research platform can access, whether it can act, and who can revoke it.

Teams that have already connected research data to an AI assistant informally, through exports, often find that the governed alternative is easier to defend than the practice they are already running.

What Switching Does Not Solve

Moving to Sprig does not replace reputation management, listings, or local search, and it does not replace contact center or speech analytics. It does not provide a services organization to run the program for a team without analysts, and it does not deliver syndicated benchmarks.

It also does not resolve two things a security review may raise. Sprig publishes no regional data hosting option and holds no ISO 27001 certificate in its own name.

A team whose InMoment program is reputation-led or contact-center-led is not a Sprig buyer, and no amount of research capability changes that.

Decision Matrix

Migrating from InMoment to Sprig

Migration is rarely all or nothing, and for this pair it usually should not be.

Step 1: Audit Which Workloads Are Actually Research

Separate the program from the studies. Reputation, listings, contact center analytics, and closed-loop case management are program workloads. Concept tests, pricing research, onboarding studies, and feature feedback are research workloads. Only the second group is a candidate for this move, and teams that skip this step generally discover the distinction mid-migration.

Step 2: Keep Reputation and Contact Center Where They Are

Nothing in Sprig replaces review management or speech analytics. Plan to keep those on InMoment or another specialist platform, and treat the outcome as a deliberate two-vendor arrangement, not a failed consolidation.

Step 3: Consolidate Research Distribution and Recruitment

Move in-product, email, link, and QR distribution into one platform, and fold external participant recruitment in with it. Teams running a separate panel vendor typically remove a procurement cycle here, which is often the largest single time saving in the move.

Step 4: Plan for Historical Data and Benchmark Continuity

Export historical responses before contract end. Benchmarked comparisons against syndicated norms will not transfer, so decide early whether that reporting continues on InMoment or stops, and tell the executives who read it before the first report is missing.

Step 5: Enable Teams to Run Studies Without a Ticket

The change most teams underestimate is cultural. A team accustomed to requesting studies has to learn to run them, and adoption typically depends on the first two or three researchers who do it successfully, not on formal training.

Bottom Line

If your InMoment deployment is a customer experience program with research attached, migrate the research and keep the program. If it is a research workload that happens to sit on a customer experience platform, the whole thing can move, and the audit in step one is what tells you which situation you are in.

Final Recommendation

Choose Sprig if

Your research questions are specific and your decision timelines are short
You need to reach users inside the product or participants outside your customer base
Pricing, packaging, and prioritization decisions require trade-off methods
Your team has research capability and wants to use it without a services queue
You want research data reachable from AI tools under published governance

Choose InMoment if

You manage reputation, reviews, and listings across many locations
Contact center conversation analytics is part of your customer experience program
You need case management and closed-loop recovery as a core workflow
A services organization is doing work your team cannot staff
Data residency or your vendor's own ISO 27001 certificate is a procurement condition

The Bigger Decision

Buyers evaluating these two platforms frequently start from the wrong question.

Rather than asking which platform collects better feedback, ask whether you are trying to run a program or answer a question. Those are different jobs, and the platforms are honestly optimized for different ones.

The ownership change makes the question more urgent without changing the answer. InMoment inside Qualtrics is the same product it was in April 2026, and the argument that it was the independent alternative to Qualtrics no longer holds. For organizations that chose it on those grounds, the renewal is a genuine decision rather than a formality.

Bottom Line

If your organization runs an always-on customer experience program spanning locations, channels, and a contact center, InMoment does work that Sprig does not attempt, and this guide's honest recommendation is that you keep it.

If your organization needs defensible answers to specific research questions, delivered on the timeline the decision actually runs on, Sprig covers more of that work in one platform. Many organizations discover the accurate answer is both, with the program staying where it is and the research moving to a platform built for it.

The Bigger Strategic Question

Platform comparisons tend to end on features, and the decision in front of most readers of this guide is not primarily a feature decision.

It is a question about what your organization is trying to become good at.

An organization investing in customer experience operations is building a capability to hear continuously and respond quickly. That capability is measured in coverage, response time, and resolution, and InMoment is built to support it.

An organization investing in research capability is building something else. It is building the ability to answer questions it has not asked yet, with evidence that survives challenge, on a timeline that matches how fast decisions get made.

Those capabilities are complementary and they are frequently owned by different people, funded from different budgets, and measured on different outcomes.

The consolidation instinct treats them as one problem with one vendor answer. Most organizations that try it discover they have optimized for the capability they measured and quietly degraded the other one.

The more useful question is which capability is currently your constraint. If customers are telling you things and nobody is acting on them, the constraint is operational. If decisions are being made without evidence because evidence takes too long, the constraint is research.

Buy for the constraint you actually have.

Frequently Asked Questions

Is Sprig a good alternative to InMoment?

For research workloads, yes. Sprig covers study design, in-product and email distribution, external participant recruitment, trade-off methods, and AI-assisted analysis in one platform. For reputation management, listings, or contact center analytics, Sprig is not an alternative at all, because it does not offer those capabilities. The honest answer depends on which part of your InMoment deployment you are replacing, and many organizations replace only the research portion.

Who owns InMoment now?

Qualtrics. Press Ganey Forsta announced its acquisition of InMoment in May 2025, and Qualtrics completed its acquisition of Press Ganey Forsta on May 18, 2026. InMoment therefore sits inside the Qualtrics group alongside Forsta, Confirmit, Decipher, FocusVision, Dapresy, ReviewTrackers, and Rio SEO.

Is InMoment part of Qualtrics?

Yes. InMoment became part of Qualtrics through the Press Ganey Forsta acquisition that closed on May 18, 2026. Gartner now lists the combined vendor as Press Ganey Forsta (InMoment) in its 2026 Magic Quadrant for Voice of the Customer Platforms. InMoment continues to operate under its own brand and website, and no consolidation plan has been published.

What does the Qualtrics acquisition mean for my InMoment contract?

Nothing changes automatically, and your existing agreement continues on its terms. What changes is your negotiating position and your roadmap risk. Organizations running both InMoment and another Qualtrics-owned product now depend on a single owner for both. Forrester's analysis following the close advised InMoment clients to begin developing an RFP requirements list, which is a reasonable precaution, not a prediction of disruption.

Will the InMoment brand continue?

Neither Qualtrics nor Press Ganey has published a brand or product plan, so this cannot be answered with confidence. The brand is currently live, with an active website and its own product documentation. Sibling brands in the group have begun carrying Press Ganey and Forsta identifiers, which some observers read as a direction of travel. Buyers who need certainty should request written commitments during renewal.

Does InMoment support in-product surveys?

Yes. InMoment delivers microsurveys inside websites and applications, and publishes a Mobile Survey SDK for deployment inside native mobile apps. Surveys trigger on events and customer attributes. The capability descends in part from InMoment's Wootric acquisition, which brought its digital microsurvey line for Net Promoter Score, customer satisfaction, and customer effort measurement.

Does InMoment have a mobile SDK?

Yes. InMoment publishes a Mobile Survey SDK for deploying surveys inside native mobile applications. Sprig also supports native mobile through SDKs covering iOS, Android, React Native, and Flutter. Both platforms therefore reach users inside mobile apps, and the practical difference lies in targeting model rather than availability.

Does InMoment support conjoint analysis or MaxDiff?

Not as documented capabilities of the XI Platform. InMoment's glossary defines advanced market research as a discipline that uses conjoint analysis and MaxDiff, which is a description of the field rather than a product claim, and neither appears as a question type in its published product documentation. Sibling products inside the Qualtrics group do offer these methods, so buyers with a group relationship should ask what is available to them.

Does Sprig support conjoint analysis or MaxDiff?

Yes. Both ship as first-party question types configured inside the survey builder, alongside rank order, matrix, and the other standard types. Sprig does not offer TURF or Gabor-Granger, and delivers Van Westendorp as a survey template rather than a built-in analysis engine. Sprig also does not publish its estimation methodology for MaxDiff, which researchers defending results to a methodologist should request directly.

Which platform has better AI capabilities?

They are strong in different places. InMoment's Active Listening probes respondents in real time and its analytics apply to reviews, transcripts, and audio that Sprig cannot process at all. Sprig's agents span study design, fielding, and synthesis, generating a fully programmed study and checking it before launch. If your AI need is making sense of unstructured feedback at volume, InMoment leads. If it is getting studies designed and analyzed faster, Sprig does.

What is the difference between Active Listening and an AI research agent?

Active Listening improves the quality of an individual response by asking a relevant follow-up in the moment. A research agent participates in the study itself, generating the instrument, checking its logic, managing fielding, and synthesizing results. The distinction that matters is accountability. Active Listening produces a better verbatim from whoever responded. It does not establish a base, apply quotas, or make the instrument repeatable.

Does Sprig do reputation or review management?

No. Sprig has no review capture, ratings management, listings management, local search capability, or response generation. Organizations using InMoment for multi-location reputation programs have no equivalent in Sprig and should keep that workload where it is. This is one of two categories where InMoment wins outright in this comparison.

Does Sprig have contact center or speech analytics?

No. Sprig has no voice channel, no call transcription, no speech analytics, and no agent quality workflow. Sprig does collect asynchronous video and voice responses inside studies, and captures screen and audio during recorded prototype tasks, but those are research instruments for observing participants rather than a substitute for contact center analytics.

Which platform is better for product teams?

Sprig, in most cases. Product teams need answers on decision timelines, in-product targeting on real usage, and trade-off methods for packaging and prioritization decisions. InMoment's strengths are program-level and generally serve a customer experience function rather than a product one. Product managers who inherited InMoment as part of an existing program often find it answers directional questions well and specific ones poorly.

Which platform is better for customer experience teams?

InMoment, in most cases. Customer experience teams own continuous programs requiring omnichannel listening, case management, closed-loop recovery, and benchmarking, and InMoment is built for exactly that. Customer experience teams occasionally need a designed study with a defensible base, typically when asked how many customers a problem affects, and that is the question Sprig answers better.

How long does an InMoment implementation take?

It varies with program scope, and InMoment does not publish a standard timeline. A single microsurvey deployment is quick. A multi-channel program spanning surveys, reviews, contact center feeds, and case management is generally a project measured in months, reflecting the services-led model and the breadth of what is being configured. Buyers should ask for a timeline specific to their scope instead of a general figure.

How quickly can a team launch a study in Sprig?

Typically days. The Design Agent generates a programmed study from an uploaded objective document with logic and randomization already in place, in-product surveys deploy through an SDK, and email, link, and panel distribution require no separate vendor procurement. The constraint is usually internal review, not platform configuration.

Can I migrate from InMoment to Sprig?

The research portion of an InMoment deployment can migrate. Reputation, listings, and contact center analytics cannot, because Sprig does not offer them. Most migrations in this pair are partial by design, moving studies and in-product research while the customer experience program stays in place. Start by auditing which of your workloads are research and which are program operations.

What happens to my historical InMoment data?

Export it before your contract ends. Response data can generally be exported, and teams should confirm formats and retention terms with InMoment directly. Two things do not transfer. Benchmarked comparisons against syndicated industry norms end with the platform, and text analytics models trained on your historical corpus do not move. Decide early whether benchmark reporting continues elsewhere or stops.

How do the two platforms compare on enterprise security?

InMoment publishes more. It holds ISO 27001 certification in its own name alongside SOC 2, serves regulated industries including healthcare and financial services, and operates regionally. Sprig publishes SOC 2 Type II, HIPAA, GDPR, CCPA, and the Data Privacy Framework, cites its cloud provider's ISO 27001 rather than its own, offers no SCIM provisioning, and hosts only in the United States. Sprig publishes more detail on AI agent access controls.

Does either platform support SMS surveys?

InMoment does. Sprig does not. Sprig publishes six distribution channels covering in-product web and mobile, email with a custom sending domain, shareable links, QR codes, and external panels, and SMS is not among them. Organizations whose customers expect text communication, which commonly includes financial services, travel, and telecoms, should treat this as a genuine gap.

Which platform should my organization choose?

There is no single best enterprise survey platform, and the right choice depends on what your organization is trying to produce. If you run an always-on customer experience program across locations, channels, and a contact center, InMoment does work Sprig does not attempt, and staying is frequently the correct decision. If you need defensible answers to specific research questions on a decision timeline, with trade-off methods and access to participants beyond your customer base, Sprig covers more of that work in one platform. Many organizations conclude the accurate answer is both, keeping the program where it is and moving the research to a platform designed for it.