Introduction
Tally is a free form builder and is generally the better choice for collecting structured input from people you already reach, such as signups, applications, and intake forms. Sprig is an enterprise survey platform powered by AI agents, and it is generally the better choice when research must reach people outside your own list, target users by product behavior, apply methods such as conjoint analysis, and pass a security review. Teams that outgrow Tally usually need reach beyond their own list, proof that holds up under review, or features a form builder does not include, such as in-product delivery and quotas.
Last updated October 2026.
Sprig vs. Tally at a Glance
Sprig is built for defensible research, and Tally is built for fast forms. The table compares the two on the criteria buyers weigh most.
| Category | Sprig | Tally |
|---|
| Product category | Enterprise survey platform powered by AI agents | Form builder for online forms and short surveys |
| Primary job | Designing studies that produce defensible evidence | Collecting structured input quickly and cheaply |
| Typical buyer | Research, product, marketing, and customer experience teams | Founders, operators, marketers, and individual creators |
| Study design | Design Agent drafts questions, logic, and methodology | Manual authoring in a document-style editor |
| Question logic | Conditional logic, quotas, piping, randomization, loop and merge | Conditional logic, calculations, answer piping, randomization |
| Distribution | Link, email, web, mobile, panels | Link, embed, popup |
| In-product surveys | Web, iOS, Android, React Native, Flutter | Not published |
| Participant recruitment | Native User Interviews integration and panel access | Bring your own audience |
| Advanced research methods | Conjoint, MaxDiff, response-based quotas | Not published |
| Open-ended analysis | Synthesize Agent performs thematic analysis and segment comparison | Analysis through connected AI clients |
| Model Context Protocol support | First-party server with role-scoped access | First-party server, free on all plans |
| Behavioral context | Session replay clips around a response, up to five minutes on either side | Not published |
| Response quality controls | Invisible bot detection and response scoring | reCAPTCHA, duplicate prevention, email verification |
| Security certifications | SOC 2 Type II, HIPAA, GDPR and CCPA | Encryption in transit and at rest, data stored in Europe, no published certifications |
| Access management | Enterprise role-based access control and single sign-on (SSO) | Workspaces, folders, and team members |
| Third-party rating | 4.3 out of 5 on G2 across 199 reviews, August 2026 | 4.9 out of 5 on G2 across 141 reviews, August 2026 |
| Time to first form | Typically minutes for a link study, longer for in-product deployment | Typically minutes |
| Entry cost | Free plan with limited responses | Free plan with unlimited forms and submissions within fair usage guidelines |
Which Platform Should You Choose?
Choose Tally for forms you can send to a list you already own. Choose Sprig when the answer has to hold up outside your team. The enterprise survey software buyers guide goes deeper on evaluating these platforms.
Choose Sprig if
Sprig is generally the stronger choice for teams whose research has to answer to someone.
That includes product managers who need survey responses from users who took a specific action inside the product, market researchers who need respondents outside the customer list, and customer experience teams running continuous measurement across a journey rather than a one-time survey.
Sprig typically fits when the study requires methodology as much as questions. Conjoint analysis, MaxDiff, and quota-controlled sampling are the difference between a number you report and a number you defend.
Sprig also fits when research is spreading across an organization.
Governance, role-based permissions, single sign-on (SSO), audit controls, and SOC 2 Type II compliance become requirements the moment a security review enters the process, and they typically arrive earlier than teams expect.
The clearest signal is reach. If the people you need to hear from are not already on a list you own, a form builder cannot solve that problem, because reaching them is not a form problem.
Choose Tally if
Tally is generally the stronger choice for teams collecting structured input from an audience they already have.
Signup forms, applications, event registrations, order intake, and short surveys sent to an existing list are exactly what Tally is built for, and it typically does them with less setup than almost anything else.
Tally also commonly fits when the form is not research at all. Payment collection, signature capture, and lead capture sit outside what a survey platform does, and Sprig does not publish them.
Tally fits teams operating without a research budget. Unlimited forms and unlimited submissions on the free plan is not a trial limitation, and no enterprise survey platform matches that entry point.
Tally fits European teams with a data residency requirement and no certification requirement.
Tally stores form data in Europe and encrypts it in transit and at rest, which answers a real question for some buyers before any certification discussion begins.
Comparison Methodology
This comparison draws on primary sources. Tally capability claims come from Tally's own features page, help documentation, developer documentation, and General Data Protection Regulation (GDPR) page, all retrieved on August 17, 2026. Sprig capability claims come from Sprig's published product documentation and integration documentation.
Third-party ratings are reported with their review counts and retrieval dates. Tally holds 4.9 out of 5 on G2 across 141 reviews and 4.9 out of 5 on Capterra across 41 reviews, both retrieved August 17, 2026.
Sprig holds 4.3 out of 5 on G2 across 199 reviews, retrieved the same day. The two review corpora differ in size and in what reviewers are evaluating, and neither score is offered here as evidence of capability.
Where a capability could not be verified from a vendor's own published material, this guide says so instead of inferring it. Absence of published documentation is reported as absence of documentation, not as absence of the capability.
No prices appear in this guide. Both vendors change packaging, and a comparison that depends on a price is stale the week it publishes.
What You'll Learn
- The difference between a form and a study
- Where Tally is genuinely the better tool
- What breaks when research runs on a form builder
- How the two platforms handle open-ended responses
- What migration actually involves
What Sprig and Tally Are Built to Do
Two products can commonly share a question type and still be built for different jobs. Both Sprig and Tally let you ask a multiple-choice question, apply conditional logic, and collect the answers, but the products diverge almost everywhere else.
Tally Overview
Tally is a form builder from a small company based in Belgium, and its design ideas are unusually consistent. Its central design idea is that building a form should feel like typing a document, and that idea is executed unusually well.
Tally's commercial model is the second design idea. Unlimited forms and unlimited submissions are free, and the paid tiers add branding removal, custom domains, team workspaces, and analytics rather than gating the core.
Tally's free plan includes capabilities that competitors commonly charge for: conditional logic, calculations and formulas, hidden fields, answer piping, signature capture, payment collection, file uploads, and application programming interface (API) access.
Where Tally Works Well as a Survey Tool
Tally is a good survey tool when the audience is already reachable and the method is simple. A satisfaction survey sent to a customer list, a post-event survey, or a short preference question with a clearly defined population will produce usable results in Tally at no cost.
Tally becomes the wrong tool when a study needs quota control, respondents from outside your own list, or a method such as conjoint analysis, because Tally does not publish those capabilities.
For a side-by-side look at another form builder, see Sprig vs. Typeform.
What Tally Does Not Publish
Tally does not publish in-product surveys inside web or mobile applications, behavioral event targeting, quota control, panel recruitment, conjoint analysis, MaxDiff, longitudinal repeat runs, single sign-on (SSO), or SOC 2 certification. Tally also does not translate creator-written question text.
These are scope boundaries instead of defects. Tally has never presented itself as a research platform, and the boundary is where the product stops rather than where it fails.
Sprig Overview
Sprig is an enterprise survey platform powered by AI agents. It supports customer research, market research, and in-product research from one study architecture rather than separate tools per channel.
Four specialized agents run across the research lifecycle. The Design Agent programs the study before fielding, the Field Agent delivers it conversationally and asks follow-up questions in real time, the Synthesize Agent builds an evidence-backed report as responses arrive, and the Analyze Agent runs statistical analysis on the finished data.
Sprig studies deploy across links, email, web applications, mobile applications, and research panels, and every entry point feeds the same dataset.
For how Sprig compares with a broader enterprise survey suite, see Sprig vs. SurveyMonkey.
A Different Definition of Speed
Both products are fast, but they are fast at different things.
Tally is fast to a published form. A person with no training can typically have a working form live in a few minutes, and that speed is real.
Sprig is designed to be fast to an answer.
Time to insight measures how long it takes to move from a research question to a decision supported by reliable evidence, and drafting the questions is often the smallest part of that.
For a signup form those two speeds are the same number. For a pricing study they are not close.
From Point Solutions to Research Programs
Historically, teams assembled research from point solutions.
Design the survey in a form builder, buy respondents from a panel provider, send customer surveys through an email marketing tool, export the results, and rebuild the analysis by hand in a spreadsheet.
Modern research platforms collapse that chain. The value is not that any single step is faster, it is that the handoffs disappear.
Tally sits deliberately at one link in that chain and integrates outward through Zapier, Make, n8n, webhooks, Airtable, Google Sheets, and Notion. That is a coherent strategy and it generally works well for workflow automation.
Rather than connecting point solutions, Sprig consolidates the chain into a single platform where design, fielding, and analysis operate on the same study.
The Form or Research Diagnostic
This is the fastest way to tell which tool a given project needs. Answer these seven questions about the project in front of you.
- Do you need responses from people who are not already on a list you control?
- Does the sample need to reflect a population instead of whoever replied?
- Do you need to control how many responses come from each segment?
- Does the question require a method such as conjoint analysis, MaxDiff, or price sensitivity testing?
- Do you need to ask people at a specific moment inside your product?
- Will someone outside your team challenge the conclusion?
- Does this study need to run repeatedly and be comparable over time?
A single yes to any of those seven questions generally means the project needs a research platform. Seven noes means Tally will do the job, and paying for more tool than the job requires is its own kind of mistake.
Form and Survey Creation: How Sprig and Tally Compare
Survey creation is typically where buyers form their first impression, and it is the dimension where Tally is strongest.
The authoring experience often determines who in an organization can create a study without help, which in turn determines how much research actually gets done.
Survey Creation at a Glance
| Category | Sprig | Tally |
|---|
| Authoring model | Study builder with agent-assisted drafting | Document-style editor |
| Learning curve | Moderate | Minimal |
| Conditional logic | Excellent | Good |
| Calculations and scoring | Good | Excellent |
| Question types | Excellent | Good |
| Methodology guidance | Excellent | Not published |
| Templates and importing | Good | Excellent |
| Default text localization | Good | Excellent |
| Visual customization | Good | Excellent |
Tally's Document-Style Editor
Tally's editor works like a text document. You type a question, press a key, and the input type appears inline, which removes the field-configuration step that most form builders require.
The effect on adoption is real. Reviewers on G2 and Capterra consistently rate the experience highly, and Capterra's feature sub-score sits at 4.8 out of 5 across 41 reviews as of August 2026.
Input Types and Layout
Tally supports contact information fields, ratings and rankings, date and time, signatures, file uploads, payment collection, multi-page forms, column layouts, embedded media, and text formatting.
Logic and Calculation
Tally supports conditional logic, calculator formulas, hidden fields, answer piping, pre-populated fields, answer randomization, and redirect on completion.
Calculation is a genuine strength, and quiz-style or scoring forms are frequently easier to build in Tally than in a survey platform.
Languages and Reuse
Tally translates default form text into more than 50 languages and supports right-to-left text. Those translations cover text a creator cannot edit, such as error messages and the default thank-you page.
Tally does not publish multilingual forms that translate creator-written question text, and routes that use case to a third-party translation service. Sprig publishes AI translations.
Sprig's Agent-Assisted Study Design
Sprig approaches creation from the methodology end rather than the field end. The Design Agent clarifies the research objective, recommends a methodology, drafts questions, and flags wording that introduces bias.
Rather than replacing methodological expertise, the Design Agent assists with drafting and structure while researchers remain responsible for validating the final approach.
Adaptive Study Architecture
Sprig studies support quotas, embedded data, variable piping, loop and merge, survey retakes, longitudinal runs, and dynamic uniform resource locators (URLs) that carry participant attributes into question logic.
Question Coverage for Research
Sprig supports 14 documented question types, including matrix, rank order, conjoint, MaxDiff, Net Promoter Score (NPS), video and voice responses, and Recorded Task, which captures screen, voice, and video while someone works through a prototype.
Where the Editors Actually Differ
The difference is not ease of use. Both editors are easy.
The difference is what the editor knows. Tally's editor knows about fields, and Sprig's study builder knows about research design, which matters only when the study has a methodology to get wrong.
For a workshop signup form that knowledge is overhead. For a pricing study it is the entire point.
Which Platform Is Better for Form and Survey Creation?
Winner: Tally
Both Sprig and Tally let a non-specialist build and publish something quickly, and neither requires technical skill.
Tally is typically faster to a finished form, easier for someone who has never built a survey, and stronger on visual customization, calculations, and multi-language support.
Sprig's study builder carries methodology guidance that Tally does not attempt, but that guidance is only valuable when the project has methodology in it.
Tally wins this dimension outright, and a guide that claimed otherwise would be describing a different product.
AI Capabilities: How Sprig and Tally Compare
AI has changed what buyers expect from a survey tool more than any other factor in the past two years.
The useful question is not whether a product has AI features, it is which parts of the research lifecycle those features actually touch.
AI Capabilities at a Glance
| Category | Sprig | Tally |
|---|
| Study design assistance | Excellent | Limited |
| Question drafting | Excellent | Limited |
| Bias detection in wording | Good | Not published |
| Methodology recommendation | Excellent | Not published |
| Adaptive fielding | Good | Not published |
| Open-ended thematic analysis | Excellent | Moderate |
| Segment comparison | Good | Moderate |
| Analysis inside external AI clients | Excellent | Excellent |
Sprig's Four Research Agents
Sprig applies AI across the research lifecycle instead of at a single step.
The Design Agent works before fielding. It generates a fully programmed study with response options, logic, and randomization already in place, detects broken or conflicting logic, flags unclear questions, and estimates completion time.
The Field Agent works during fielding. It delivers studies conversationally and generates follow-up questions in real time based on what a respondent says. Follow-ups can be disabled per study, and targeting and quota rules stay set by the researcher.
The Synthesize Agent works as responses arrive. It builds an evidence-backed report with themes, summaries, and supporting quotes drawn from the responses behind each theme.
The Analyze Agent works once responses are in. It recommends analyses based on the survey's structure and study context, removes low-quality responses, and runs crosstabs, t-tests, ANOVA, correlation, and Van Westendorp price sensitivity analysis.
What Agent-Assisted Analysis Produces
Rather than returning a word cloud, thematic analysis returns findings a team can act on.
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, and mobile onboarding satisfaction exceeded desktop.
Tally's Approach to AI
Tally does not publish native AI features for drafting questions, recommending methodology, or analyzing responses inside the product.
Tally's strategy is different and defensible: rather than building analysis into the product, Tally exposes forms and submissions to AI clients through a first-party Model Context Protocol (MCP) server and lets those clients do the work.
That approach has a real advantage. The analysis quality tracks whatever model the user brings, and it improves without Tally shipping anything.
Tally's approach also has a limit. AI that only operates after collection cannot improve the question wording, cannot recommend a methodology, and cannot manage quotas while a study is in the field.
The Limits of AI in Research
AI has accelerated survey creation and analysis, but it has not replaced research fundamentals.
An agent that drafts a question cannot tell you whether the 400 people who answered it resemble the market. Sprig does not publish weighting, sample size guidance, or significance testing, and a researcher still owns those judgments.
Rather than automating research judgment, both approaches move labor. Tally moves it to the client after collection, and Sprig moves it earlier, to the point where the study is being designed.
Which Platform Has Stronger AI Capabilities?
Winner: Sprig
Both Sprig and Tally give users a path to AI-assisted analysis of collected responses, and Tally's path costs nothing on any plan.
Sprig applies AI earlier in the research lifecycle, where methodology recommendation, bias reduction in question wording, and quota management during fielding change what the data can support.
Tally is well suited for teams whose AI needs begin after the responses arrive and who already work inside Claude or ChatGPT.
Teams that want help designing the study rather than only reading it will find that Tally does not publish that capability.
AI Client Access and the Model Context Protocol
This dimension deserves its own section because the result is counterintuitive. Model Context Protocol (MCP) support is a checkable capability that most enterprise survey vendors do not have, and a free form builder has it.
AI Client Access at a Glance
| Category | Sprig | Tally |
|---|
| First-party Model Context Protocol server | Yes | Yes |
| Claude support | Yes | Yes |
| ChatGPT support | Yes | Yes |
| Gemini support | Documented connection path | Not named individually |
| Copilot support | Documented connection path | Not named individually |
| Cursor support | Yes | Yes |
| Create studies through an AI client | Yes | Yes |
| Read responses through an AI client | Yes | Yes |
| Plan requirement | Available to connect through Sprig integrations | Free on all plans |
What Tally's Model Context Protocol Server Does
Tally publishes a first-party Model Context Protocol server that lets an AI client create forms from a plain-language description, edit existing forms, browse workspaces, and fetch and analyze submissions.
Tally documents support for Claude, ChatGPT, Cursor, Windsurf, Zed, Cline, and Continue, and states that the server is free to use on all plans.
Tally also documents a deliberate constraint: the assistant cannot delete forms or submissions, and submission data is only retrieved when explicitly requested.
What Sprig's Model Context Protocol Server Does
Sprig publishes a first-party Model Context Protocol server that connects live studies, responses, and user themes to AI clients through an authorization flow.
Sprig documents connection paths for Claude, ChatGPT, Gemini, Copilot, and Cursor. Tally names Claude, ChatGPT, Cursor, Windsurf, Zed, Cline, and Continue, and states that any compatible client works, so neither list should be read as a limit.
The practical difference is what sits behind the connection. A Sprig query reaches quota-controlled studies with panel and in-product responses in one dataset, and a Tally query reaches form submissions.
Governance on the Connection
Sprig publishes a data governance model for its Model Context Protocol server. Access is scoped to the authenticated user's role, retrieval is capped at 1,000 responses per call, response data is not used to train models, and an organization-wide administrator kill switch is available.
Agents cannot launch or modify a live study. A person approves every study in the application, which is the guardrail that makes agent access acceptable to a security reviewer.
Why This Matters More Than It Looks
First-party Model Context Protocol support is rarer among enterprise survey vendors than buyers assume. Several established platforms in this category do not publish one at all.
Rather than treating this as a differentiator to claim, the honest reading is that Tally shipped a capability much of the enterprise category has not, and it shipped it free.
Which Platform Connects Better to AI Clients?
Winner: Tie
Both Sprig and Tally publish first-party Model Context Protocol servers that let an AI client create and read data without an export step, and both cover the two clients most teams use.
Sprig scopes access to the authenticated user's role, caps retrieval at 1,000 responses per call, and requires a person to approve any study before it launches. Tally makes its server free on every plan and blocks deletion of forms and submissions.
Neither approach is inherently better for this dimension. The difference that matters is not the connection, it is what the connected dataset contains.
Survey Distribution and Participant Recruitment: How Sprig and Tally Compare
Distribution is typically the dimension where the gap between the two products is widest, and it is frequently the one that ends the evaluation. A study can only tell you about the people it reached.
Distribution and Recruitment at a Glance
| Category | Sprig | Tally |
|---|
| Shareable links | ✅ Yes | ✅ Yes |
| Website embed | ✅ Yes | ✅ Yes |
| Popup on a website | ✅ Yes | ✅ Yes |
| Email delivery | ✅ Native email campaigns and CRM workflows | Sharing a form link by email |
| QR codes | ✅ Yes | Through a link |
| In-product surveys on web | ✅ Yes | Not published |
| In-product surveys on mobile | ✅ iOS, Android, React Native, Flutter | Not published |
| Behavioral event targeting | ✅ Yes | Not published |
| User attribute targeting | ✅ Yes | Hidden fields and pre-populated fields |
| Quota management | ✅ Yes | Closing a form at a submission limit |
| Panel recruitment | ✅ Native User Interviews integration | Not published |
| Bot and quality screening | ✅ Invisible bot detection and response scoring | reCAPTCHA and duplicate prevention |
Tally's Distribution Model
Tally distributes forms the way most form builders do, and it does it cleanly. A form gets a link, an embed code, and a popup, and the link works anywhere a link works.
Tally supports pre-populated fields and hidden fields, so a link can carry information about the person clicking it. That covers a useful class of personalization without any integration work.
What Tally's Model Assumes
Tally's distribution model assumes you already have the audience. The form is ready, and getting people to it is your job.
For an existing customer list, a newsletter, or a community, that assumption generally holds fine and adds no cost.
Sprig's Distribution Model
Sprig treats distribution as part of the study rather than as a step after it. Email campaigns, CRM workflows, panel recruiting, QR codes, direct links, and in-product delivery all connect to the same study and produce one dataset.
In-Product Delivery
Sprig deploys studies inside web applications and mobile applications through lightweight software development kits (SDKs) supporting web, iOS, Android, React Native, and Flutter.
Engineers install Sprig once. After that, research teams can create studies and adjust targeting without new deployments or engineering time.
Behavioral Targeting
Sprig connects to user attributes and behavioral events, so a study can trigger after a specific action, during onboarding, or at a moment of friction.
This is the capability that has no equivalent in a form builder. Asking the right person at the right moment is a targeting problem, not a form problem.
Reaching People Outside Your List
Sprig supports recruitment beyond an existing user base through a native User Interviews integration, secure study links that work with any panel provider, and centralized screening and quota management.
Panel and customer responses enter the same study and are analyzed together, which removes the reconciliation step that separate tools create.
Response Integrity
External distribution increases exposure to bots and low-quality responses. Every Sprig study includes invisible bot detection, and each response is scored on behavioral and response patterns so teams can filter below a chosen threshold.
Tally addresses a narrower version of the same problem through reCAPTCHA, duplicate submission prevention, and email verification on its Business tier.
Worked Example: The Same NPS Study on Both Platforms
Consider a common request. Leadership wants a Net Promoter Score (NPS) reading on a new onboarding flow, and they want to know whether it differs by plan tier.
On Tally, the workflow is: build the Net Promoter Score question, generate a link, export the customer list from the billing system, segment it by plan tier in a spreadsheet, send the link through an email tool, wait, export submissions, and join the responses back to plan tier by email address in the spreadsheet.
On Sprig, the workflow is: build the study, target users who completed onboarding in the last seven days, pass plan tier as a user attribute so it arrives with the response, and read the result segmented by tier without a join.
Both produce a number.
The Tally version repeats the export, segment, send, export, and join sequence on every run and breaks when a customer changes email address.
The Sprig version is repeatable because the segmentation lives in the study rather than in a spreadsheet.
The difference compounds with frequency. A one-time reading generally favors whichever tool is already open, and a quarterly tracker favors the one that does not need reassembling each time.
Which Platform Reaches More Respondents?
Winner: Sprig
Both Sprig and Tally publish forms to a link, an embed, and a popup, and for reaching an audience you already own those three channels are frequently sufficient.
Sprig adds native email delivery, in-product surveys on web and mobile, behavioral event targeting, quota management, and panel recruitment, which are the capabilities that determine who a study can reach rather than how it looks.
Tally is well suited for organizations whose respondents are already reachable through an existing list or channel.
Teams that need responses from people outside an existing list will find that Tally does not publish recruitment, and no amount of form quality substitutes for it.
Advanced Research Methods and Integrations: How Sprig and Tally Compare
These two dimensions commonly belong together in this comparison because they point in opposite directions. Sprig invests in research methodology, and Tally invests in workflow connectivity.
Research Methods and Integrations at a Glance
| Category | Sprig | Tally |
|---|
| Conjoint analysis | ✅ Yes | Not published |
| MaxDiff | ✅ Yes | Not published |
| Response-based quotas | ✅ Yes | Closing a form at a submission limit |
| Randomization at option, question, and page level | ✅ Yes | Answer option randomization |
| Matrix and rank order questions | ✅ Yes | Rating and ranking questions |
| Longitudinal and repeat studies | ✅ Yes | Not published |
| Workflow automation connectors | ✅ Zapier and webhooks | ✅ Zapier, Make, n8n, Pipedream, Integrately, IFTTT, webhooks |
| Spreadsheet and database destinations | ✅ Through connectors | ✅ Google Sheets, Airtable, Notion, Coda |
| Product analytics integrations | ✅ Mixpanel, Amplitude | Not published |
| Customer data platform integrations | ✅ Segment, RudderStack | Not published |
| Design and prototype integrations | ✅ Figma | Not published |
| Research repository integrations | ✅ Dovetail, Notion | ✅ Notion |
| Application programming interface access | ✅ Yes | ✅ Yes |
Named Methods and When They Matter
Advanced methods are not a feature checklist. Each one answers a question that a rating scale answers badly.
Conjoint analysis estimates how buyers trade off combinations of attributes, which is how you learn what a feature is worth relative to price instead of whether people like it.
MaxDiff, formally Maximum Difference Scaling, measures relative preference among individual items and separates a crowded list in a way that rating every item on a five-point scale does not.
Response-based quotas control how many answers arrive from each segment, which is what lets a result be generalized to a population instead of to whoever replied.
Sprig supports conjoint analysis and MaxDiff as first-party question types. Tally does not publish either method, and building them by hand in a form builder typically produces a survey that looks right and analyzes wrong.
Where Tally Is Genuinely Stronger
Tally's integration surface for workflow automation is broader than Sprig's, and this is not a close call.
Tally connects natively to Zapier, Make, n8n, Pipedream, Integrately, IFTTT, and webhooks, plus Google Sheets, Airtable, Notion, Coda, Slack, Linear, and Discord. Several of those connectors are available on the free plan.
For a team whose requirement is that a submission should create a task, update a database row, and post to a channel, Tally is the better tool and it costs nothing.
Where Sprig's Integrations Point
Sprig's integrations are aimed at research context rather than task automation. Segment and RudderStack bring user event and attribute data in so studies can target precisely.
Mixpanel and Amplitude connect survey responses to product analytics, which is how a team learns why a metric moved and not only that it moved.
Figma supports prototype testing, and Dovetail and Notion centralize findings in a research repository.
Which Platform Is Better for Advanced Research Methods?
Winner: Sprig
Both Sprig and Tally can put a rating scale or a ranking question in front of a respondent, and for many questions that is the correct instrument.
Sprig leads decisively on research methodology, since conjoint analysis, MaxDiff, and quota-controlled sampling are not capabilities a form builder can approximate. Sprig does not publish weighting, sample size guidance, statistical power, or significance testing, and it does not publish its MaxDiff estimation methodology, so buyers who need those should ask for them by name.
Tally is well suited for studies where the method is a direct question and the population is already defined. Teams running tradeoff or pricing research will find that Tally does not publish the instruments those studies require.
Which Platform Integrates Better?
Winner: Tally
Both Sprig and Tally publish an application programming interface and connect outward to the tools teams already use, and both integration surfaces are broad enough that neither is a reason to rule a product out.
Tally wins this dimension outright. Its connector list is broader, it covers the automation platforms teams actually run, and several of those connectors are available on the free plan.
Sprig's integration surface is narrower and pointed at a different job, connecting product analytics, customer data platforms, and research repositories so studies can target precisely and findings can be stored where the organization keeps them.
Analysis and Reporting: How Sprig and Tally Compare
Collecting responses is generally the easy half. What separates a survey tool from a research platform is what happens between the last response and the decision.
Analysis and Reporting at a Glance
| Category | Sprig | Tally |
|---|
| Response summary views | ✅ Yes | ✅ Yes |
| Form and study visit analytics | ✅ Yes | ✅ Yes |
| Drop-off analytics | ✅ Yes | ✅ Yes, on paid tiers |
| Partial submissions captured | ✅ Yes | ✅ Yes, on paid tiers |
| Export to spreadsheet | ✅ Yes | ✅ Yes |
| Thematic analysis of open text | ✅ Synthesize Agent | Through connected AI clients |
| Segment comparison | ✅ Yes | Manual, after export |
| Cross-study comparison | ✅ Yes | Not published |
| Session replay around a response | ✅ Up to five minutes on either side | Not published |
What Tally Reports
Tally provides form visit analytics on every plan, and adds drop-off analytics, partial submissions, Google Analytics, and Meta Pixel on its paid tiers.
Tally also supports exporting submissions to a spreadsheet or as a portable document format (PDF) file, which is where most Tally analysis actually happens.
For a form with a hundred responses and five fields, a spreadsheet is generally a perfectly good analysis environment and adding a platform on top of it would be waste.
What Sprig Reports
Sprig's Synthesize Agent performs thematic analysis on open-ended responses, summarizes them, compares segments, and identifies patterns and outliers without an export step.
Rather than reading every open-ended response, researchers review themes and drill into the responses behind them, while remaining responsible for judging whether a theme is real or an artifact of wording.
Behavioral Context Around a Response
Sprig captures session replay clips around each in-product response, covering up to five minutes on either side of the answer.
This closes a gap that survey data alone cannot. A response saying the flow was confusing is a claim, and watching what the person actually did immediately before saying it is evidence.
Comparing Across Studies
Sprig supports longitudinal studies and multiple survey runs, so a tracker asked quarterly stays comparable instead of becoming four disconnected forms.
The Open-Ended Response Problem
Open-ended responses are frequently where the value is and where the labor is. Three thousand text answers contain the reasons behind every number in the study, and reading them by hand is typically what gets skipped.
Tally's answer is to hand those responses to an AI client through its Model Context Protocol server, which works and costs nothing.
Sprig's answer is to run thematic analysis inside the platform, where the themes stay attached to the study, the segments, and the response metadata rather than living in a chat session.
Which Platform Is Better for Analysis and Reporting?
Winner: Sprig
Both Sprig and Tally give teams a path to analyzing open-ended responses with AI, and Tally's path through its Model Context Protocol server is genuinely capable for a single study.
Sprig keeps analysis attached to the study. Themes, segments, response metadata, cross-study comparison, and session replay context stay in one place, which is what makes a finding reproducible three months later when somebody asks how you know.
Tally is well suited for teams analyzing one form at a time. Teams running a research program across many studies will find that a chat session is not a place findings can live.
Enterprise Security, Governance, and Administration: How Sprig and Tally Compare
Security is typically where this comparison stops being a matter of preference. These requirements are typically not negotiable, and they are frequently decided by people who never use the product.
Security and Governance at a Glance
| Category | Sprig | Tally |
|---|
| Encryption in transit and at rest | ✅ Yes | ✅ Yes |
| General Data Protection Regulation alignment | ✅ Yes | ✅ Yes |
| Data processing agreement available | ✅ Yes | ✅ Yes |
| Published subprocessor list | ✅ Yes | ✅ Yes, 17 subprocessors |
| European data storage | Not published, hosting is in the United States | ✅ Yes, stored in Europe |
| SOC 2 Type II | ✅ Yes | Not published |
| Health Insurance Portability and Accountability Act support | ✅ Yes | Not published |
| California Consumer Privacy Act alignment | ✅ Yes | Not published |
| Single sign-on | ✅ Yes | Not published |
| Role-based access control | ✅ Yes | Workspaces, folders, and team members |
| Audit controls | ✅ Yes | Not published |
| Data retention controls | ✅ Yes | ✅ Yes, on the Business tier |
What Tally Publishes
Tally states that form data is encrypted in transit and at rest and stored in Europe, and that the company is based in Belgium with primary hosting on Google Cloud in Belgium.
Tally publishes a data processing agreement and a list of 17 subprocessors, including Google Cloud for hosting, Cloudflare, SendGrid for email, Stripe for payments, and OpenAI for abuse detection.
Tally's Business tier adds control over submission data retention and email verification.
What Tally Does Not Publish
Tally does not publish SOC 2, ISO 27001, or Health Insurance Portability and Accountability Act (HIPAA) compliance on its public documentation, and no single sign-on (SSO), Security Assertion Markup Language, or System for Cross-domain Identity Management (SCIM) capability appears on its features page, help documentation, or tier descriptions as of August 2026.
This is a statement about published documentation, not about the company's internal practices. A buyer with a certification requirement should ask Tally directly rather than assume either way.
What Sprig Publishes
Sprig publishes SOC 2 Type II, Health Insurance Portability and Accountability Act (HIPAA) support, General Data Protection Regulation and California Consumer Privacy Act alignment, and Data Privacy Framework participation, alongside Security Assertion Markup Language single sign-on (SSO), role-based access control, and audit logging retained for a year or more.
These are the controls a security review asks for, and their absence is typically what ends a procurement conversation rather than any product capability.
What Sprig Does Not Publish
Sprig hosts on Amazon Web Services in the United States and does not publish regional hosting or data residency options. Sprig also does not publish System for Cross-domain Identity Management (SCIM) provisioning or ISO 27001 certification of its own.
A buyer whose first requirement is that data never leaves the European Union should read that as Tally's advantage rather than Sprig's.
Why This Dimension Decides Deals
For an individual or a small team, none of this matters and paying for it would be irrational.
For an organization where a security questionnaire precedes a purchase, a missing certification is not a feature gap to negotiate. It is a stop.
Which Platform Meets Enterprise Security Requirements?
Winner: Sprig
Both Sprig and Tally encrypt data in transit and at rest, publish a data processing agreement, and name their subprocessors, and Tally's European data storage answers a residency question that some buyers ask first.
Sprig publishes the certifications and access controls that enterprise procurement requires, including SOC 2 Type II, single sign-on (SSO), role-based access control, and audit controls.
Tally is well suited for individuals, small teams, and organizations without a formal security review. Organizations that run one will generally not be able to proceed on published documentation alone.
Implementation, Migration, and Total Cost of Ownership: How Sprig and Tally Compare
Cost is rarely the number on the invoice, and the full comparison is often decided elsewhere. The full picture includes setup time, the manual work each study requires, and what happens when a study needs to run again.
Implementation and Cost at a Glance
| Category | Sprig | Tally |
|---|
| Time to first published form | ✅ Typically minutes | ✅ Typically minutes |
| Time to first in-product study | Typically days, including engineering setup | Not published |
| Engineering involvement | One software development kit installation, then none per study | None |
| Entry cost | Free plan with limited responses | ✅ Free plan with unlimited submissions |
| Manual work per repeat study | ✅ Low, studies are reusable and targeted | Moderate, list handling repeats each run |
| Administrative overhead | Governance and permissions to configure | ✅ Minimal |
| Vendor consolidation | ✅ Replaces several point solutions | Sits alongside other tools |
What Tally Costs to Adopt
Tally's adoption cost is close to zero, and that is its strongest commercial argument.
There is no procurement process, no implementation, no training, and no engineering work.
A person who needs a form has one in minutes, and Tally publishes unlimited forms and unlimited submissions on the free plan within its stated fair usage guidelines.
Tally's paid tiers add branding removal, custom domains, team workspaces, advanced customization, and analytics instead of lifting a response ceiling.
What Sprig Costs to Adopt
Sprig's link and email studies typically launch on a similar timescale. In-product deployment takes longer, because engineers install a software development kit once before research teams can create studies without further engineering time.
Sprig publishes a free entry point with limited responses and scales from there with response volume, activated capabilities, and deployment environments.
Cost comparison here stays qualitative on purpose. Both vendors change packaging, and the durable question is what each platform removes from your workload instead of what it adds to a line item.
The Cost That Does Not Appear on an Invoice
The hidden cost of running research on a form builder is the manual work around each study.
Exporting a list, segmenting it in a spreadsheet, sending through a separate email tool, exporting submissions, joining responses back to customer attributes, and rebuilding the analysis is six steps that no tool performs for you.
Rather than paying that cost once, teams pay it every time the study runs. A quarterly tracker pays it four times a year, forever.
Migrating from Tally to a Survey Platform
Migration from Tally is generally simple, because there is typically less to move than teams expect.
| Phase | What happens | Typical effort |
|---|
| 1. Inventory | List active Tally forms and classify each as form or study | Hours |
| 2. Leave the forms | Keep signups, applications, and payment forms in Tally | None |
| 3. Rebuild the studies | Recreate the research surveys with proper targeting and logic | Days |
| 4. Instrument the product | Install the software development kit for in-product delivery | Days, once |
| 5. Export historical data | Export past submissions for reference before retention limits apply | Hours |
The important step is the second one. Most teams should not migrate everything, because a large share of Tally forms are not research and moving them to a survey platform makes them worse instead of better.
Historical data is the one genuine risk. Export past submissions before changing plans, since Tally's data retention controls sit on its Business tier and published form version history runs 7 days on the free plan, 30 days on Pro, and 90 days on Business.
Which Platform Costs Less to Run?
Winner: Tally
Both Sprig and Tally get a link-based survey in front of respondents quickly, and both offer a free entry point, so neither imposes a barrier on a team that wants to start today.
Tally wins on cost of entry and administrative overhead without qualification. Unlimited forms and unlimited submissions free, no procurement, no implementation, and no governance configuration is a combination no enterprise survey platform offers or is trying to offer.
Sprig's total cost of ownership argument only becomes real when research repeats. Organizations running occasional one-off forms will typically spend less and get what they need from Tally.
Which Platform Is Right for Your Team?
Different teams hit the boundary between a form and a study at different points. These five profiles cover where most of the decisions land.
Product Management
Product teams choose Sprig when they need survey responses from the users who took a specific action, not from everyone.
Product managers typically need survey responses tied to behavior. Sprig triggers studies after a specific in-product action, carries plan tier and usage attributes into the response, and captures session replay around each answer.
Rather than asking everyone what they think of onboarding, a product manager can ask the people who abandoned it yesterday.
Product teams choose Tally when they need a quick intake form rather than a study.
Product managers frequently need a quick form more than a study. A beta signup, a feature request intake, or a five-question check with a customer advisory board is faster in Tally and costs nothing.
Market Research
Market researchers choose Sprig when the sample has to reach beyond their own customers.
Market research commonly needs respondents who are not your customers, and that is a recruitment problem rather than a survey problem. Sprig supports panel recruitment across more than 300,000 verified participants and more than 300 targeting attributes, quota-controlled sampling, and named methods including conjoint analysis and MaxDiff.
A pricing study built on a rating scale in a form builder produces a number that will not survive its first serious review.
Teams weighing Sprig against QuestionPro for this work can read Sprig vs. QuestionPro.
Marketing
Marketing teams choose Sprig when message or concept testing needs reach beyond the existing list and comparable repeat runs.
Marketing teams running message testing, concept testing, or brand tracking need comparability across runs and reach beyond the existing list. Sprig supports longitudinal studies and multiple survey runs so a tracker stays consistent quarter over quarter.
Marketing teams choose Tally for lead capture, event registration, and content signups.
Marketing teams generally run more forms than studies. Lead capture, event registration, content downloads, and webinar signups are Tally's core competence, and its embed, popup, and Meta Pixel support are built for exactly that work.
Founders and Small Teams
Founders and small teams choose Tally to cover their form needs at no cost.
Small teams should generally start with Tally. Unlimited free submissions, a document-style editor anyone can use, payment collection, signatures, and a broad set of free automation connectors cover a startup's entire form surface at no cost.
The moment to reconsider is not a headcount number. It is the first time a decision worth real money depends on who answered.
Information Technology and Security
Security reviewers weigh Sprig when a purchase depends on published certifications and access controls.
Security reviewers evaluate published controls more than product experience. Sprig publishes SOC 2 Type II, Health Insurance Portability and Accountability Act (HIPAA) support, single sign-on (SSO), role-based access control, and audit controls.
Tally publishes encryption in transit and at rest, European data storage, a data processing agreement, and a subprocessor list, which satisfies some reviews and not others.
Which Platform Fits Different Organizations?
Solo founders, small startups, agencies, and marketing teams running forms generally start with Tally. Product teams with an instrumented application, research teams, and organizations with a formal security review generally start with Sprig.
| Organization type | Recommended platform | Why |
|---|
| Solo founder or small startup | Tally | Covers every form need at no cost |
| Agency or creator collecting client intake | Tally | Payments, signatures, and file uploads in one form |
| Product team with an instrumented application | Sprig | Behavioral targeting and in-product delivery |
| Marketing team running lead capture | Tally | Embed, popup, and advertising pixel support |
| Marketing team running message testing | Sprig | Panel reach and comparable repeat runs |
| Research team running quantitative studies | Sprig | Conjoint analysis, MaxDiff, and quota control |
| Organization with a formal security review | Sprig | Published certifications and access controls |
| European team with a residency requirement and no certification requirement | Tally | Form data stored in Europe |
The Bigger Strategic Question
The question worth asking is not which product is better. Tally and Sprig are both good at what they were built for, and the ratings reflect that.
The question is what your organization is trying to become. A company that runs a handful of forms a year needs a form builder and should not be sold anything else.
A company where product, marketing, and customer experience decisions increasingly depend on customer evidence is building a research capability, and a research capability needs infrastructure that can reach the right people and defend its own numbers.
Ultimately, the decision comes down to whether the next hard question you face is about the form or about the answer.
Frequently Asked Questions
These answers cover the questions buyers ask most often about Sprig and Tally.
What is the difference between Sprig and Tally?
Tally is a form builder for collecting structured input from people you can already reach, and Sprig is an enterprise survey platform powered by AI agents for running research that has to be defensible. Tally is strongest on speed, cost, and generic form work including payments and signatures. Sprig adds in-product delivery, behavioral targeting, panel recruitment, quota control, advanced research methods, and enterprise security certifications.
Is Sprig a Tally alternative?
Sprig is an alternative to Tally for research surveys but not for general forms. Teams commonly move research studies to Sprig while keeping signups, applications, and payment forms in Tally, because a survey platform makes those forms harder instead of easier. The two products overlap on a narrow band of short link-based surveys and diverge everywhere else.
Can you run real research with Tally?
Tally can run valid research when the audience is already reachable and the method is simple. A satisfaction survey sent to a customer list, a short survey after an event, or a preference question with a clear population will produce usable results. Tally does not publish quota control, panel recruitment, or advanced quantitative methods, so studies that require a representative sample or a tradeoff analysis will not hold up.
Why do teams switch from Tally to a survey platform?
Teams typically switch for reach, for proof, or for features a form builder does not include. The trigger is typically needing responses from people outside an existing list, needing to ask users at a specific moment inside a product, or facing a security review that asks for certifications. A secondary trigger is repetition, since the manual list handling a form builder requires gets paid again every time a tracker runs.
Does Tally have AI features?
Tally does not publish native AI features for drafting questions or analyzing responses inside the product. Tally takes a different route: its first-party Model Context Protocol (MCP) server lets Claude, ChatGPT, and other clients create forms from a description and analyze submissions directly. That approach is free on all plans and works well after collection, but it does not assist with study design before fielding.
Does Sprig work with Claude and ChatGPT?
Sprig publishes a first-party Model Context Protocol (MCP) server that connects live studies, responses, and themes to AI clients. Sprig documents connection paths for Claude, ChatGPT, Gemini, Copilot, and Cursor through an authorization flow, so a researcher can ask a client to summarize a study without exporting anything.
Can Sprig send surveys by email?
Sprig supports native email distribution alongside links, QR codes, embedded surveys, in-product surveys on web and mobile, and research panels. Every channel connects to the same study, so responses collected by email and responses collected inside a product land in one dataset rather than in separate exports that have to be reconciled.
Does Tally support in-product surveys?
Tally does not publish in-product survey capability. Tally supports embedding a form on a website and showing it as a popup, which reaches website visitors but cannot target users by product behavior or user attributes, and does not extend to mobile applications. Sprig deploys studies inside web and mobile applications through software development kits for web, iOS, Android, React Native, and Flutter.
Does Tally offer single sign-on or SOC 2 compliance?
Tally does not publish single sign-on (SSO), System for Cross-domain Identity Management (SCIM), SOC 2, or ISO 27001 compliance in its public documentation as of August 2026. Tally does publish encryption in transit and at rest, data storage in Europe, a data processing agreement, and a list of 17 subprocessors. Buyers with a certification requirement should ask Tally directly instead of inferring an answer from documentation.
How do I migrate from Tally to Sprig?
Migration starts by classifying every active Tally form as either a form or a study. Signups, applications, and payment forms should generally stay in Tally. Research surveys get rebuilt in Sprig with targeting and logic that the original form could not express, which typically takes days rather than weeks. Export historical submissions before changing plans, since retention controls and version history are time-limited.
Is Tally good enough for Net Promoter Score tracking?
Tally can collect Net Promoter Score (NPS) responses, and for a single reading sent to a known list it works. Tracking is typically where it becomes expensive, because each run requires exporting the customer list, segmenting it manually, sending through a separate email tool, and joining responses back to customer attributes in a spreadsheet. Sprig carries segmentation into the study itself, so a quarterly tracker stays comparable without reassembly.
How is Sprig rated by users compared to Tally?
Sprig holds 4.3 out of 5 on G2 across 199 reviews as of August 2026, and Tally holds 4.9 out of 5 on G2 across 141 reviews over the same period. The two scores are not measuring the same thing. Tally reviewers are rating a free form builder against other form builders, and Sprig reviewers are rating an enterprise platform against enterprise platforms, where implementation, governance, and administration all enter the score.
When should I choose Tally instead of Sprig?
Choose Tally when your forms collect input from people you already reach, such as signups, applications, payment or signature forms, and quick intake, and when no decision depends on proving who answered. Choose Sprig when the same data must withstand scrutiny, which usually means reaching people outside your own list, targeting by product behavior, or meeting a security review.
Which platform should my organization choose?
Sprig is the right choice for organizations where research decisions carry real consequences and where reach, methodology, and security certifications are requirements rather than preferences. Tally is the right choice for individuals, small teams, and any organization whose forms are genuinely forms. Most organizations should run both, keeping general forms in Tally and moving research studies to a platform built to defend them. The deciding question is whether the next person to see your data will ask how you know.
