Introduction
Sprig and Dovetail do different jobs. Sprig runs primary research: it designs a study, fields it to a defined audience by email, link, or research panel, and synthesizes the responses. Dovetail is primarily a research repository and analysis environment that stores and analyzes evidence other tools collect. Dovetail does not field surveys or recruit participants, and Sprig does not offer a company-wide repository for interviews, sales calls, and support tickets. Many teams run both, sending Sprig responses into Dovetail through a one-way Zapier connection so measured results sit beside qualitative evidence.
Last updated October 2026.
What is Dovetail?
Dovetail describes itself as an AI-first customer intelligence platform. It brings in evidence from other systems, including interview recordings, sales calls, support tickets, and survey exports, then helps teams tag it, search it, and turn it into themes and insights that can be shared across a company.
Dovetail still sells a research repository as a named solution, and G2 lists it in the User Research Repositories category. For a full profile, see what Dovetail is and how it works.
How is Sprig different from Dovetail?
The core difference is collection versus curation. Sprig creates new evidence by asking a defined population structured questions. Dovetail makes existing evidence findable and reusable by storing it in one searchable place, analyzing it, and pushing insights to the tools where decisions happen.
Primary research versus a repository
A research repository is a shared, searchable store of customer evidence that outlives the study that produced it. Dovetail is built around that job. A survey platform collects new, structured answers from a defined audience. Sprig is built around that job.
The distinction shows up in the questions each answers well:
- "What have customers already told us about checkout?" is a repository question. Start in Dovetail.
- "What share of customers who upgraded last month were confused by billing?" is a measurement question. Start in Sprig.
- "Why is that share higher on monthly plans?" often needs both: Dovetail's transcripts for the reasons, Sprig's segment cut for the size.
What Sprig does not do
Sprig does not offer a company-wide repository, transcript analysis of recordings it did not collect, video highlight reels, or moderated interviews. It keeps its own study results and supports cross-study questions through its Model Context Protocol (MCP) connector, but it is not the place a company searches for last year's interviews.
What Dovetail does not do
Dovetail does not write, target, or deliver surveys, recruit participants, or moderate interviews. Its survey documentation describes AI theme summaries and an overview of imported quantitative results, but not crosstabs, quotas, sampling controls, or significance testing. A repository can show that a complaint recurs; it cannot say what share of a population it affects.
How does the Sprig and Dovetail integration work?
Sprig sends survey responses to Dovetail through Zapier. When a respondent submits a response to an active Sprig survey, a Zapier trigger fires, and a Zapier action creates a note in a chosen Dovetail project. The flow runs one way, from Sprig into Dovetail, one response at a time.
The data flow, stage by stage
The table below traces one response from study setup to repository handoff. Stages one through four happen in Sprig; stage five happens in Zapier; stage six happens in Dovetail.
| Stage | Where it runs | What happens | Who owns it |
|---|
| 1. Study setup | Sprig | Research goal becomes a programmed study; researcher approves it | Researcher |
| 2. Fieldwork | Sprig | Study reaches the audience by email, link, or panel | Researcher or research ops |
| 3. Responses | Sprig | Each completed response is stored in Sprig | Sprig |
| 4. Synthesis | Sprig | Synthesize Agent builds themes and a report across responses | Researcher reviews |
| 5. Transfer | Zapier | "New Survey Response" trigger fires; fields are mapped to a Dovetail note | Workspace admin |
| 6. Repository handoff | Dovetail | Note lands in a project beside interviews, calls, and tickets | Repository owner |
Two points in the table matter most. First, synthesis happens in Sprig before the handoff, so Sprig's themed report is the survey's analysis of record. Second, Zapier carries only the fields a workspace admin maps in stage five.
What moves between the tools
Zapier's Sprig integration documents one trigger, "New Survey Response," which "triggers when a new response is submitted for an active survey." Dovetail's Zapier documentation lists three actions: Create Note, which creates a new note in a chosen Dovetail project, Create Insight, and Create Person. The Sprig to Dovetail workflow uses Create Note.
Sprig's Zapier documentation states that responses include survey answers and email addresses, and that Sprig-provided fields can be used to customize the destination. The documentation does not publish a complete field schema, so admins should inspect the trigger's test output before mapping.
Zapier versus a CSV import
Teams can also export Sprig responses and import them into Dovetail as a CSV file. Dovetail's help center describes CSV import this way: each respondent becomes one data object in a project, with each question and answer in its own block. The documented limits are 5,000 rows per file, 200 characters for the title column, and 300,000 characters for the content column.
The two routes suit different work:
- Zapier suits ongoing studies, because each response arrives as it is submitted, without a manual export.
- CSV import suits a closed study with a large response set, where one batch import is simpler than thousands of individual notes.
Dovetail's help center also states that users "cannot highlight and tag survey data within a survey data import." Teams that want to highlight survey quotes in Dovetail should test whether Zapier-created notes behave differently in their workspace before choosing a route.
How do you set up the Sprig to Dovetail integration?
Setup takes five steps and requires three things: a Sprig account with access to the Integrations section (admin permissions may be required), a Zapier account, and a Dovetail workspace where the connecting user can add notes to the target project.
Setup steps
- Create a Zapier account.
- In the Sprig app, open Integrations, then Zapier, then Get API Keys.
- Identify the environment the survey runs in, Development or Production.
- Copy that environment's ID for the Zapier connection.
- In Zapier, choose Sprig's "New Survey Response" trigger, authenticate, then choose Dovetail's Create Note action, select the project, map the fields, test, and turn the Zap on.
Dovetail's side is authorized from its Settings, then Integrations, with the connection completed on Zapier's website.
Decisions to make before turning the Zap on
The setup screens do not force these decisions, which is why they are easy to skip:
- Which project receives responses. One project per study keeps a tracker readable; one shared project suits a continuous feedback stream.
- Which fields to send. Send what the repository needs to be useful, such as the answers, a segment attribute, and the study name, and leave out identifiers the repository does not need.
- Which environment. Connect Production for live studies. A Development connection will not carry production responses.
- How notes are titled. A consistent title pattern, such as study name plus response date, makes the project searchable later.
Supported behavior
The integration supports automatic, per-response transfer from any active Sprig survey in the connected environment into one Dovetail project per Zap. Teams can run several Zaps to route different studies to different projects. Zapier's task history shows each run, which helps when a response appears to be missing.
What does the Sprig and Dovetail integration not do?
The integration moves responses into Dovetail and nothing else. It is not a native, bidirectional sync, and it does not move Sprig's analysis, update Sprig from Dovetail, or recreate Dovetail's tagging from Sprig's themes. The table below sets out each boundary.
| The integration does | The integration does not |
|---|
| Send each new Sprig response to Dovetail | Send anything from Dovetail back to Sprig |
| Create a note in one chosen project per Zap | Create Dovetail insights from Sprig's Synthesize Agent report |
| Carry the fields an admin maps | Carry unmapped fields, or fields added to the survey later, until the Zap is updated |
| Run while the Zap is on | Backfill responses submitted before the Zap was turned on |
| Use Zapier as the connection layer | Run without a Zapier account |
Sprig does not publish a Zapier action, so Dovetail's "New Insight" trigger cannot start a Sprig study through Zapier. For historical responses, a one-time CSV export and import fills the gap. For programmatic access, Sprig also offers webhooks and a Data Export API.
What are the security boundaries of the integration?
Survey responses pass through three systems: Sprig, Zapier, and Dovetail. Each applies its own controls, and no single vendor's certification covers the whole path. A security review should treat Zapier as a processor in the data flow and confirm each system's controls separately.
Controls each system publishes
- Sprig publishes SOC 2 Type II, HIPAA, GDPR, CCPA, and Data Privacy Framework compliance, SAML single sign-on, audit logging retained for at least one year, and hosting on Amazon Web Services in the United States.
- Zapier states that it is SOC 2 Type II and SOC 3 compliant, encrypts data at rest with AES-256 and in transit with TLS 1.2, and offers custom data retention for Zaps.
- Dovetail publishes SOC 2 Type II, single sign-on with major identity providers, granular sharing and permissions, and data hosting in the United States, Europe (Ireland), or Australia (Sydney). HIPAA is an optional add-on for Enterprise customers.
Three boundaries to review
Personal data leaves Sprig. Sprig's Zapier documentation notes that responses include email addresses. Map only the identifiers the repository needs, and check Dovetail's permissions on the receiving project before sharing it widely. Dovetail lists redaction and custom retention as Enterprise features.
Hosting region can change. Sprig hosts in the United States. A Dovetail workspace in Europe or Australia means responses move from US hosting to that region. Teams with data residency obligations should document the transfer.
Sprig's MCP governance does not apply to Zapier. Sprig's MCP data-security controls, such as role-scoped access and a 1,000-response cap per call, govern AI clients connected through MCP. They do not govern Zapier, which acts on the API key and field mapping the admin configures.
Which workflows combine Sprig and Dovetail?
Three workflows cover most combined use: continuous product feedback, customer research studies, and ongoing research programs. In each, Sprig collects and synthesizes the survey, and Dovetail keeps the responses beside the qualitative evidence a team already stores. The examples below use illustrative companies and figures.
Workflow 1: continuous product feedback
A product team runs an always-on feedback survey and wants every response searchable beside support tickets. A project-management software company sends a short satisfaction survey by email after each customer's first 30 days, using a customer satisfaction survey with one rating question and one open-text question.
- Build the survey in Sprig and approve it.
- Connect a Zap that creates a note in a Dovetail project named "Product feedback," titled with the plan type and response date.
- Let Sprig's Synthesize Agent report themes across responses each week.
- In Dovetail, tag the notes against the same product-area tags used for support tickets.
- When a theme appears in both tickets and survey answers, cite both in the product brief.
The value is triangulation. A complaint that appears in 40 support tickets and in open-text answers from a defined group of new customers is harder to dismiss than either source alone.
Workflow 2: customer research studies
A research team runs a defined study and wants the survey to sit beside interviews in one project. A B2B software company studies why accounts churn. It interviews 12 churned customers and records the calls into Dovetail, then sends a Sprig email survey to 1,200 accounts that cancelled in the last two quarters.
- Read the interview transcripts in Dovetail first, and write survey answer options from the customers' own words.
- Field the survey in Sprig by email to the churned-account list.
- Route responses to the same Dovetail project as the interviews.
- Use Sprig's report for the shares by segment, and Dovetail for the quotes that explain them.
Suppose 300 accounts respond and 38 percent choose "missing integrations" as the main reason. The interviews explain which integrations and why they mattered. The survey says how common the reason is among the accounts that answered. Because respondents select themselves, the 38 percent describes respondents, not every churned account.
Workflow 3: ongoing research programs
A research operations team runs a repeated study and wants each wave findable later. A consumer subscription company runs a quarterly voice of customer survey as multiple runs of one Sprig study.
- Keep the instrument identical across waves, so results stay comparable.
- Route each wave to its own Dovetail project, named by quarter.
- Publish a short Dovetail insight after each wave that links the Sprig report and the supporting notes.
- Review the tag list each quarter so tags stay consistent across waves.
The repository becomes the program's memory. A product manager who asks in the fourth quarter whether a concern has grown finds four waves, each with its evidence attached.
How do Sprig and Dovetail compare on research methods?
Sprig covers structured survey methods, and Dovetail covers analysis of evidence collected elsewhere. The two meet only at survey results, which Sprig produces and Dovetail can store and summarize.
Sprig documents 14 question types, including rating scales, open text, matrix, rank order, NPS, video and voice responses, Recorded Task in a prototype, MaxDiff, and conjoint. Logic, piping, three levels of randomization, response quotas, and repeated survey runs support longitudinal studies.
Dovetail analyzes whatever arrives: transcripts, recordings, support tickets, sales calls, and survey exports. Researchers can highlight and tag passages by hand alongside the AI features, except within a CSV survey import.
Verdict: the dimension splits cleanly. Sprig is the only one of the two that fields a study. Dovetail is the only one of the two that analyzes interviews and calls from other tools.
How do Sprig and Dovetail compare on participant reach?
Sprig reaches participants, and Dovetail does not. Sprig fields studies to a company's own customers by email and link, and to external audiences through research panels. Dovetail has no participant pool, recruiting, or distribution, because it works with evidence after collection.
Dovetail's reach is internal instead: how widely evidence travels inside a company. It pushes insights to tools such as Jira, Slack, Notion, and Linear, so people who never log into Dovetail still see the evidence.
The practical consequence is sequencing. A team that finds a theme in Dovetail and wants to size it needs a collection step, and that step runs in Sprig, over email to a customer list or through a panel for people outside the customer base.
Verdict: Sprig for reaching respondents; Dovetail for reaching colleagues.
How do Sprig and Dovetail compare on AI assistance?
Both use AI heavily, aimed at different objects. Sprig's agents work inside a single study, from drafting questions to reporting themes. Dovetail's AI works across the whole repository, answering questions with citations back to the evidence.
| AI job | Sprig | Dovetail |
|---|
| Draft a study | Design Agent programs logic and randomization | Not applicable |
| Follow up with respondents | Field Agent asks real-time follow-ups | Not applicable |
| Summarize responses | Synthesize Agent themes, quotes, reports | Theme summaries of imported surveys |
| Answer questions across all evidence | MCP queries across Sprig studies | AI Chat with cited answers |
| Draft documents | Study reports | AI Docs drafts briefs and reports with citations |
| Automate actions | Humans approve every study | AI Agents on events or schedules, with optional approval before writes |
On both platforms, AI output is a draft. Researchers remain responsible for opening the cited evidence, checking themes against raw responses, and deciding what a finding means.
Verdict: depends on the job. Sprig's AI shortens the path from question to answer; Dovetail's AI shortens the path from archive to answer.
How do Sprig and Dovetail compare on governance?
Both publish SOC 2 Type II and single sign-on, so the differences sit in hosting and in controls around shared evidence.
- Hosting: Sprig hosts in the United States only. Dovetail offers US, European, or Australian hosting.
- HIPAA: Sprig publishes HIPAA compliance. Dovetail offers HIPAA as a paid Enterprise add-on with a Business Associate Agreement.
- Access and retention: Dovetail lists access control, audit logs, custom retention, and redaction as Enterprise features. Sprig publishes SAML SSO, role management, and audit logs retained for at least one year.
- AI access: Sprig publishes MCP governance, including role-scoped access and an admin kill switch, and agents cannot launch or modify a live study. Dovetail says its AI Agents can require human approval before a write action.
Sprig does not publish ISO 27001 as its own certification, SCIM provisioning, or regional hosting options.
Verdict: Dovetail leads for teams that need hosting outside the United States. Otherwise the core controls are comparable, and the right question is which system will hold the most sensitive data.
How do Sprig and Dovetail compare on integrations?
Dovetail's integrations are mostly intake: they bring evidence in. Dovetail lists dozens of native integrations covering sources such as sales calls, support tools, CRMs, and survey tools, plus an API, a command-line tool, and an MCP server with roughly 50 tools.
Sprig's integrations are mostly outbound and targeting: they move responses out and bring audience data in. Sprig connects to Zapier, webhooks, a public API, a Data Export API, product analytics and data tools, and an MCP connector for Claude, ChatGPT, Gemini, Copilot, and Cursor.
Verdict: Dovetail for gathering many evidence sources in one place; Sprig for getting survey data into other systems. The two ecosystems connect through Zapier.
How do Sprig and Dovetail compare on time to insight?
Time to insight depends on where the evidence starts. When the answer already exists in past research, Dovetail is typically faster, because a search or an AI Chat question returns cited evidence without new fieldwork. When the answer does not exist yet, Sprig is faster, because it goes from question to fielded study to report in one platform.
Two factors slow each tool down. Dovetail's speed depends on intake being connected before anyone searches; an empty project answers nothing. Sprig's speed depends on audience access; a study to a large panel audience typically fills faster than a study to a small, hard-to-reach segment.
Neither vendor publishes an independent benchmark for time to insight. Treat any vendor figure as a claim, and time a real question from your own backlog during evaluation.
Verdict: Dovetail when the evidence exists; Sprig when it has to be collected.
How do Sprig and Dovetail compare on pricing model?
Neither vendor publishes paid-plan prices. The models differ in what drives cost.
- Sprig states that pricing scales with total response volume across studies, activated research capabilities, and deployment environments, with enterprise onboarding and support included. There is no self-serve signup.
- Dovetail lists a Free plan and an Enterprise plan. The Free plan includes one channel, one project, and basic AI Chat; SSO, integrations, access control, audit logs, and the HIPAA add-on sit on Enterprise.
A combined stack adds a third cost: Zapier. Zapier plans typically meter automated actions, so a high-volume survey stream should be sized against the Zapier plan before launch.
Verdict: not comparable on price, because the products buy different things. Sprig cost tracks how much research a team fields; Dovetail cost tracks how many people use the repository and which controls they need.
Should you use Sprig with Dovetail, Sprig alone, or Dovetail alone?
Use Sprig with Dovetail when a team both collects new survey evidence and keeps a repository of qualitative evidence. Use Sprig alone when survey research is the main job and no repository exists. Use Dovetail alone, or with another collection tool, when the main job is organizing interviews, calls, and tickets rather than fielding surveys.
Decision table
| Your situation | Recommended setup | Why |
|---|
| Research team runs surveys and interviews, and stakeholders search past research | Sprig with Dovetail | Sprig measures; Dovetail keeps survey results beside interviews |
| Product team needs to size themes already found in tickets and calls | Sprig with Dovetail | Dovetail finds the theme; Sprig measures its incidence |
| Survey-led program with no interview archive | Sprig alone | Synthesize Agent reports and MCP cover analysis and sharing |
| Team needs MaxDiff, conjoint, or repeated tracking | Sprig alone or with Dovetail | Structured methods run in Sprig either way |
| Evidence comes mostly from interviews, sales calls, and support | Dovetail alone | Collection happens in the call and support tools already feeding it |
| Team runs moderated or AI-moderated interviews | Dovetail with an interview tool | Sprig does not run interviews |
| Occasional small surveys, with the repository as the priority | Dovetail with a basic survey tool | A CSV import may be enough |
| Data must be hosted outside the United States | Dovetail, and review Sprig's US hosting | Only Dovetail publishes regional hosting |
When a team may reasonably choose Dovetail alone
Dovetail alone is a sound choice when a team's evidence already flows in from interviews, sales calls, and support, and nobody needs a population estimate. A research team at a company with a small, known customer base, such as 40 enterprise accounts, may learn more from interviews than from a survey, because the population is too small for estimates to add much.
The same holds when repository adoption is the problem. If product managers do not search past research, adding a survey platform produces more unread evidence.
When Sprig alone is enough
Sprig alone fits a survey-led program, where most questions are about incidence, satisfaction, and priorities. The Synthesize Agent's reports and Sprig's MCP access cover analysis and sharing. A repository becomes worth adding when interviews and calls accumulate with nowhere to go.
What should buyers ask before choosing?
Ten questions settle most evaluations. Ask the first four of your own program, and the rest of the vendors.
- What share of our last two quarters of questions needed a number, and what share needed reasons?
- Where do our interviews, calls, and tickets live today, and does anyone search them?
- Which audiences must we reach: our own customers, an external panel, or both?
- Who owns tagging, and how often will we review the tag list?
- Which Sprig fields must reach Dovetail, and which identifiers should stay out?
- Which Dovetail region will hold survey responses, and does that change our data transfer documentation?
- Are the integrations we depend on generally available, or in beta?
- How many Zapier tasks will our response volume use each month?
- Which roles can see raw responses, recordings, and personal details in each Dovetail project?
- Which AI features write to shared data, and who approves those writes?
What should teams plan for during implementation?
Implementation is light on engineering and heavy on conventions. Email, link, and panel studies in Sprig need no engineering work, and the Zapier connection is configured, not coded. The effort goes into decisions that keep the combined stack readable a year later.
- Name things once. Agree study names, Dovetail project names, and note titles before the first Zap, and reuse them.
- Set access before import. Decide which roles can see personal details in the receiving project before inviting the wider company.
- Keep synthesis in one place. Treat Sprig's report as the survey's analysis of record, and use Dovetail to connect it to other evidence.
- Test with real data. Run a test response through the Zap and open the resulting note before a study launches.
- Plan for backfill. Import historical responses once by CSV, since the Zap only carries new responses.
- Assign an owner. A named admin should own the Zap, its API key, and its field mapping.
Where does Dovetail lead, and where does Sprig lead?
Dovetail leads on qualitative synthesis across sources and on research reuse. It brings transcripts, calls, tickets, and studies into one analysis layer, and it is designed for finding evidence again months after a study closes. Sprig has no equivalent for recordings it did not collect.
Sprig leads on collecting structured evidence from a defined population: study design, distribution by email, link, and panel, advanced methods such as MaxDiff and conjoint, and synthesis of the responses.
On independent review sites, Sprig holds 4.3 out of 5 across 199 reviews on G2 as of September 28, 2026. Dovetail held 4.5 out of 5 across 169 reviews on G2 as of September 24, 2026. The two sit in different G2 categories, Survey Software and User Research Repositories, so the scores are not a like-for-like comparison.
For how Sprig compares with survey platforms that do overlap, see Sprig's comparison hub.
Frequently asked questions
The answers below cover the questions buyers most often ask when comparing or connecting Sprig and Dovetail.
What is the difference between Sprig and Dovetail?
Sprig runs primary research: it designs surveys, fields them by email, link, or research panel, and synthesizes the responses with AI agents. Dovetail is a research repository and analysis environment that stores and analyzes evidence other tools collect, such as interviews, sales calls, support tickets, and survey exports. Sprig creates new evidence; Dovetail makes existing evidence findable.
Is Sprig a Dovetail alternative?
No, Sprig is not a Dovetail alternative, because the two do different jobs. Sprig does not offer a company-wide repository or transcript analysis, and Dovetail does not field surveys or recruit participants. Dovetail's closest alternatives are other research repositories. Many teams use Sprig and Dovetail together.
Does Dovetail run surveys?
No, Dovetail does not create or distribute surveys. It imports survey results, either as a CSV file where each respondent becomes one data object, or through integrations such as Zapier. Fielding a survey to a defined audience requires a survey platform such as Sprig.
How do I send Sprig survey responses to Dovetail?
Connect Sprig to Dovetail through Zapier. Get a Zapier API key in Sprig under Integrations, then Zapier, choose Sprig's "New Survey Response" trigger in Zapier, and pair it with Dovetail's Create Note action in a chosen project. Each new response then becomes a note in that project.
Is the Sprig Dovetail integration two-way?
No, the integration is one way, from Sprig into Dovetail. Sprig publishes a Zapier trigger but no Zapier action, so nothing in Dovetail can update Sprig or start a Sprig study through Zapier. The integration also does not backfill responses submitted before the Zap was turned on.
What data does the integration send to Dovetail?
The integration sends the fields a Zapier admin maps from Sprig's "New Survey Response" trigger. Sprig's documentation states that responses include survey answers and email addresses. Teams should map only the fields the repository needs and leave out identifiers it does not.
Is the Sprig to Dovetail integration secure?
Responses pass through Sprig, Zapier, and Dovetail, and each publishes SOC 2 Type II. Sprig hosts in the United States; Dovetail offers US, European, or Australian hosting. Teams should review Zapier as a processor, map only needed fields, and set project permissions in Dovetail before sharing.
Should I use Zapier or a CSV import?
Use Zapier for ongoing studies, because each response arrives as it is submitted. Use a CSV import for a closed study or for historical responses. Dovetail's documented CSV limits are 5,000 rows per file, and it states that survey data cannot be highlighted or tagged within a survey import.
Can Dovetail measure how many customers have a problem?
Dovetail can show how often a theme appears in stored evidence, but ticket and interview counts reflect who contacted the company, not who is affected. Measuring incidence requires a survey to a defined population. A common pattern finds the theme in Dovetail and sizes it with a Sprig survey.
How much do Sprig and Dovetail cost?
Neither vendor publishes paid-plan prices. Sprig prices on response volume, activated capabilities, and deployment environments. Dovetail lists a Free plan and an Enterprise plan, with SSO, integrations, and advanced controls on Enterprise. A combined stack also needs a Zapier plan sized to response volume.
Which is better for enterprise research without a large research operations team?
It depends on where the evidence starts. A team that must collect new evidence gets further with Sprig, whose agents draft, field, and synthesize studies. A team whose evidence already arrives from calls and support gets further with Dovetail, whose integrations and AI Chat organize it with little manual work.
Can I use Dovetail without Sprig?
Yes, Dovetail works without Sprig. Teams whose evidence comes mainly from interviews, sales calls, and support tickets can use Dovetail alone, or pair it with an interview tool or a basic survey tool. Sprig becomes useful when the team needs structured answers from a defined audience.
