Turn interviews, recordings, tickets and surveys into traceable customer insights with projects, channels and AI Chat. The current Free plan offers one project and one channel; Enterprise is custom priced.
Dovetail brings customer interviews, documents, recordings and continuous feedback into a research workspace. Projects organize deeper studies; channels monitor recurring feedback; AI Chat answers questions about the material with citations to underlying transcripts, tickets or documents. The difference from a generic summarizer is the evidence trail: a product team can ask what users struggled with, then click through to the original observation. That trail still needs human reading because a polished synthesis can hide a small or skewed sample.
Start with a single research question, such as why first-time users fail onboarding. Import a small, permission-cleared set of calls and tickets. Create a project, standardize tags and ask Chat for the strongest recurring themes and counterexamples. Open each citation and count how many distinct participants or accounts support a claim. A channel can then watch ongoing feedback for the same theme. Publish a conclusion only when it distinguishes participant evidence from an interpretation and names the sample limits.
The current pricing page lists a Free plan at $0 with one channel and one project, plus limited AI Chat and summaries. Enterprise is custom priced and expands channels, projects, controls and advanced AI capabilities. The page no longer presents a universal self-serve per-seat tier between those options. To plan a team rollout, verify the live quote for import volume, user roles, retention, redaction and integrations, not just the Free plan's existence.
Onboarding research
Voice-of-customer monitoring
Roadmap evidence
Official product image. Click to inspect the details.
Organize interviews, recordings and documents around one research question.
Classify repeated feedback signals from tickets, reviews or surveys.
Ask questions and follow links to the exact supporting source.
Turn source moments into shareable, evidence-backed findings.
Control exposure of customer material according to workspace plan and settings.
Frame the question
Import consented sources
Inspect AI themes
Share bounded findings
Write a decision to support and define the customer sample.
Add a small set of calls, tickets or survey answers and check permissions.
Ask Chat for themes and counterexamples; open every citation and count distinct sources.
Publish evidence, interpretation and sample limits separately, then monitor new feedback.
Pricing checked on October 7, 2026. See plan details below.
The current official page lists Free at $0 with one project, one channel and limited AI summaries and Chat. It lists Enterprise as custom pricing with broader channels, projects, integrations and controls. The page does not offer a stable public numeric seat quote for a mid-tier plan.
A team should request a quote for its actual users, source volume, import connectors, redaction and retention requirements. The Free plan is enough to test research structure but not proof that a larger shared program will have the same capabilities or cost.
Yes. The current page lists $0 with one project and one channel.
It tracks and classifies ongoing customer feedback signals.
Yes. Official materials describe links to transcripts, tickets and documents.
No. Check distinct participants, sample bias and counterexamples.
The current page requests a custom quote.
No. Check consent, redaction, roles and retention first.
Explore platforms, inputs and outputs, licensing, and access requirements.
AI Chat cites exact source material, but citations establish traceability rather than statistical representativeness. Confirm participant counts and counterexamples before making roadmap claims.
Research data may contain customer identifiers, voice and sensitive complaints. Obtain usage rights, restrict project access and review redaction and retention settings before importing it.
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