Build roadmap confidence with customer evidence
Ground prioritization and tradeoffs in what customers are actually saying. Use customer intelligence to make research a stronger driver of product decisions, strengthen roadmap bets, and align teams around what to build next.
Connecting the world's leading teams to their customers
Navigate competing priorities with stronger signal
Pressure-test roadmap bets, explore jobs to be done, and answer high-stakes product questions with cited customer evidence in seconds. Strengthen the “why now?” behind prioritization decisions without breaking planning flow.


Turn signals into product direction
Turn customer evidence into stronger PRDs, sharper requirements, and better-informed planning briefs. Carry evidence into product direction without losing momentum during high-stakes planning cycles.
Keep momentum during high-stakes planning cycles
Let important signals trigger the next step automatically, whether that’s drafting a brief, creating a ticket, or notifying the right stakeholder. Reduce the manual chain between seeing a pattern and acting on it.


Keep customer evidence in the flow of product work
Connect customer intelligence to planning and delivery workflows, so evidence can inform tradeoffs, sprint planning, and what gets built next.
FAQs
You can connect a general AI tool to your files and get answers. What you get back is text. Dovetail gives you the actual evidence: the video clip of the participant describing the problem, the exact moment in the interview, the verbatim in context. When a PM asks “what do customers think about onboarding?” they don’t get a paragraph a model wrote—they get the clips of customers saying it in their own words.Beyond evidence quality, there are three things a general AI tool can’t replicate. Organizational memory: every study, tag, theme, and annotation your team has built over years compounds into a body of knowledge that gets richer over time—a general AI sees files, Dovetail understands the relationships between them. Governed access: research involves sensitive participant data, and Dovetail gives you PII redaction, role-based permissions, and compliance controls across your entire evidence base—an MCP connection inherits one person’s credentials with no governance layer. Purpose-built analysis: Dovetail understands research natively across text, video, and audio—a general model reasons about text, it doesn’t watch the video, hear the tone, or connect a finding from last quarter’s study to a theme emerging in this week’s interviews. The gap isn’t access to data. It’s what happens after you access it.
Most research repositories are storage systems. They hold your studies, but they can’t answer questions across them. Dovetail is built to make your entire body of research queryable. Ask “what have we learned about enterprise onboarding in the last year?” and get a cited answer with the original interview clips playing inline—not a link to a folder. As your evidence grows, the system gets smarter. A folder structure doesn’t.
Every AI-generated theme and insight in Dovetail traces back to the source evidence it was created from. Ask a question and you get the answer alongside the video of the participant saying it, the exact verbatim, the session it came from. Your team stays in control of how themes are validated, merged, and used. The AI accelerates synthesis—it doesn’t replace researcher judgment, and it never asks you to take its word for it.
Automatic PII redaction works across text, audio, and video by default. Granular access controls let you protect raw session data while making polished findings widely available. Enterprise plans include SOC 2 Type II, ISO 27001, SSO, data retention controls, data residency across the US, EU, and APAC, and an available HIPAA add-on.
Dovetail offers a CLI for migrating data from existing research tools, wikis, and databases. Years of prior research come with you. Most teams are up and running within a week, and our team helps with migration and onboarding so nothing gets lost.

