Scale research impact with AI
Scale insight without slowing down
Spend time on the work that matters most
Automate repetitive tasks like tagging, identifying themes, and summarising data, so you can act on insights faster.
Let stakeholders find answers without asking
Dovetail lets teams self-serve insights, reducing repeated requests so researchers can focus on impactful work.
Increase visibility and research impact org-wide
Generate summaries, synthesize findings, and create stakeholder-ready briefs automatically.
Turn raw data into structured summaries
Use AI-powered frameworks to structure findings and create clear, repeatable summaries your team can trust.
- Figma
Design with real customer context. The Dovetail connector for Figma Make lets you pull in quotes, feedback, and insights so your prototypes reflect exactly what users want.
- ChatGPT
Bring your customer feedback into ChatGPT and turn insights into product decisions without leaving the conversation.
- Linear
Create and link Linear issues directly to your customer feedback in Dovetail. Share highlights, insights, and themes with rich previews so your team has full context to prioritize work.
- Alloy
Turn feedback into interactive designs instantly. Dovetail insights flow directly into live, testable prototypes, skipping static PRDs, decks, and delays.
- Jira
Move from insight to implementation faster. Send Docs to Jira, share context with your team, and keep the customer voice embedded in every decision.
- Slack & Teams
Bring customer feedback directly into decision-making by talking to your data in Slack and Teams. Sync messages, share content, get updates, and respond in real time.
Discover all integrations
Practical ways research teams use Dovetail
Analyze user research sessions in detail, uncovering themes, behaviors, and insights across interviews and studies.
FAQs
No. Researchers remain in control. AI accelerates synthesis and surfaces patterns, but findings are always grounded in real, citeable evidence.
Yes. It's built to analyze and structure high volumes of interviews, surveys, and qualitative data at scale.
Yes. Natural-language search and summaries make research explorable for non-researchers, while permissions maintain control.
It doesn't just store studies—it continuously analyzes incoming data and surfaces emerging themes automatically.
Yes. Track sentiment, themes, and patterns across customer groups or release cycles in real time.