Prioritize with confidence. Build with clarity.
Build on evidence, not opinion
See demand, trends, and impact clearly
Automatically categorize and cluster feedback to highlight the most frequent requests and important trends.
Build stronger cases and align stakeholders
Link initiatives directly to real customer evidence to guide priorities and align stakeholders.
Act on issues before they affect revenue
Surface recurring complaints and sentiment changes across channels in real time.
Get automatic alerts without extra work
Receive summaries and alerts automatically to stay informed without extra reporting.
- 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 product managers use Dovetail
Prioritize initiatives using quantified feedback themes. Ensure decisions reflect actual customer needs and patterns.
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Take the quizFAQs
It automatically clusters and quantifies feedback across channels, helping you see demand, frequency, and emerging patterns—so roadmap decisions are evidence-based.
Yes. AI-powered search and summaries make it easy to explore customer intelligence without relying on research teams.
No. It complements quantitative analytics by explaining the "why" behind behavior through qualitative insight.
AI detects repeated complaints, negative sentiment shifts, and recurring friction patterns across support and feedback channels.
Yes. Generate executive-ready summaries grounded directly in customer evidence in minutes.