What Dovetail is
A platform for customer evidence. Interview transcripts, survey results, support tickets and research notes go into one repository, and AI helps analyse them and answer questions against them.
The structure is assemble, analyse, act: collect the material, make sense of it, then do something with it.
What you can do with it
- Store interviews, surveys and feedback in one repository
- Tag and code qualitative data
- Ask questions across past research
- Summarise a batch of feedback
- Generate documents from the analysis
- Share findings with the wider team
Who it is for
- Product teams making decisions from user evidence
- User research teams
- Customer success teams tracking recurring issues
- Operations analysts
What to watch out for
- Conclusions are only as good as the original research design and feedback quality
- Customer comments often contain personal data, so access and retention need rules
- AI summaries should be checked against source quotes
- A repository without an owner fills up and stops being useful
Pros & cons
✓ What we like
- One place for scattered customer evidence
- Searchable history of past research
- AI analysis speeds up coding
- Built around acting on insight
! What to watch out for
- Depends on the quality of what you feed it
- Needs an owner or it becomes a dumping ground
FAQ
What does it handle?
Customer feedback, research data and user insight.
What does the AI actually do?
It helps with sorting, summarising, analysing and sharing rather than producing a single summary.
Who is it for?
Product, research and customer-facing teams.
Last reviewed: 2026-09-15
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