How Findry compares to Dovetail.
Dovetail is the research repository. Findry is the decision platform — and the verdict machine. Different jobs: Dovetail stores and synthesises your qualitative evidence; Findry turns it into falsifiable hypotheses, locks a predicted impact before you ship, and closes the loop with a significance-tested verdict on whether the bet paid off.
Dovetail
- Industry-leading qualitative research repository — interview transcripts, themes, tags, AI-assisted synthesis
- Tight loop with research workflows: scheduling, transcription, video clipping, insight reels
- Best-in-class taxonomy and tagging for cross-study pattern recognition
- Designed for researchers and PMs collaborating on user understanding
Findry
- Hypothesis state machine — research insights become falsifiable claims with a lifecycle, not just tags
- Bets carry structured predicted impact and link back to the signals (including Dovetail insights) that informed them
- Outcomes integration with PostHog · Amplitude · Mixpanel · GA4 — quantitative verdicts on qualitative bets
- Pulse: stakeholder-facing chain that traverses signal → hypothesis → bet → outcome, with revoke + audit
Side by side.
Pick Dovetail when your research team produces a high volume of qualitative work — user interviews, usability sessions, customer calls — and you need a place to store, tag, and synthesize across hundreds of studies. Dovetail is where the raw research lives.
Pick Findry when you want the research insights to do something — to become falsifiable hypotheses, then bets, then closed-loop outcomes. Best teams use both: Dovetail insights flow into Findry signals (via Custom Webhooks on Pro and above), and Findry tracks what was decided, what shipped, and whether it worked.
Free during private beta — Dovetail webhook on Pro+