User Research & FeedbackVS Comparison

Canny vs Dovetail: Feature Requests vs Research Repository

Compare Canny and Dovetail for user feedback. One manages feature requests, the other organizes qualitative research.

Quick Verdict

Canny is built for public feature voting and feedback management. Dovetail is designed for qualitative research analysis — interviews, transcriptions, and insight synthesis.

Canny: Use Canny when you want a public-facing feature request portal with voting, changelogs, and transparent roadmap sharing.
Dovetail: Use Dovetail when your team does regular user interviews and needs to organize, tag, and synthesize qualitative research findings.

Side-by-Side Comparison

Canny

Category
User Research & Feedback
Pricing
Free tier, $79+/mo
Best For
Teams building in public with user input
Segment
Mid-Market
Team Size
1–5 to 50–200 people
Top Strengths
Public feature voting, Changelog publishing, Customer feedback portal
Best Roles
IC PMs, Senior PMs, Product Ops
Best Needs
Feedback, Prioritization

Dovetail

Category
User Research & Feedback
Pricing
Free tier, $29+/user/mo
Best For
Teams doing regular qualitative research
Segment
Mid-Market
Team Size
6–20 to 200+ people
Top Strengths
Interview transcription & tagging, Insight synthesis, Research repository
Best Roles
Senior PMs, IC PMs, Group PMs
Best Needs
User Research, Feedback

Scoring Breakdown

Role Fit (avg)
Canny
6.5
Dovetail
6.3
Need Fit (avg)
Canny
3.5
Dovetail
3.3
Team Size (avg)
Canny
7.0
Dovetail
7.4
Budget Fit (avg)
Canny
7.0
Dovetail
7.8
Maturity (avg)
Canny
7.0
Dovetail
7.0
Integration (avg)
Canny
2.5
Dovetail
1.8

Canny

Mid-Market

Feature request management with voting boards, changelogs, and roadmap sharing.

Public feature votingChangelog publishingCustomer feedback portalRoadmap transparency

Dovetail

Mid-Market

Research repository for analyzing interviews, organizing insights, and sharing findings.

Interview transcription & taggingInsight synthesisResearch repositoryTeam collaboration on findings

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