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Canny

Customer feedback and changelog platform that uses AI to cluster requests from sales and support conversations so product teams can prioritize what to build next.

7.6/10
Overall Score
Recommend

Canny is a strong feedback-board pick when AI clustering of sales and support requests matters with a public roadmap and changelog. Clarity earns Recommend versus lighter boards.

Best for

Product teams that want a feedback board, public roadmap, and changelog with AI help reading sales and support conversations.

Not ideal for

Teams that only need a minimal changelog widget, or buyers shopping for a full research repository or survey lab.

Verdict

Canny is a good fit when the bottleneck is turning customer requests into a prioritized roadmap. Practitioners like the feedback-to-changelog loop; buyers who only need a simple release widget may still prefer Frill.

Score Breakdown

How Canny scores in the categories that matter to its buyers.

Buyer outcomes

Feedback board & voting
8.0
AI request clustering
7.9
Changelog & roadmap publishing
7.8
Lightweight changelog-only UX
7.0

Company & commercial

Innovation & product leadership
7.7
Project management & communication
7.5
Pricing
7.6
Contract fairness
7.4

Pricing

Canny publishes Free through Business-class plans on canny.io/pricing. Figures below are USD list signals commonly reported for 2026; confirm seats and AI features on live checkout.

Plan / SKUMeterPrice (USD)What stands out
Freeper month$0Starter board
Growthper monthPublished mid tierChangelog; roadmap
Businessper monthHigher publishedAI assists; admin
EnterpriseannualCustom quoteSSO; security path

The Field at a Glance

How Canny compares with other AI changelog & feedback boards vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost Featurebase Nolt Frill Canny 7.6
Canny Featurebase Nolt Frill

Canny scores 7.6 in AI changelog & feedback boards, ahead of Featurebase (7.2), Nolt (6.8), and Frill (6.7). Relative cost lands mid-band on published plans.

Use-case matrix

Use caseFitNotes
Feedback boardsStrongCore Canny motion.
AI clustering of requestsStrongDifferentiation path.
Changelog publishingStrongCommon buyer story.
Minimal release widgetsMixedFrill lighter.
Research repositoriesMixedWrong subcategory.
Incident on-callPoorWrong subcategory.

Who it’s for

Good fit

  • Product teams prioritizing feature requests
  • Buyers who want roadmap plus changelog
  • Orgs comparing AI feedback boards

Poor fit

  • Teams that only need a tiny release widget
  • Buyers centered on UX research labs
  • Orgs shopping for form builders alone

Review Excerpts

Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.

What people like

“Sales call themes finally showed up next to votes on the board instead of dying in Slack.”

Practitioner · r/ProductManagement
What people like

“Changelog posts and the roadmap stayed tied to the same request backlog.”

Practitioner · r/ProductManagement
What people don't like

“If you only need a simple release popup, a lighter tool may be enough.”

Practitioner · r/ProductManagement
How it's used

“We collect votes, cluster themes with AI, and publish changelog updates when we ship.”

Practitioner · r/ProductManagement

Methodology

This page is an independent evaluation of Canny for buyers comparing options in ai changelog & feedback boards. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Canny did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.

  • Buyer outcomes (for ai changelog & feedback boards)
    • Feedback board & voting
    • AI request clustering
    • Changelog & roadmap publishing
    • Lightweight changelog-only UX
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Canny is graded here as ai changelog & feedback boards. Criteria scores can move as more review volume and product checks are added.

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