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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 suits product teams that collect feature requests, run a public roadmap and use AI to capture feedback from support and sales conversations. Pro is $79 a month billed yearly, and lighter changelog tools suit teams that do not need the reporting.

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 lists Free, Pro and Business plans on canny.io/pricing. Figures are USD list prices read from the vendor’s pricing page in November 2026.

Plan / SKUMeterPrice (USD)What stands out
Freeper month$0AI-powered feedback capture for teams getting started
Proper month$79 billed yearlyAdvanced reporting and workflows; connects feedback to revenue
BusinessannualCustom quoteContact sales

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 offers a lighter changelog and feedback widget.
Research repositoriesMixedCanny collects feature requests and does not store research interviews.
Incident on-callPoorCanny does not cover incident on-call.

Review Excerpts

Representative buyer views drawn from public information about Canny. Paid reviews and pay-for-play sites were excluded.

What people like

“Support and sales paste requests into Canny, and product sees which ones come from large accounts.”

Product manager at a SaaS company
Representative buyer view
How it's used

“We keep a public roadmap and changelog so customers can follow what shipped.”

Head of product at a software company
Representative buyer view
What people don't like

“Tracked-user pricing makes costs hard to predict as the customer base grows.”

Founder of a software company
Representative buyer view

Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.

Based on: Canny’s pricing page

Company Facts

Founded
2015 (CB Insights)
Headquarters
San Francisco, California, United States (CB Insights)
Key investors
Founder Institute 50 LatAm, Founder Institute Waterloo (CB Insights)
Website
canny.io

Key Leadership

Sarah Hum

Sarah Hum

Co-founder

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 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 use-case matrix 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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