Canny vs Productboard

Canny and Productboard both promise to turn customer requests into a roadmap, and buyers shortlist them together for that reason. They are metered on opposite sides of the same problem. Canny charges for the people who give feedback — 25 tracked users free, then a ladder that reaches $1,079/month at 5,000 — while your PMs sit on free seats. Productboard charges for the people who act on feedback — $19 to $59 per maker per month plus AI credits — while feedback volume itself is unmetered from Business up. Their AI points in opposite directions too: Canny’s Autopilot works the inbox, Productboard’s Spark works the PM’s desk. Decide which of those two jobs is actually your bottleneck and the pricing question answers itself.

Where Canny wins

• The intake AI is unmetered on every plan, including free. Autopilot captures, deduplicates, and auto-groups feedback with no credit counter behind it. Its 2026 additions widened the capture surface: Fathom and Grain call capture on 30 July, Fireflies.ai on 11 August, and @Canny mentions inside any Slack thread on 13 August. Productboard’s equivalent analysis draws down credits every time it runs.
• A public voting board that scales to your whole user base at no extra seat cost. Unlimited boards, unlimited feedback, unlimited contributor seats, and a native changelog with subscriber emails. Productboard’s Product Portal is capped at 1 on Free and 2 on Business, and its contributor seats stop at 25 until Enterprise.
• Feedback that carries opportunity value. Since 10 June, Autopilot links open Salesforce and HubSpot opportunities to the feedback it captures, so a request arrives weighted by the deal attached to it rather than by vote count alone. Both vendors gate CRM behind their top tier, but Canny’s is a Business quote against an already-published ladder; Productboard’s Salesforce integration sits on Enterprise with a 5-maker minimum.
• Agent access two tiers cheaper. Canny’s MCP server passed 55 tools on 11 June — move_idea, create_insight, link_opportunity, portal comment management — and it ships on Pro at $79/month. Productboard’s MCP server and connectors start on Business, which is $118/month before you add a third maker.
• PM headcount is free. Pro includes 10 manager seats and unlimited contributors. Adding three PMs to Canny costs nothing; adding three makers to Productboard Business costs $177/month.

Where Productboard wins

• Spark does product work, not just triage. The Specification tab (19 May) drafts specs collaboratively on initiatives and features; system skills cover spec generation and competitive analysis; and since 12 August the MCP server creates and edits objectives, key results, initiatives, components, and features programmatically. Skills are reusable instructions you write once, upload as .skill packages, or generate with /create-skill. Canny triages the inbox and stops there — nothing on this axis exists in its product.
• An actual prioritization model. Custom prioritization formulas, feature and objective hierarchies, dependency tracking, release planning, and timeline or column roadmaps. Canny gives you statuses on a board and a vote count. If your argument for a quarter has to survive a steering committee, Canny hands you raw demand and Productboard hands you a scored, structured plan.
• Usage data sits next to the request. Amplitude and Mixpanel integrations land on Plus, and Spark’s MCP connectors reach Amplitude, Pendo, Hex, Linear, and Notion, with a GitHub connector added 20 July. You can weigh a loud request against whether anyone uses the adjacent feature. Canny weighs by votes and, on Business, by pipeline.
• The handoff to engineering agents is native. The 4 June MCP server pulls a spec and its comments straight into Claude Code, Codex, or Cursor with the surrounding context intact. Canny’s MCP surface is built around feedback objects, not specs.

Pricing reality

Canny publishes its whole ladder. Free is $0 for 25 tracked users and 5 managers. Pro billed annually runs $79/month at 100 tracked users, $279 at 500, $529 at 1,000, $829 at 2,500, and $1,079 at 5,000; month-to-month is roughly 25% higher ($99, $349, and $661 at the first three rungs). Above 5,000 you are on a Business quote. A tracked user is anyone who posts, votes, or comments — including users Autopilot discovers on your behalf — and Canny’s own planning number is that 1-5% of a B2B SaaS user base becomes tracked.

Productboard charges $0 Free, $19 per maker/month annually ($25 monthly), $59 per maker on Business ($75 monthly), and a custom Enterprise price with a 5-maker minimum. Annual billing saves 21%. AI credits ration the part that matters: 50 per month workspace-wide on Free, 250 per maker on Plus, 500 per maker on Business, and 1,500 base plus 800 per additional maker on Enterprise. The vendor’s own conversion rates are the number to model — analyzing 100 feedback items costs 30-50 credits and drafting a full specification costs 50-200. A team processing 5,000 feedback items a month burns 1,500-2,500 credits on triage alone, which is three to five makers’ entire Business allotment before anyone writes a spec. Top-ups run $5 per 50 credits monthly or $60 per 600 annually — $0.10 a credit either way.

The crossover is sharp. Five PMs and 500 feedback-givers costs $3,348/year on Canny Pro against $3,540/year on Productboard Business — within 6%, so price routes nothing there. Below that scope Canny is 3-4× cheaper (a five-PM team at 100 tracked users pays $79/month versus $295). Above it, the curves invert: at 5,000 tracked users Canny is $12,948/year while Productboard’s five makers stay at $3,540 no matter how much feedback arrives. At procurement scale both converge anyway — Vendr’s data puts Canny’s median contract at $20,000/year and Productboard’s average at $24,280 across 191 deals, ranging $7,728 to $78,666 with an average 21% saved off list.

Implementation effort

Canny is a days-long setup: a board, the widget, one capture integration. The trap is billing, not configuration. Users that Autopilot discovers count toward your tracked-user limit, and crossing the limit auto-upgrades you to the next rung with a prorated charge unless you have set a monthly spend limit. Turning on Fireflies and Fathom capture across a sales team can move a rung in a week. Set the spend limit before you enable call capture, not after the invoice.

Productboard is weeks. You are defining teamspaces, an objective hierarchy, a prioritization formula, and segments, then teaching Spark enough context to be worth its credits. Use the 14-day Business trial deliberately: it runs with unlimited AI credits, which makes it the only unmetered read you will get on your real burn rate — pipe one honest month of feedback through it and count. Two contract details deserve attention. Productboard’s pricing page contradicts itself on the Business minimum, stating 2 makers in one block and 5 in another, so get the number written into the order form. And the April 2026 AI-only pivot cut more than 30% of the company, weighted toward sales and customer success, with live onboarding now an Enterprise-only line item — ask for support response commitments in the order form rather than the deck.

If you end up running both, note that neither vendor’s integration directory lists the other. The bridge is Linear or Jira, which both sync to natively, and you have to name one of the two as the owner of the request object or you will maintain two backlogs by hand.

Bottom line

• Pick Canny when collection is the bottleneck: feedback arrives from customers across support, calls, and Slack, you want it deduplicated and shown back publicly on a voting board and changelog, and your PM team is small. It is also the right pick when the feedback program is community-facing, since the public surface costs nothing per participant.
• Pick Productboard when deciding and writing is the bottleneck: you need a prioritization formula that survives review, objectives tied to features, usage data next to requests, and specs that flow into Cursor or Claude Code. Pay for makers, not for the crowd.
• Pick neither if you have two or three PMs and feedback arrives in one channel — Linear plus a shared doc covers it, and both tools’ floors are real money against that. If you already own Pendo, its in-app feedback covers the intake job you would be buying Canny for. If your engineering org lives in Jira, evaluate Jira Product Discovery before Productboard; it prices per creator on the same logic and inherits your existing permissions.

Choosing with no clear condition on either side: pick Canny. It is cheaper to be wrong by an order of magnitude at small scope, and it fails in the recoverable direction — a year of deduplicated, revenue-linked feedback exports cleanly into a Productboard workspace later, whereas a prioritization model built on thin intake has nothing underneath it. Switch when you can name the prioritization formula you want to run, when writing specs rather than collecting requests is what your PMs are short on, or when tracked users pass roughly 1,000 and the meter starts working against you.