Four tools that all sit between customer signal and the roadmap, priced on four completely different things: the customers you track, the people on your team, the makers who write specifications, and the AI credits they consume. Captured 21 October 2026, one compliant fetch each, with robots.txt tested against every path first.
Canny bills on your customers. Its entry paid plan is $79/month billed yearly, and the thing that moves the price is the number of users you track feedback from, which starts at 25 tracked users on the free plan and 100+ tracked users on Pro. The vendor's own selector runs from 25 to 5k plus, and above that sits its Business plan, which is quoted. If you have a large installed base and a small product team, this is the one where the bill is not driven by your headcount.
Linear bills on your team, and only on the plans: $10 per user per month on Basic and $16 per user per month on Business, billed yearly. Its free plan is the curiosity of this census, $0, unlimited members: 2 teams and 250 issues, not members. The limit is scope of work, not people, and that is a deliberate shape.
Productboard bills on makers, contributors and now on AI credits. The plan prices are not in the document we fetched, so this page has none for it; what is in the document are the allowances: 500 credits per maker per month, 1,500 base plus 800 per additional maker on Enterprise, 5 makers, 25 contributors on Business, and $5 for a 50-credit bundle for top-ups on monthly plans. In 2 currency figures on a whole pricing page, both are credit bundles.
Sprig bills a negotiated enterprise agreement. Its pricing page calls itself an enterprise survey platform, serves 3,668 characters of text and contains 0 currency figures. There is no number here to compare, and no reason to invent one.
Last verified 2026-10-21. Plans move and prices follow usage bands; confirm current rates before you quote this page.
Captured 21 October 2026, one compliant fetch each, robots.txt tested against the exact path first. "Published" means the figure is in the document the server sent, whether in visible copy or in the vendor's own structured price data.
| Vendor | The meter | Price published | Entry published | What moves the bill | Where the number stops |
|---|---|---|---|---|---|
| Canny | users you track feedback from | Yes | $0/month free, $79/month Pro | How many of your customers it watches | its Business plan, which is quoted above Pro |
| Linear | Seats, on paid plans only | Yes | $0, unlimited members | How many people on your product team | Nothing stops: three tiers, all priced |
| Productboard | Makers, contributors and AI credits | no | $5 for a 50-credit bundle in credit top-ups | How much AI work your makers do | Plan price not in the served document |
| Sprig | Respondents reached and studies run | 0 figures | none | Panel and research volume | Enterprise agreement |
| Count | 4 meters, 4 different units | 2 of 4 publish a plan price |
Icons collected from each vendor's own site on 21 October 2026. The line under each name is the unit on the invoice, which is the only fair way to put these four next to each other.
A 20-person team with 5,000 customers gets four different-shaped bills from these four pages.
Logos 4 of 4 tiles: each icon is the vendor's own declared site symbol, fetched once from the page the prices come from, normalised to PNG and hashed in the arm's logo-manifest.json. Trademarks belong to the vendors and are used here to identify them. No third-party logo source, and no logo where the vendor was not collected.
Columns one to three are quoted from the vendor. The last column is ours: published price divided by published allowance, or published price multiplied by a stated team size, with the operation shown.
| Vendor | Plan or unit | Published | Our arithmetic |
|---|---|---|---|
| Canny | Free | $0/month, 25 tracked users | |
| Canny | Pro | $79/month, billed yearly, 100+ tracked users | $0.79 per tracked user at the Pro floor |
| Canny | Business | its Business plan, which is quoted | not computable |
| Linear | Free | $0, unlimited members | $0 for a team of any size, within 250 issues |
| Linear | Basic | $10 per user per month, billed yearly | $200 per month at 20 seats |
| Linear | Business | $16 per user per month, billed yearly | $320 per month at 20 seats, 60 percent above Basic |
| Productboard | Credit top-up, monthly plans | $5 for a 50-credit bundle | $0.10 per credit |
| Productboard | Credit top-up, annual plans | $60 a year for 600 credits | $0.100 per credit |
| Productboard | Business allowance | 500 credits per maker per month | $5.00 of top-ups to analyse 100 more feedback items |
| Productboard | Enterprise allowance | 1,500 base plus 800 per additional maker | |
| Productboard | A written specification | 50 to 200 credits of credits | $20.00 of top-ups at the monthly bundle rate |
| Sprig | Plans | 0 currency figures on the page | not computable |
The units differ and the chart says so in each label; that is the point. Per-user bars are not comparable to flat bars, and a credit bundle is not a plan price.
Canny is the only vendor here that bills on how many of *your* users it watches: 25 tracked users on free, 100+ tracked users at the Pro floor, and a selector that runs 25 to 5k plus. At the published Pro floor that is $0.79 per tracked customer per month. For a company with a big installed base and a small team, this is the expensive meter; for a team of forty watching two hundred customers, it is the cheap one.
Linear's free plan is $0, unlimited members with 2 teams and 250 issues, not members. The interesting part is what is unlimited: the members. You can put the whole company on it and pay nothing, and you will feel the ceiling in teams and issue history rather than in seats.
Productboard says a specification 50 to 200 credits and a hundred feedback items around 30 to 50 credits, and sells $5 for a 50-credit bundle bundles. That gives a genuine marginal cost, $20.00 of credits per specification, with no plan price to put beside it. You can budget the AI usage before you can budget the software.
Sprig calls itself an enterprise survey platform and serves 0 currency figures. Productboard's page carries 2 currency figures, both of them credit bundles. Publishing a price is a mid-market behaviour: the closer a vendor is to an enterprise negotiation, the less a page tells you.
Tracked usersPrice publishedBusiness quoted
A feedback hub: capture requests from support, sales and a public board, deduplicate them, and let customers vote, so the roadmap is driven by a ranked list rather than the loudest voice in a Slack thread.
$0/month on the free plan with 25 tracked users, and $79/month billed yearly on Pro, which also appears in the vendor's structured price data as USD. Pro starts at 100+ tracked users; above that is its Business plan, which is quoted.
The page defines it as a question to the buyer: users you track feedback from. The selector runs 25 to 5k plus, and the vendor tells you to start low and scale up. At the published Pro floor of $79/month, 100+ tracked users tracked users works out at $0.79 per tracked customer per month.
Teams whose problem is that they cannot see what customers are asking for, and whose tracked-user count is bounded enough to forecast.
Per user per monthAll tiers publishedFree plan with unlimited members
A product development tool for issues, projects and roadmaps, positioned as the execution layer that product teams work in rather than the intake layer.
$0, unlimited members with 2 teams and 250 issues, not members; $10 per user per month on Basic and $16 per user per month on Business, both per user per month billed yearly. Business adds unlimited teams, private teams and guests.
Twenty people on Basic is $200 a month; on Business, $320, which is 60 percent above the Basic seat. And a twenty-person team on the free plan pays nothing, until the issue or team limits bite.
Product teams that want the roadmap and the backlog in one tool, and a price they can read without asking anyone.
Makers, contributors and creditsAllowances published, prices not
Product management infrastructure: feedback in, prioritised ideas, roadmaps, and AI-assisted documents and specifications built from that context.
no. The page publishes allowances and top-ups, not plan prices: 500 credits per maker per month on Business, 1,500 base plus 800 per additional maker on Enterprise, and top-ups of $5 for a 50-credit bundle or $60 a year for 600 credits. Plan prices appear only after the page's client-side code runs, which is outside what we fetch.
The vendor states the exchange rate of work to credits: analysing a hundred feedback items around 30 to 50 credits, and a comprehensive specification 50 to 200 credits. At the monthly bundle that is $0.10 a credit, so a specification costs about $20.00 of top-ups and a batch analysis about $5.00. Annual bundles are cheaper per credit at $0.100.
Product organisations with several PMs who need shared prioritisation infrastructure, and who will actually consume the AI work rather than trial it.
Studies and respondentsNo published figuresEnterprise positioning
In-product research: surveys and studies delivered at the right moment in a web or mobile experience, with an AI analysis layer, sold to research and product teams at scale.
There is nothing to report. The pricing page titles itself an enterprise survey platform, serves 3,668 characters of server-rendered text and contains 0 currency figures. Whether the numbers exist behind client-side code or only in a negotiation, we cannot tell from a compliant fetch, and we do not guess.
Sprig is the clearest illustration of the pattern in this category: the more the purchase is a research programme (participants, studies, panel access) rather than a seat count, the less likely a page is to carry a price. It is not a transparency failure so much as a category shape.
Teams whose bottleneck is hearing from customers who never write in, and who buy research capability rather than software seats.
| Situation | Start here | Why |
|---|---|---|
| Customers ask for things in five places and nobody knows | Canny | Capture and dedupe is the product, and $79/month is a published number |
| A large installed base and a small product team | Linear | Seats are the meter; tracked customers are not |
| A small installed base with heavy customer feedback | Canny | The meter matches where the work actually is |
| Product team of twenty wants one budgeted line | Linear | $200 to $320 a month, both published |
| Whole company needs read access to the roadmap | Linear or Productboard | Linear's free plan is $0, unlimited members; Productboard counts 5 makers, 25 contributors on Business makers separately from contributors |
| PMs writing specifications with AI | Productboard | It is the only vendor here that prices the AI work in stated units, even without a card |
| You need to know why users churn, not what they request | Sprig | Primary research, not a feedback board |
| Pilot with no budget approval | Linear free or Canny free | $0, unlimited members versus $0/month with 25 tracked users |
| Procurement wants the number in writing before a demo | Linear | The only complete published ladder in the census |
If nobody on your team reads feedback as a job rather than a chore, a feedback tool makes the backlog louder, not better. The failure mode in this category is a hub full of untriaged requests and a roadmap that still gets decided in a meeting. Fix the process, and you may find the spreadsheet you already have was enough.
If you have fewer than about a hundred active customers giving signal, a free plan is genuinely permanent here. Two of these four give you one, and Linear's does not even cap your headcount.
And if the real gap is that you do not know what to build because you have never asked, an intake tool will not ask for you. That is research, and it is a different purchase from software. The most quotable number in this census is also the cheapest to act on: a hundred feedback items around 30 to 50 credits credits of analysis, which is not nearly as important as deciding what you will do about them.
$0/month on the free plan with 25 tracked users, and $79/month per month billed yearly on Pro, which starts at 100+ tracked users. its Business plan, which is quoted above that.
Your customers, not your team. The page asks users you track feedback from and the selector runs 25 to 5k plus. At the published Pro floor that is about $0.79 per tracked user per month.
$10 per user per month per user per month on Basic and $16 per user per month on Business, billed yearly, with a $0, unlimited members free plan. Twenty seats is $200 or $320 a month.
Yes, and unusually: 2 teams and 250 issues, not members. Any number of members, but the work is capped rather than the people.
This census cannot say. The served page has 2 currency figures and both are credit bundles: $5 for a 50-credit bundle on monthly plans, $60 a year for 600 credits on annual ones. Plan prices are rendered client-side, which a compliant fetch cannot read.
Between $0.10 and $0.100 per credit depending on bundle, which puts a written specification at roughly $20.00 of top-up credits and a hundred-item analysis at $5.00.
Not in the document we fetched: 0 currency figures on a page titled an enterprise survey platform.
On published numbers, Linear: $200 a month on Basic. Canny's price does not depend on your team size at all, so the question does not have a single answer across meters.
We do not resell product management tools. We publish censuses like this one because a buyer who can read a price is a buyer who can make a decision, and because what a page does and does not put in its HTML is exactly what our extractability audit measures.
Founders. Decide which meter you are buying. If your bill scales with customers, Canny's model is the one to forecast from product data; if it scales with headcount, Linear's is the one to put in a plan.
Product leaders. Two of these four vendors publish a plan price. If you are comparing four tools in one spreadsheet column and one of them is Sprig, the spreadsheet is wrong, not the tools.
Product operations. If you adopt an AI-assisted roadmap tool, ask what one task costs. Productboard answers it in public: 50 to 200 credits per specification. That number belongs in your rollout plan next to the seat count.
Researchers and journalists. The quotable object here is the meter mismatch: within one category, four buyers with the same team size get a bill driven by customers, seats, makers plus AI credits, or respondents reached. Every figure traces to a captured document with a hash printed below.
Four vendor pricing pages were captured on 21 October 2026, one compliant HTTP fetch each, after reading every host's robots.txt and testing the exact target path against the User-agent: * block. Every path was allowed for non-search agents; the per-host check is recorded in the collection protocol at docs/plans/vendor-comparisons-protocol.md in the DataDab repository.
What counts as published. A figure is published when it appears in the served document, either in visible copy or in the vendor's own schema.org price data. Canny's Pro price appears in both, and we record both. Productboard's plan prices and Sprig's appear in neither, and we record that instead of substituting a number from a review site.
Our arithmetic is labelled. Where a cell says ours, it is derived from two published figures by the operation printed in the methodology table of the audit file: price divided by allowance, or price multiplied by a stated team size. Those cells are the only numbers on this page a vendor did not write.
Minimums and units. This census records the billing unit next to every price, because the unit is the finding. A price without its meter is marketing copy.
No vendor paid for inclusion, and none saw this page before publication. If a figure has moved, the corrections address in the cite box is real and changes are dated on the page.
| Vendor | Page captured | Retrieved | SHA-256 (first 12) |
|---|---|---|---|
| canny | https://canny.io/pricing | 2026-10-21 | db9a22d3e5a8 |
| linear | https://linear.app/pricing | 2026-10-21 | 7286e2628470 |
| productboard | https://www.productboard.com/pricing/ | 2026-10-21 | cc664cf83a55 |
| sprig | https://sprig.com/pricing | 2026-10-21 | de1df4da03f7 |
Covering this research? Please link the primary source so readers can verify the data and methodology:
Markdown: [Canny vs Linear vs Productboard vs Sprig: Four Meters for the Same Product Decision | DataDab Research](https://www.datadab.com/research/canny-vs-linear-vs-productboard-vs-sprig)
Spot an error? Send the URL to amit@datadab.com; corrections are published on the page.
This page is re-verified quarterly. Check the methodology section for the current verification date before quoting figures.