Signal Brief
Feedback and roadmap· pricing · free to read

Productboard Spark pricing: $12,000–$24,000/year for a 20-person team

How much does Productboard Spark cost?

$12,000–$24,000/year for a 20-person product team

Checked 19 October 2026 · buyer-reported, not vendor-published · 20 seats

Productboard Spark costs $12,000–$24,000/year for a 20-person team (20 seats), checked 19 October 2026 — buyer-reported, not vendor-published.

Productboard publishes no seat price today. productboard.com/pricing, read 19 October 2026, shows two tiers — Business behind “Request demo” and Enterprise behind “Contact sales” — and carries no seat rate anywhere on the page; the $59 per maker per month Pro rate this row was built on is no longer there. Spark ships in both tiers, but SAML SSO, SCIM and data governance are Enterprise-only, so a 20-person org with about 10 makers lands on Enterprise, which has a 5-maker minimum. Resellers and buyers report roughly $12,000–$24,000 a year for 8–12 makers, with Vendr reporting a median near $23,000 — a buyer-reported band, never a Productboard figure.

Re-read and re-verified 19 October 2026 against https://www.productboard.com/pricing · Researched for issue #015 · Friday, 2 October 2026· no sponsorship, no affiliate links

What does Productboard Spark cost for a 20-person team?

$12,000–$24,000/year a year at 20 seats, checked 19 October 2026 — buyer-reported, not vendor-published. Productboard Spark — An AI agent inside Productboard that reads feedback, drafts discovery documents, links insights to features, and answers questions about your product data. It changes the weekly job of reading hundreds of feedback notes and turning them into a prioritised, evidence-linked roadmap item you can defend to stakeholders.

Does Productboard Spark publish pricing?

Not for this tier. The figure above is buyer-reported — what buyers, resellers and third-party trackers say a 20-seat team pays — not a number Productboard Spark publishes.

The full Productboard Spark page — verdict, SSO and data handling, every issue it ran in →
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