How Findry compares to Productboard.
Every other tool tells you what to build. Findry proves whether you should have — and whether the bet paid off. Productboard added Spark, an AI roadmap assistant at $15/maker. Findry closes the loop Spark doesn't open: the significance-tested verdict on whether your bet delivered.
Productboard
- Feedback aggregation at scale — customer portal, Slack integration, CRM sync; still the best place to collect and triage feature requests
- Roadmap communication — stakeholder-facing roadmap views that connect strategy to delivery timelines
- Spark AI roadmap assistant — AI-generated roadmap suggestions, prioritisation recommendations, and idea synthesis ($15/maker/month)
Findry
- Hypothesis state machine — observations become falsifiable claims with RESEARCHING → VALIDATED → INVALIDATED lifecycle, not just idea cards
- Structured predicted-impact bets — lock a metric, direction, magnitude, and confidence interval before shipping; Findry holds you accountable
- Significance-tested predicted-vs-actual outcome — Findry runs the verdict when results are in: HIT, MISS, or INCONCLUSIVE with a causal-credibility tier
- Traversable evidence chain + Pulse — stakeholders get a share link that walks signal → hypothesis → bet → outcome, with passcode + audit trail
Side by side.
Pick Productboard / Spark when your team needs large-scale feedback intake from customers, a polished roadmap to communicate to stakeholders, or an AI assistant that turns priorities into roadmap suggestions. It's the right tool if the problem is “we need a single place for all feature requests and a roadmap that looks good to execs.”
Pick Findry when you want to prove the bet paid off — when shipping is not the finish line and you need significance-tested evidence that your prediction was correct. Best teams capture signals in the field, form hypotheses, lock a predicted impact before building, then close the loop with a verdict and share it with stakeholders via Pulse. That's the half of the loop Spark doesn't build.
Free during private beta