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Run a beta programme that produces decisions

Beta feedback arrives as Discord fragments and heroic essays from three power users. Two builds later nobody can say whether the friction went down or the testers gave up.

The short way: A per-build feedback loop — stability score, friction points, favourite change — comparable release by release, with every tester's input counted, not just the loudest.

Ready-made templates for this

Prefer to start from a questionnaire rather than a description? These are already written.

Type this — that’s the whole job

“A beta feedback survey for build 2.4: stability rating, any blockers hit, friction encountered, favourite improvement, would they upgrade today”

Build it now — free

Free to start. The Pro plan adds per-build collectors. Compare plans

No setup, no tutorial. The words above go with you — review what the AI builds, then share the link.

How it works — three steps

  1. 1

    Describe the build's changes; the AI drafts the per-release instrument.

  2. 2

    One collector per build keeps each release's results apart, ready to compare.

  3. 3

    A webhook sends each report to your tracker, where blockers reach on-call; the rest feeds the release call.

What’s doing the work

Per-build collectorsPro

Build 2.4 vs 2.5 stability is a chart, not an argument.

Act rules

'Hit a blocker' reaches engineering while the tester's session is still warm.

File uploads

Screenshots and logs attach to the report — repro without the follow-up email.

Questions people ask

Survey per build or one rolling survey?

Per build (duplicate the survey each release) — trends need boundaries, and testers answer 'this build' more accurately than 'lately'.

How do we keep beta testers responsive?

Close the loop visibly: a one-paragraph 'you said, build 2.5 did' note with each release tends to lift next-wave response.

Minutes, not weeks. That’s the deal.

Start free

Free to start. The Pro plan adds per-build collectors.