From beta to launch: how to decide your product is ready

How to decide your product is ready to launch after beta: exit criteria, severity thresholds, usage signals, a go/no-go checklist and known issues. By betatest.ing team · October 24, 2026 · 7 min read.

Key takeaways

  • Write the launch criteria before the beta starts; decide against them, not against your mood on launch week.
  • Zero bugs is not a criterion. Zero open critical and high bugs on the core flows is.
  • Behavioral signals (testers returning, completing the core action unaided) matter more than survey scores.
  • Launching with a published known-issues list is normal and honest; launching with unknown issues is the risk.
  • Plan the first week after launch as part of the beta: monitoring, regression runs and a fast-fix path.

In this article

  1. Ready is a decision, not a state
  2. Write the criteria before the beta
  3. Reading the evidence at the end
  4. The go/no-go meeting
  5. Launching with known issues
  6. When to say no-go
  7. When to stop extending
  8. The first week after launch is part of the beta
  9. A short pre-launch checklist
  10. Get the evidence for the decision

At some point the beta has to end and the product has to ship. Teams struggle with this moment in two opposite ways: some launch because a date arrived, with bugs they knew about and criteria they never wrote; others keep extending the beta because there is always one more thing to fix. This article is about making the decision deliberately, with evidence, and about what "ready" realistically means.

Ready is a decision, not a state

No product reaches a state where nothing is wrong. Ready means: the problems that remain are known, acceptable and planned for. That turns a vague feeling into three questions you can answer:

  1. Known: have we tested enough to believe we have found the serious problems?
  2. Acceptable: is anything left that would hurt users or the business badly enough to block?
  3. Planned for: do we know what we will do about the rest, and about whatever launch itself reveals?

The rest of this article is about answering those three.

Write the criteria before the beta

The single most useful thing you can do is decide what "ready" means before you start testing, when you are not yet tired and not yet attached to a date. A short list, written down, agreed by the people who will make the call. For most products it has four parts.

Quality thresholds

  • No open critical bugs anywhere. (Data loss, security, money taken incorrectly, a core flow blocked for everyone.)
  • No open high bugs on the core flows. (Core flow blocked for a significant group, no workaround.)
  • Medium and low bugs: a cap, or simply "triaged and scheduled", not "fixed". A product with forty known low-severity issues can be ready. One with one unknown critical cannot.

Use a severity scale everyone agrees on; the bug severity levels guide has one.

Coverage

  • The core flows pass on the device and browser combinations your customers use (name them).
  • Every user role has been tested, including the lowest-privilege one.
  • Payments tested in test mode through success, decline and authentication.
  • Accessibility basics checked.

Behavioral signals from testers

  • A minimum share of testers completed the core action without help.
  • Some testers came back on a later day without being asked.
  • The questions testers asked are answered somewhere in the product or docs.

Operational readiness

  • Monitoring and error alerting are on in production.
  • Someone owns support for launch week and has the FAQ from beta questions.
  • Rollback is tested.
  • Regression tests run after every deploy.

The beta testing checklist covers the beta side of this list; the free checklist generator can produce a version tailored to your product that you then trim to the criteria that matter.

Reading the evidence at the end

When the beta ends, go through the criteria one by one and mark each pass, fail or partial, with a link to the evidence: the bug tracker filter, the device matrix, the report from your testing tool, the survey results. This is the core of the beta test report, and it is what the decision rests on.

Bugs

Count open bugs by severity. Then look at the trend across rounds: are you finding fewer new bugs per round? A beta where round three found as many new high-severity bugs as round one is telling you the product is not stable yet, whatever the totals say. If the discovery rate has fallen sharply and the remaining issues are medium and low, that is the shape of a ready product.

Behavior over opinion

Survey scores are easy to collect and easy to misread. Testers are polite, and "would you recommend" asked during a beta measures goodwill toward you as much as the product. Weight behavior more heavily:

  • Did testers complete the core action? How many needed help?
  • Did any come back on their own? How many days later?
  • Did any do something you did not ask them to? That is interest.
  • Did any ask about pricing, limits or when it launches? Those are buying signals.

If nobody came back and nobody asked when they could pay, the product may be bug-free and still not ready, in a way more fixes will not solve. Our guide on beta feedback survey questions covers how to ask questions that produce useful answers.

What was not tested

Be explicit. Every beta has gaps: a device you did not have, a role nobody tested, a payment path only in test mode. Write them down. Known gaps are a risk you accept with eyes open; forgotten gaps are the launch-day surprise.

The go/no-go meeting

Keep it short and structured.

  1. The verdict first. The person who ran the beta states the recommendation: go, go with fixes, or no-go, and the three facts behind it.
  2. Criteria walk-through. Each criterion, status, evidence. Disagreements about whether a bug is high or medium get settled here, not in the launch channel.
  3. Known issues list. Everything open that will ship. For each: severity, who it affects, the workaround, the fix date.
  4. Launch-week plan. Monitoring, support owner, regression schedule, rollback trigger.
  5. Decision and date. Written down, with the names of the people who made it.

If the decision is "go with fixes," list exactly which fixes and schedule a regression run after they ship. Do not let "with fixes" become an open-ended extension.

Launching with known issues

Shipping with known issues is normal and, done openly, builds trust. The way to do it:

  • Publish a known-issues list for users, with workarounds, and keep it current. Internally, keep the fix dates.
  • Write release notes that say what is new, what changed and what is still rough. The beta release notes template is a starting point.
  • Make reporting easy from inside the product, with the fields you need (steps, device, expected vs actual).
  • Set a fast-fix path for the first two weeks: a shorter review cycle, a person on point, a rule that regressions are rolled back rather than patched forward in a hurry.

The risk at launch is not known issues. It is unknown ones, and the remedy for those is testing coverage, monitoring and the ability to fix fast.

When to say no-go

Say no-go when:

  • Any critical bug is open, or any high bug on a core flow has no fix in sight.
  • The discovery rate of serious bugs has not fallen across rounds.
  • A core flow failed on a device or role your customers use and you did not re-test after fixing.
  • Monitoring and rollback are not in place. A product you cannot see or undo is not ready regardless of bug counts.
  • Nobody outside the team has completed the core action alone.

A no-go should come with a plan: what changes, how long, and what the next round will test. One more focused round is almost always cheaper than a bad launch.

When to stop extending

Say go, even though things are imperfect, when:

  • Criteria are met or the misses are documented and accepted.
  • Remaining bugs are medium and low with workarounds.
  • New rounds are finding the same kinds of issues, not new serious ones.
  • The team is fixing cosmetic issues because the real ones are gone.
  • You have testers asking when they can pay.

Perfectionism in beta is usually fear of the launch wearing a quality costume. The criteria exist to let you recognize it.

The first week after launch is part of the beta

Plan it as such:

  • Day 0: Smoke test production after deploy. Watch error rates, signups and the core action completion live for the first hours.
  • Days 1–3: Daily triage of incoming reports. Regression run after every fix. Update the known-issues list.
  • Days 4–7: Review what launch revealed that beta did not. Add a regression test for each. Decide whether the next release is fixes-only or features.

Then the beta is over, and the product is maintained like any other: tested after every deploy, with a short regression suite built from the bugs that got through. The regression testing guide describes that routine.

A short pre-launch checklist

  • Criteria written before the beta, reviewed at the end, each with evidence.
  • Zero open critical bugs; zero open high bugs on core flows.
  • Core flows passing on named devices and browsers, for every role.
  • Payments tested in test mode including declines and webhooks.
  • Known-issues list published; release notes written.
  • Monitoring, alerting and rollback tested in production.
  • Support owner and FAQ ready.
  • Regression tests scheduled after every deploy.
  • Decision recorded with names and date.

Get the evidence for the decision

betatest.ing gives you most of the evidence this decision needs: it beta tests your website, web app or mobile app in a real browser and on phones, files bugs with steps, severity, annotated screenshots and recordings, and writes a scored report with coverage you can export to PDF or Excel. Scheduled runs after every deploy mean the criteria you met at launch keep being met afterward.

Start for $1, run the final pass on your core flows, and make the launch call with the report in hand.

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