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Closed beta program playbook covering recruitment, success criteria, communication cadence, and beta-to-GA exit gates.
Passed 11 of 21 test cases with the skill, and 5 of 21 without it.
and 6 more in the full report
7 fixed5 passed either way10 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to roll out a minor refactored UI update for our SaaS billing page using continuous delivery and feature flags across all 50,000 active users. How should we set up a 6-week closed beta program, cohort recruitment templates, and exit decision gates for this continuous rollout?
| Checked | Without skill | With skill |
|---|---|---|
| The response advises against creating a closed beta program for full continuous rollouts. | Missed | Passed |
| The response recommends progressive feature flag delivery instead. | Missed | Passed |
The instructions your model reads when the skill loads.
A structured playbook for running a closed beta that produces clear learning, retained design partners, and an unambiguous decision on whether to proceed to general availability. Most betas fail not because the product is wrong, but because the program is run informally: recruitment is opportunistic, success criteria are implicit, communication is sporadic, and exit gates are never defined. This skill replaces all of that with concrete templates and decision rules.
A good closed beta runs 4-8 weeks, recruits 10-30 participants from three concentric cohorts ("friends, family, fanatics"), publishes a weekly cadence the team commits to, and exits on pre-agreed criteria rather than the calendar. The outputs are a beta program plan, a recruitment script, a weekly cadence template, and an exit memo that either greenlights GA, extends the beta, or kills the feature.
launch-playbook/ and a progressive rollout instead).Before building the beta plan, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 5 / 21 without
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