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ab-readout

Analyze the first-run Builder credits experiment by checking sample balance, group sizes, confidence intervals, and mature cohorts. It helps prepare an evidence-aware readout for onboarding analysis or a weekly radar report, while keeping results associative rather than causal.

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Read the first-run Builder credits experiment output. Use for first-run onboarding experiment analysis or the weekly radar report.

BuilderIO/agent-native7,550 stars(GitHub 7,550 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Reviewing first-run onboarding experiment results
  • Preparing the weekly radar report
  • Checking whether experiment data is mature enough

Files included (1)

  • SKILL.md831 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

A/B readout

  • Run pnpm --filter analytics radar:ab --experiment first_run_builder_credits.
  • Verify the sample-ratio result and each arm's denominator before comparing rates. Under the configured minimum arm size, report not enough data.
  • Read the 95% confidence interval and two-proportion p-value beside the raw counts. D1 and D7 only use mature cohorts.
  • Keep per-app entry denominators separate from experiment-wide exposure counts. State the observation window and note the overlapping Clips recording experiment when interpreting Clips results.
  • Report association only. Do not claim the credits variant caused a change.

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