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Found 3 Skills
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
Design AE/TE A/B experiments from a business goal through a reviewable draft. Use when the user asks to form an experiment hypothesis, assess metric readiness, choose or create metrics and Features, design groups or traffic, estimate sample size or duration, create an experiment draft, or run readiness and conflict checks. SDK guidance is a conditional branch: enter it only when the user explicitly asks about an A/B experiment SDK, client SDK integration, experiment SDK code generation, or SDK troubleshooting; do not include SDK work in an ordinary experiment-design or draft-creation request.
Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.