trustworthy-experiments

SKILL.md

Trustworthy Experiments is a framework for running controlled experiments (A/B tests) that produce reliable, actionable results. The core insight: most experiments fail, and many "successful" results are actually false positives.

The key shift: Move from "Did the experiment show a positive result?" to "Can I trust this result enough to act on it?"

Ronny Kohavi, who built experimentation platforms at Microsoft, Amazon, and Airbnb, found that:

Úselo cuando se le solicite "realizar una prueba A/B", "diseñar un experimento", "comprobar la significancia estadística", "confiar en nuestros resultados", "evitar falsos positivos" o "barandillas de experimento". Ayuda a diseñar, ejecutar e interpretar experimentos controlados correctamente. Basado en el marco de Ronny Kohavi de "Experimentos controlados en línea confiables". Fuente: wdavidturner/product-skills.

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