Tools & Lessons for Better Experiments

Power Planner

Compare multiple experiment scenarios and see how sample size and metric type affect statistical power.

See how prioritizing experiments using imperfect human intuition leads to faster cumulative gains.

See how low power inflates false positives, sign errors, and effect exaggeration.

What changes when you run more experiments?

When should you call a test, and how much speed can you trade for honesty?

Learn how power affects your experiments.

Not significant? Just press the button.

Seven ways to test the same set of ideas — and what each one costs.