Data Science
Power Analysis
Power analysis is a planning step that estimates how many visitors you need to run a fair test. It uses your current performance and the smallest change you care about to compute a sample size. With the right sample size, you reduce the chance of drawing the wrong conclusion. This prevents tests that are too small to be useful or longer than needed. Example: If your sign‑up rate is 5% and you care about a 7% relative lift, power analysis tells you roughly how many visitors to collect before deciding.
Read the full guide
Go to our complete guide to learn everything you need about
Power Analysis
