A/B Hypothesis Validator

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Validation

A/B Hypothesis Validator

Design experiments, calculate statistical significance and document what you learned.

Problem

Most POs don't validate A/B tests statistically. They call winners based on conversion rate alone, ignoring sample size and significance.

Solution

A chi-square calculator with plain-language verdicts — ship / wait / discard — that any PO can use without a stats background.

Impact

Fewer false-positive launches, more confident product decisions, and a team that builds the habit of data-driven validation.

Open the full standalone page (roadmap, demo)