A/B test design and readout agent

Test setup and result interpretation are inconsistent; teams ship on gut, or stall on ambiguous results.

- Improve statistical decision quality. - Shorten experiment cycles. - Create clearer experiment readouts.

Teams that design A/B tests and read their results.

Experiment hypothesis; historical baseline metrics; experiment result data.