Experimentation platform cases: velocity numbers, not vibes

Experimentation platform cases: velocity numbers, not vibes

Six teams that industrialized testing. Each with the throughput it bought. Curated tight.

— 1. A SaaS moved from quarterly to weekly tests — feature flags + auto-stats took experiment cycle from 6 weeks to 9 days; they ran 40 tests in the year vs 8 before. Read if testing is a bottleneck.
— 2. A retailer's guardrail-metrics setup — auto-killed a winning checkout test that was tanking refunds; saved an estimated $180K in masked losses. The guardrail logic is essential.
— 3. A fintech's CUPED variance reduction — cut required sample size 35%, so tests reached significance a week sooner. The stats technique is the gem.
— 4. A media co's mutually-exclusive layers — stopped tests contaminating each other; false-positive rate dropped, trust in results returned. Skip if you run one test at a time.
— 5. A DTC's ship-the-loser audit — found 22% of 'shipped winners' didn't replicate; a re-test gate fixed it. Read this for the humility.
— 6. A platform team's flag-cleanup job — auto-deleted stale flags, removed 600 of them, cut tech debt that was causing incidents. The cleanup tooling is the pick.

That's the stack for this week. Forward to a teammate.