An A/B Test Framework is two things at once: a decision rubric (“should we even test this?”) and an operational flow (who builds, who QAs, how long it runs, how we read the result, where it gets logged). Most teams have one without the other, which is why their test backlog is full and their decisions are still vibes-based.
Not every change should be A/B tested. The framework starts with that — the test/no-test decision — and only then walks through the operational mechanics.
What decision this drives
Whether each launch produces learning or just produces a release note. The 4-phase management flow (design, build, run, decide) makes the answer auditable instead of argued.
What it looks like
Caption: Anonymized A/B Test Management 4-phase flow.
What you get
- Test/no-test decision rubric
- Hypothesis and metric template
- Statistical thresholds calibrated to your traffic
- 4-phase management flow with roles and exit criteria
- Setup and review of the first 3 tests in your environment
Real result
At a high-traffic ad-supported product, programmatic A/B testing on this framework produced 3–17% MoM RPS and session-length lift.
Price
€7,000 fixed, 5 weeks (includes setup of first 3 tests).
