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Plan experiment throughput strategies for mature A/B testing programs.
Passed 16 of 21 test cases with the skill, and 12 of 21 without it.
and 3 more in the full report
5 fixed12 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are scaling our B2B web app's feature experimentation, but team traffic limits and review latency are stalling progress on the onboarding flow. Please build a throughput plan for our pipeline. Format your output to cover: 1) Bottleneck analysis, 2) Recommended strategy choice with justification, 3) A capacity view table mapping surfaces and audiences to current/upcoming tests and constraints, 4) Interference safeguards including conflict dimensions and escalation paths, 5) Process and tooling changes, and 6) Explicit decision rules detailing when to overlap, isolate, defer, or revisit experiments.
| Checked | Without skill | With skill |
|---|---|---|
| Includes the section header `## Recommended Strategy`. | Missed | Passed |
| Identifies review latency or traffic constraints as the core experiment pipeline bottleneck. | Passed | Passed |
| Recommends overlapping independent onboarding step variations to maximize testing throughput. | Passed | Passed |
The instructions your model reads when the skill loads.
Use this skill to increase the rate of product experimentation without turning the experiment pipeline into an unreliable traffic jam. It focuses on testing capacity, isolated versus overlapping strategies, interaction effects, and the process/tooling needed to coordinate experiments at scale.
Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 1 on rate, quality, and cost; Chapter 2 on testing availability, isolated and overlapping strategies, and interaction effects; and Chapter 9 on balancing rate with quality, cost, and usability.
Related skills:
ab-testing-platform-strategy for platform architecture and ownership.experiment-verification-monitoring for monitoring conflicts and active-test
health.experiment-sensitivity-optimization for reducing traffic needs by improving
metric sensitivity.| Need | Read |
|---|---|
| Throughput concepts and terminology | references/core/knowledge.md |
| Strategy selection and coordination rules | references/core/rules.md |
| Scenario examples and tradeoffs | references/core/examples.md |
| Step-by-step throughput plan | workflows/improve-experiment-throughput.md |
test cases passed, vs 12 / 21 without
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