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Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods.
Passed 21 of 22 test cases with the skill, and 13 of 22 without it.
and 11 more in the full report
9 fixed12 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our growth engineering team is struggling with experimentation bottlenecks as we scale our consumer app. We have several proposals on the table: implementing CUPED for variance reduction, building automated experiment guardrails, and running localized training workshops for PMs. Please generate an experimentation strategy roadmap for us. Include a breakdown of strategic context and top recommendation, a candidate initiatives table scoring options across rate, quality, cost, usability, and effort, a phased Now/Next/Later roadmap sequence, and an adoption plan detailing tooling requirements, process updates, educational needs, and success metrics.
| Checked | Without skill | With skill |
|---|---|---|
| The response classifies candidate initiatives by initiative type such as optimization strategy, process improvement, or infrastructure enhancement in the evaluation table. | Missed | Passed |
| The response places pilot prototyping of CUPED variance reduction before full platform-wide rollout in the execution sequence. | Missed | Passed |
| The response structures the adoption plan with items addressing tooling, process, education, and platform success metrics. | Passed | Passed |
The instructions your model reads when the skill loads.
Use this skill to decide which experimentation capability deserves investment next. It helps balance experimentation rate, quality, cost, usability, process, infrastructure, and company strategy when adopting advanced techniques.
Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 1 on rate, quality, and cost; and Chapter 9 on optimization strategies, process improvements, infrastructure, company goals, user needs, robustness, cost versus quality, and evaluating new strategies.
Related skills:
ab-testing-platform-strategy for platform architecture and build/buy scope.experimentation-throughput-strategy for increasing experiment rate.experiment-verification-monitoring for quality investments.experiment-sensitivity-optimization, ml-experiment-evaluation, and
adaptive-experimentation-strategy for advanced technique candidates.| Need | Read |
|---|---|
| Roadmap concepts | references/core/knowledge.md |
| Prioritization and platformization rules | references/core/rules.md |
| Strategy examples | references/core/examples.md |
| Step-by-step roadmap workflow | workflows/prioritize-experimentation-roadmap.md |
test cases passed, vs 13 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.