Agent skill · magnus919
product-experimentation
Run end-to-end product experiments from assumption to decision: translate assumptions into testable hypotheses and experiment briefs, select the right method among qualitative interviews, prototypes, concierge tests, fake doors, feature flags, and A/B tests, and produce readouts that update the roadmap and decision record. Do not use when a qualitative or prototype test is the clearly right answer without statistical measurement; do not prescribe A/B testing by default; do not treat statistical significance as the only decision criterion or hide ethical and guardrail considerations.
What it needs
About 5k tokens when loaded.
What this skill does
Product Experimentation End-to-end product experimentation: from assumption mapping through method selection, instrumentation, guardrail enforcement, and decision-readout that updates the product roadmap. Owns the complete experiment workflow; routes statistical design and rollout mechanics to specialist skills. Pipeline Loading Guide Load only the reference or template relevant to the task. Do not load every file at once. File Load when ------ ----------- references/discovery-brief.md You need to understand how experimentation concepts map across skills and where this skill's boundaries are references/method-selection.md Choosing among qualitative, prototype, operational, and quantitative test methods references/guardrails-and-ethics.md Defining guardrail metrics, ethical boundaries, stopping rules, and decision ownership references/experiment-readout.md Producing a decision-impact readout that updates the roadmap or decision record templates/experiment-brief.md Filling out a structured experiment brief from an assumption templates/assumption-map.md Mapping assumptions to risk, evidence, and testability before designing experiments templates/guardrail-and-decision-rule.md Recording guardrails, stopping rules, and decision criteria for an experiment templates/readout-learning-entry.md Documenting experiment outcome and updating the roadmap, decision log, or lifecycle evidence Working Method 1. Map assumptions Surface the assumptions driving the proposed change. Classify each by risk (what breaks if it is wrong), evidence strength (what evidence already exists), and testability (can it be tested, and how cheaply). Use templates/assumption-map.md. 2. Translate into hypotheses Convert the riskiest, least-evidenced assumptions into falsifiable hypotheses. Each hypothesis names the independent variable (what changes), the dependent variable (what outcome is measured), the predicted direction, and the smallest effect that matters. Use templates/experiment-brief.md. 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills magnus919/product-experimentation