experiment-designer
SolidDesign a single falsifiable experiment with its pass/fail threshold fixed BEFORE the run, so a result can't be rationalized after the fact. Use whenever someone has a hypothesis or risky assumption and is about to just try it and see — "how do I test whether X", "design an experiment for this", "is this optimization worth it", "how would I prove or disprove this", "what would falsify this", or any "let me just run it and look at the numbers" with no threshold named. The method isolates the one decisive question, states the hypothesis and its negation, fixes a numeric metric and a PASS/FAIL/KILL rule up front, picks the cheapest decisive design, controls the confound that would make the result lie (optimization-before-correctness especially), and emits a dated pre-registration plus a falsifiability check. Distinct from reality-check (verifies an existing plan's claims), goal-builder (writes Claude Code /goal conditions), and idea-validator (whole-idea GO/NO-GO); this designs one test and locks its bar.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- scoobydrew83
- Repository
- scoobydrew83/skills
- Created
- 1 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
experiment-design
A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common failure modes that produce confidently wrong shipping decisions.
experiment-design
Playbook for trustworthy experiments — hypothesis framing, test types, sample size and power, statistical vs practical significance, stopping rules, and the traps (peeking, multiple comparisons, novelty effects). Used by experiment-designer.
experiment-design
Design hypothesis-driven experiments and A/B tests with proper methodology. Use when asked to design an A/B test, validate a hypothesis, plan an experiment, or set up a test for a product change. Covers hypothesis writing, sample size, and common mistakes.