experiment-writeup
Skill3 starsChanged 18 days agoMITView on GitHub
Help PMs write up experiment results. Use when documenting A/B test outcomes, feature experiment learnings, or sharing results with stakeholders.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- ianklassen/ai-pm-systemword for word, first seen Apr 12, 2026
Other versions1 project uses a version of this.
Word for word · 1
- ianklassen/ai-pm-system★ 1100% same
Edited · 0
None found.
Wrote their own version · 0
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- company-product-signalsSkill
- company-researcherSkill
- company-strategySkill
- pm-os-onboardingSkill
- brainstormingSkill
- continual-learningSkill
- decision-loggerSkill
- eval-briefSkill
- exec-communicatorSkill
- experiment-designerSkill
- knowledge-updaterSkill
- launch-postSkill
- launch-readinessSkill
- meeting-to-actionsSkill
- one-pagerSkill
- pptx-creatorSkill
- prd-writerSkill
- stakeholder-updateSkill
- strategy-connectorSkill
- what-ifSkill
- working-backwardsSkill
- writing-clearlySkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
When asked "help me write up the results"
- Distinctive: line 58
Use plain language; avoid jargon
- Distinctive: line 60
Call out statistical significance explicitly
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Experiment Writeup
Help PMs document experiment results in a structured format. Turns raw data into clear narratives with hypothesis, methodology, results, learnings, and decision.
When to Use
- Documenting A/B test outcomes
- Writing up feature experiment results
- Sharing experiment learnings with stakeholders
- Creating a record for future reference
- When asked "help me write up the results"
Process / Template
1. Gather the Data
- Hypothesis (original statement)
- Experiment design (variants, duration, sample size)
- Primary, secondary, and guardrail metric results
- Statistical significance (p-values, confidence intervals)
- Any qualitative feedback or observations
2. Structure the Writeup
Hypothesis
- Restate the original hypothesis
- Brief context on why we ran this
Methodology
- Variants tested (control vs. treatment)
- Duration and sample size
- Target segment
- Any caveats (traffic issues, external events)
Results
- Primary metric — direction, magnitude, significance
- Secondary metrics — supporting or conflicting signals
- Guardrail metrics — did anything regress?
Learnings
- What did we learn? (beyond the numbers)
- Surprises or unexpected findings
- Implications for future work
Decision
- Ship / Iterate / Kill
- Rationale for the decision
- Next steps (if iterating)
3. Write Clearly
- Lead with the decision and key takeaway
- Use plain language; avoid jargon
- Include numbers with context (e.g., "+12% vs. control")
- Call out statistical significance explicitly
Output
A structured Experiment Writeup suitable for:
- Stakeholder sharing (Slack, email)
- Internal documentation
- Experimentation platform notes
- Retrospectives and planning
Format: concise, scannable, decision-oriented. Typically 1–2 pages or equivalent in markdown.
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