Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.
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Before any analysis that will influence a significant decision is delivered to stakeholders. Peer review should be part of the standard delivery checklist for: dashboards going into production, reports used for strategic decisions, A/B test conclusions, and any analysis that will be cited externally.
references/peer_review_framework.md to set expectations.references/analytical_rigor_checklist.md: are the question and method aligned? Are assumptions valid? Is the conclusion supported by the data?references/code_review_for_analysis.md: reproducibility, correctness, readability, and performance.assets/peer_review_template.md: must-fix issues, should-fix suggestions, and optional improvements. Be specific; "this is unclear" is not actionable.assets/review_response_template.md.assets/peer_review_template.md.peer_review_template.md)review_response_template.md)No reviews yet. Tell others what you thought.
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Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.
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Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
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Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.
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Structure analysis approach before starting work. Use when receiving new analysis requests, breaking down complex questions into steps, or planning iterative analysis workflows.
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Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.
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Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.
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