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.
日本語の概要は準備中です。原文の説明を表示しています。
Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
日本語の概要は準備中です。原文の説明を表示しています。
Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.
日本語の概要は準備中です。原文の説明を表示しています。
Structure analysis approach before starting work. Use when receiving new analysis requests, breaking down complex questions into steps, or planning iterative analysis workflows.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.
日本語の概要は準備中です。原文の説明を表示しています。