Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.
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。
Within one week of completing a significant analysis project — while the details are still fresh. Also use after an analysis that went wrong (late delivery, stakeholder rejection, data error discovered post-delivery) to prevent recurrence. Run team retros quarterly even without a specific incident.
references/retro_frameworks.md to stay focused (Start/Stop/Continue or 4Ls: Liked/Lacked/Learned/Longed for).references/learning_capture.md to decide which learnings belong in: templates, reference docs, checklists, or team norms.assets/retrospective_template.md with owners and due dates; log durable learnings in assets/learnings_log_template.md.retrospective_template.md) with what-went-well, issues, root causes, and action itemslearnings_log_template.md) for reusable insights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。
Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.
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。