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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Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
At the start of any non-trivial analysis request, especially when the ask is vague ("can you look into X?"), when multiple stakeholders have a stake in the outcome, or when the result will drive an important decision. Spending 30 minutes on requirements prevents days of rework.
assets/interview_guide.md to surface: the business decision being made, who the audience is, what "done" looks like, and what constraints exist.references/decision_maker_framework.md to classify the decision (strategic / operational / tactical) and calibrate the required rigour and format.assets/requirements_doc_template.md covering: business question, success criteria, scope inclusions/exclusions, data sources, and timeline.references/elicitation_techniques.md for any requirement still unclear after the interview (5-whys, scenario walkthrough, MoSCoW prioritisation).assets/analysis_brief_template.md, which becomes the authoritative scope document for the project.requirements_doc_template.md)analysis_brief_template.md)아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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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