analysis-documentation
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ChineseAnalysis Documentation
分析文档
When to use
使用场景
- Finalising an analysis before sharing it with stakeholders
- Handing off an analysis to another team member or to a future self
- Archiving recurring analyses so they can be run again consistently
- Preparing for peer review or a formal audit
- Converting an exploratory notebook into a reference document
- 在与利益相关方分享分析成果前完成最终整理
- 将分析工作交接给其他团队成员或未来的自己
- 存档周期性分析内容,以便后续能一致地重新运行
- 准备同行评审或正式审计
- 将探索性笔记本转换为参考文档
Process
流程
- Confirm audience and scope — determine whether the primary reader is technical (data team), business (stakeholders), or both. For mixed audiences, use a tiered structure. See for calibration.
references/audience_depth_guide.md - Write the business context section — state the business question, the stakeholders who requested the analysis, the decisions it informs, and the success criteria.
- Document data sources — for each source, record the table or file, date range, row count, key columns, and any known quality issues or exclusions applied.
- Write the methodology section — describe the analytical approach, tools and library versions, key assumptions, and important decisions made (and alternatives considered). Reference the assumptions log if one exists.
- Record results — include key metrics and statistics, embed or link visualisations with descriptive captions, and present findings in order of importance.
- Write the insights, recommendations, and reproducibility section — connect each finding to a business implication and a next action. Document the steps required to reproduce the analysis (data access, environment, execution order). Use as the structure.
assets/analysis_doc_template.md
- 确认受众与范围 —— 确定主要读者是技术人员(数据团队)、业务人员(利益相关方)还是两者兼有。针对混合受众,采用分层结构。可参考进行校准。
references/audience_depth_guide.md - 撰写业务背景部分 —— 说明业务问题、请求分析的利益相关方、分析所支持的决策以及成功标准。
- 记录数据源 —— 针对每个数据源,记录对应的表或文件、日期范围、行数、关键列,以及任何已知的质量问题或已应用的排除规则。
- 撰写方法论部分 —— 描述分析方法、使用的工具和库版本、关键假设,以及做出的重要决策(和考虑过的替代方案)。如果存在假设日志,请参考该日志。
- 记录结果 —— 包含关键指标和统计数据,嵌入或链接带有说明性标题的可视化内容,并按重要性顺序呈现分析结果。
- 撰写洞察、建议与可复现性部分 —— 将每个分析结果与业务影响和下一步行动关联起来。记录复现分析所需的步骤(数据访问权限、环境、执行顺序)。使用作为文档结构。
assets/analysis_doc_template.md
Inputs the skill needs
技能所需输入
- Final code (SQL, Python, notebook) and outputs (charts, tables)
- Business question and stakeholder context
- Key findings and recommendations already identified
- Data source details (tables, date ranges, sample sizes)
- Library and tool versions used
- 最终代码(SQL、Python、笔记本)和输出(图表、表格)
- 业务问题和利益相关方背景
- 已确定的关键发现与建议
- 数据源详情(表、日期范围、样本量)
- 使用的库和工具版本
Output
输出
- — completed analysis document covering context, data, methodology, results, and reproducibility
assets/analysis_doc_template.md - Linked or embedded visualisations and code references
- —— 完整的分析文档,涵盖背景、数据、方法论、结果和可复现性
assets/analysis_doc_template.md - 链接或嵌入的可视化内容与代码引用