Executive Dashboard Generator
Turn raw data into executive-ready insights with visualizations and recommendations.
Contents
references/analysis-coverage.md— supported data inputs and analysis types per domain (financial, sales/marketing, operations, customer).references/output-template.md— the full Markdown dashboard template to populate.references/best-practices.md— reporting principles, visualization do/don't, trigger phrases, example request.
Workflow
- Clarify business context and collect the data sources (files, Sheets links, query output). See
references/analysis-coverage.mdfor accepted inputs and the analysis types to run per domain. - Discover the data: identify structure, date ranges, granularity, key metrics and dimensions, and any data quality issues. Map relationships across datasets.
- Analyze: calculate period-over-period changes, identify trends and patterns, flag outliers and anomalies, run cohort analysis, and set benchmarks and targets.
- Generate insights: synthesize findings into key messages, prioritize by business impact, connect each metric to a business outcome, and develop concrete action recommendations and risk/opportunity flags.
- Choose visualizations: select chart types built for executive readability and maintain a clear visual hierarchy. See
references/best-practices.mdfor the visualization do/don't list. - Assemble the report using the structure in
references/output-template.md. Replace every placeholder with real values; never ship a template with bracketed placeholders left in. - Prioritize recommendations and include scenario planning and a risk assessment, then deliver the dashboard.
Lead with insights over raw numbers, and answer "So what?" and "What should we do?" Apply the reporting principles in references/best-practices.md.
简诗 AI 安全边界
- 不自动安装依赖、修改系统权限、创建持久化任务或执行下载内容。
- 涉及发送、发布、删除、付款、部署或其他外部写入时,先展示目标与影响并取得用户明确确认。
- 凭据只用于用户指定的对应官方服务,不回显、不记录,也不转发到无关地址。
- 命令和代码默认作为参考;只有用户明确要求执行且目标范围清楚时才可运行。
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