Reporting and Dashboards
Building reports and summaries people actually read
What You'll Learn
- How to turn analysis into polished reports with AI
- Designing dashboards that answer questions at a glance
- Automating recurring reports
- Writing executive summaries that drive decisions
Great Analysis, Terrible Reports
You can do the best data analysis in the world, but if your report is a wall of text or a chaotic spreadsheet, nobody will act on it. The gap between analysis and action is almost always a communication problem.
AI bridges that gap. It can take raw analysis and reshape it into a format designed for your specific audience — whether that's a CEO who wants three bullet points or a team that needs the full breakdown.
The Three-Layer Report
Every good report has three layers. Ask AI to build yours this way:
Layer 1 — Executive summary (3-5 sentences): The headline findings. What changed, what matters, what to do about it. A busy person reads only this and still gets the point.
Layer 2 — Key metrics and visuals: The supporting data. Charts, tables, comparisons. This is where the evidence lives.
Layer 3 — Detailed analysis: The deep dive for people who want to understand methodology, caveats, and nuance.
Most reports fail because they start at Layer 3. Start at Layer 1. Always.
Dashboards That Actually Work
Ask AI to design your dashboard layout:
"I need a monthly dashboard for my online store. My key metrics are: revenue, orders, average order value, top products, and customer acquisition source. Design a dashboard layout — tell me which metrics should be KPI cards at the top, which need charts, and which work best as tables. Also suggest what comparison data to show (vs. last month, vs. same month last year)."
AI thinks about hierarchy, comparison context, and visual weight — the same things a professional dashboard designer considers.
Recurring Reports on Autopilot
If you run the same report weekly or monthly, AI can help you build a template once and reuse it:
Step 1: Create the first report with AI, refining it until it's exactly right.
Step 2: Ask AI to turn the process into a reusable prompt template with placeholders for new data.
Step 3: Each reporting period, paste new data into the template. Same quality report, fraction of the time.
The first report takes effort. Every subsequent one takes five minutes.
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