What it does
Combines metrics from multiple dashboards with narrative commentary, wins, challenges, and next steps for leadership.
Why I recommend it
Execs need a concise view of performance. Automation saves ops teams hours every month.
Expected benefits
- Faster leadership reporting
- Improved cross-functional alignment
- Historical archive of decisions
- Freed-up analyst bandwidth
- Consistent storytelling for board/investor updates
How it works
Data pulled via APIs (revenue, marketing spend, pipeline, product usage, CS health) -> metrics combined in warehouse or Google Sheets -> Claude writes executive-ready narrative with highlights, risks, KPIs vs targets, and recommended actions -> exports to Notion/Deck/email and pings channel for review.
Quick start
Compile manual summary once to define desired sections (Topline, GTM, Product, People), then feed same data to AI to test. Iterate on prompts until tone matches your leadership style.
Level-up version
Add KPI variance tables, embed Loom/Synthesia video commentary, pull in customer logos/wins, auto-append board slide appendix, and capture reader feedback to improve future reports.
Tools you can use
Dashboards: Looker, ChartMogul, HubSpot, Vitally, Databox
Docs: Notion, Google Docs, Coda
AI: Claude
Automation: Zapier, Workato, Parabola
Storage: Google Drive for PDF archives
Also works with
Department scorecards, investor updates, partner reports.
Technical implementation solution
- No-code: Google Sheets consolidating KPIs -> Apps Script -> Claude -> Notion page + Gmail distribution.
- API-based: Data warehouse/dbt pipeline -> AI service -> Google Slides/PDF deck distributed via Slack + archived in Drive, with metrics stored for trend analysis.
Where it gets tricky
Maintaining data governance, tailoring detail for each audience (exec vs team leads), avoiding contradictory metrics from different systems, and preventing sensitive financial data from being sent to unapproved recipients.
