How To Build Interactive Dashboards With Claude Like An AI Product Manager
A PM's exact prompts for turning raw data into a dashboard stakeholders actually open.
Open medium.com →Three speeds: paste an export into Claude and get an interactive dashboard artifact in minutes, have Claude Code or Cursor build a small Streamlit or web dashboard against your real database, or stand up open-source Metabase and let its AI assistant write the queries. Founders routinely get a usable KPI view in an afternoon; the real discipline is defining each metric once so the AI computes it the same way every week. Claude's Artifacts now support live, shareable dashboards, which covers most weekly-review needs without any BI seat licences.
A quick orientation. The real value is below: resources worth your time, from people who've actually done it.
A PM's exact prompts for turning raw data into a dashboard stakeholders actually open.
Open medium.com →What changed: dashboards that stay live and share privately inside your org.
Open venturebeat.com →The official announcement of session-to-shareable-dashboard in one step.
Open claude.com →The reference for actually shipping a live dashboard from a Claude Code session.
Open code.claude.com →Connecting real data feeds to Claude-built dashboards, with worked examples.
Open blog.coupler.io →Months of hard-won lessons from maintaining two Claude-built dashboards, condensed into one file.
Open gist.github.com →A complete worked example, from raw logs to a dashboard quantifying 613 hours saved.
Open kevinjmagnan.com →A soup-to-nuts screencast you can follow with your own data open in another tab.
Watch on YouTube youtube.com →A marketer, not an engineer, ships a production dashboard on real GA data.
Watch on YouTube youtube.com →The Streamlit pattern: a real web dashboard on your database in an afternoon.
Watch on YouTube youtube.com →Shows the new Live Artifacts flow, the fastest current route to a refreshing dashboard.
Watch on YouTube youtube.com →A respected product voice on automating the weekly metrics review end to end.
Watch on YouTube youtube.com →Proof of the floor: from spreadsheet upload to working dashboard with zero code.
Watch on YouTube youtube.com →The self-hostable BI standard, now with Metabot AI writing and debugging queries.
Open github.com →Honest about where a chatbot helps (planning, formulas) and where it cannot run your analytics.
Open graphed.com →The no-code route when your metrics already live in a sheet the team maintains.
Open glideapps.com →Covers persistence and data-refresh limits so you know what Artifacts can carry.
Open eigent.ai →A three-minute demo that resets your expectation of how long v1 should take.
Watch on YouTube youtube.com →