measure-dashboard-requirements
Specifies what questions a dashboard must answer and the metrics, visualizations, filters, and data sources it needs, so data teams build something that informs decisions rather than displaying numbers. Use when requesting a dashboard or formalizing ad-hoc reporting. For the event tracking that feeds the dashboard, use measure-instrumentation-spec instead; instrument first, visualize second.
npx skills add product-on-purpose/pm-skills --skill measure-dashboard-requirements --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # Dashboard Requirements A dashboard requirements document specifies what questions a dashboard should answer, what metrics it displays, and how data should be visualized. Clear requirements help data teams build dashboards that actually inform decisions rather than just displaying numbers. ## When to Use - When requesting a new dashboard from data/analytics teams - To define KPI tracking for a product, feature, or team - When formalizing ad-hoc reporting into a persistent dashboard - Before quarterly planning to specify what visibility you need - When onboarding stakeholders who need self-serve analytics ## When NOT to Use - You need the event tracking that feeds dashboards -> use `measure-instrumentation-spec`; instrument first, visualize second - You are designing an experiment readout, not a standing dashboard -> use `measure-experiment-design` and `measure-experiment-results` - You want OKR progress scored at cycle close -> use `measure-okr-grader` - The questions the dashboard should answer are not yet agreed -> frame outcomes first with `foundation-okr-writer` or `define-problem-statement` ## I
- When to Use
- When NOT to Use
- Instructions
- Output Format
- Quality Checklist
- Examples
What does the measure-dashboard-requirements skill do?
Specifies what questions a dashboard must answer and the metrics, visualizations, filters, and data sources it needs, so data teams build something that informs decisions rather than displaying numbers. Use when requesting a dashboard or formalizing ad-hoc reporting. For the event tracking that feeds the dashboard, use measure-instrumentation-spec instead; instrument first, visualize second.
How do I install it?
Run `npx skills add product-on-purpose/pm-skills --skill measure-dashboard-requirements --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From product-on-purpose/pm-skills, a repository with 518 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.