Agent skill

Measure Dashboard Requirements

by product-on-purpose in product-on-purpose/pm-skills

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…

Apache-2.0Auto-check passedData & Analytics

Install Measure Dashboard Requirements

skills CLI
$ npx skills add product-on-purpose/pm-skills --skill measure-dashboard-requirements -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install product-on-purpose/pm-skills measure-dashboard-requirements --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/measure-dashboard-requirements .claude/skills/measure-dashboard-requirements && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
measure-dashboard-requirements
GitHub stars
716
Token cost
~1k tokens
SKILL.md length
450 words
Files
5 (incl. references)
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 7 steps: Define the Purpose → Identify the Audience → Specify Key Metrics → …
  • Requesting a dashboard
  • SKILL.md covers When to Use, When NOT to Use, Instructions and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Measure Dashboard Requirements is an agent skill from product-on-purpose/pm-skills. 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.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `HISTORY.md`, `evals/trigger-fixtures.json` and `references/EXAMPLE.md`).

It sits in Data & Analytics, covering Product analytics. The repository describes itself as: 68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus… The licence is Apache-2.0.

When your agent uses it

  • Requesting a dashboard
  • Formalizing ad-hoc reporting

Example prompts

  • “Use the measure-dashboard-requirements skill to specify what questions a dashboard must answer and the metrics, visualizations, filters, and data…”
  • “/measure-dashboard-requirements”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Define the Purpose
  2. Identify the Audience
  3. Specify Key Metrics
  4. Design Visualizations
  5. Define Filters and Segments
  6. Document Data Sources
  7. Set Permissions and Access

What it can do on your machine

Read from SKILL.md and the folder at commit 1cef1a9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Measure Dashboard Requirements loads about 1k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 450 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from product-on-purpose/pm-skills at commit 1cef1a9, republished under its Apache-2.0 licence (© product-on-purpose). 450 words, ~1,045 tokens.

Download SKILL.mdSave it as .claude/skills/measure-dashboard-requirements/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
measure-dashboard-requirements
description
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.
license
Apache-2.0
metadata.phase
measure
metadata.version
2.2.0
metadata.updated
2026-07-04
metadata.category
validation
metadata.frameworks
triple-diamond, lean-startup, design-thinking
metadata.author
product-on-purpose
<!-- 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

Instructions

When asked to specify dashboard requirements, follow these steps:

  1. Define the Purpose Start with the questions this dashboard should answer, not the charts it should show. What decisions will this dashboard inform? A dashboard without clear purpose becomes a vanity metrics display.

  2. Identify the Audience Specify who will use this dashboard, how often, and in what context. An executive weekly review has different needs than a team's daily standup board.

  3. Specify Key Metrics For each metric, document: name, business definition (in plain language), calculation formula, data source, and baseline/target values. Ambiguous metrics lead to misaligned dashboards.

  4. Design Visualizations Recommend chart types based on what the data should communicate. Time trends need line charts; comparisons need bar charts; compositions need pie/treemaps. Include dimension breakdowns.

  5. Define Filters and Segments Specify what drill-downs users need: date ranges, user segments, product areas, geographic regions. Anticipate the "slice and dice" questions users will ask.

  6. Document Data Sources Identify where data comes from and any known data quality issues. Note latency requirements.does the dashboard need real-time data or is daily refresh sufficient?

  7. Set Permissions and Access Determine who can view what. Some metrics may need restricted access. Consider both security requirements and organizational politics.

Show full SKILL.md (101 more words)Show less

Output Format

Use the template in references/TEMPLATE.md to structure the output. A complete spec fills every template section: Overview; Purpose and Questions; Audience; Key Metrics; Visualization Specifications; Filters and Segments; Data Sources; Access and Permissions; Alerts and Thresholds; Acceptance Criteria; Open Questions; and Appendix.

Quality Checklist

Before finalizing, verify:

  • Purpose is framed as questions to answer, not charts to build
  • All metrics have clear definitions and calculation formulas
  • Data sources are identified and accessible
  • Visualization choices match the type of insight needed
  • Filters enable the drill-downs users will want
  • Refresh frequency matches decision-making cadence

Examples

See references/EXAMPLE.md for a completed example.

© product-on-purpose, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/measure-dashboard-requirements of product-on-purpose/pm-skills.

  • SKILL.md
  • HISTORY.md
  • evals/trigger-fixtures.json
  • references/EXAMPLE.md
  • references/TEMPLATE.md

Open the folder on GitHubat commit 1cef1a9

Compare with similar skills

Measure Dashboard Requirements next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Measure Dashboard Requirements compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Measure Dashboard Requirements this skillproduct-on-purpose/pm-skills716—~1kAutomated safety check: PassApache-2.0
PostHog CLI Queriesdebugtheworldbot/keyStats1.5k—~1.2kAutomated safety check: PassMIT
Retentioneering Contributingretentioneering/retentioneering-tools927—~1.8kAutomated safety check: PassApache-2.0
Retentioneering Product Analyticsretentioneering/retentioneering-tools927—~1.6kAutomated safety check: PassApache-2.0
Feature Analytics Instrumentation Plannermistralai/mistral-vibe5.1k—~2.2kAutomated safety check: PassApache-2.0
Funnel Analysisliangdabiao/claude-data-analysis-ultra-main2901 repos~781Automated safety check: NotesNone

Similar skills

  • PostHog CLI Queries

    debugtheworldbot/keyStats

    Runs HogQL queries against this project's PostHog data from the terminal using posthog-cli, with bundled scripts for dashboard metadata the CLI itself has no command for.

    1.5k GitHub stars~1.2k tokensUpdated 8 days ago
    Data & AnalyticsAuto-check passed
  • Retentioneering Contributing

    retentioneering/retentioneering-tools

    Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal…

    927 GitHub stars~1.8k tokensUpdated 4 days ago
    Data & AnalyticsAuto-check passed
  • Retentioneering Product Analytics

    retentioneering/retentioneering-tools

    Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering.

    927 GitHub stars~1.6k tokensUpdated 4 days ago
    Data & AnalyticsAuto-check passed
  • Official

    Plans which analytics events and properties a new feature needs, checks them against the existing event registry, and verifies them per environment.

    5.1k GitHub stars~2.2k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Funnel Analysis

    liangdabiao/claude-data-analysis-ultra-main

    Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.

    290 GitHub starsUsed in 1 repo~781 tokens
    Data & AnalyticsAuto-check: notes
  • Event Tracking

    linuxfoundation/insights

    Add event tracking calls to Vue/Nuxt components in the Insights app using the useTrackEvent composable.

    282 GitHub stars~1.9k tokensUpdated 10 days ago
    Data & AnalyticsAuto-check passed

More from product-on-purpose/pm-skills

All 68 skills in this repo
  • Define Hypothesis

    product-on-purpose/pm-skills

    Defines a testable hypothesis with clear success metrics and a validation approach.

    716 GitHub stars~966 tokensUpdated 3 days ago
    Auto-check passed
  • Define Jtbd Canvas

    product-on-purpose/pm-skills

    Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job.

    716 GitHub stars~1.1k tokensUpdated 3 days ago
    Auto-check passed
  • Define Opportunity Tree

    product-on-purpose/pm-skills

    Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery.

    716 GitHub stars~1.1k tokensUpdated 3 days ago
    Auto-check passed
  • Define Problem Statement

    product-on-purpose/pm-skills

    Creates a clear problem framing document with user impact, business context, and success criteria.

    716 GitHub stars~932 tokensUpdated 3 days ago
    Auto-check passed
  • Deliver Acceptance Criteria

    product-on-purpose/pm-skills

    Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form.

    716 GitHub stars~1k tokensUpdated 3 days ago
    Auto-check passed
  • Deliver Launch Checklist

    product-on-purpose/pm-skills

    Creates a cross-functional pre-launch checklist covering engineering, design, marketing, support, legal, and operations readiness, with owners, dates, and go/no-go criteria so nothing is missed…

    716 GitHub stars~970 tokensUpdated 3 days ago
    Auto-check passed

Questions about Measure Dashboard Requirements

What does Measure Dashboard Requirements 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…. Measure Dashboard Requirements is an agent skill from product-on-purpose/pm-skills. 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.

When should I use Measure Dashboard Requirements?

Measure Dashboard Requirements fits situations like: requesting a dashboard; formalizing ad-hoc reporting.

How do I install Measure Dashboard Requirements in Claude Code?

Run `npx skills add product-on-purpose/pm-skills --skill measure-dashboard-requirements -a claude-code`. Or copy the skill folder (skills/measure-dashboard-requirements in product-on-purpose/pm-skills) into .claude/skills/measure-dashboard-requirements in your project. Claude Code loads it when a task matches its description.

How do I install Measure Dashboard Requirements in Codex?

Run `npx skills add product-on-purpose/pm-skills --skill measure-dashboard-requirements -a codex`. Or copy the skill folder (skills/measure-dashboard-requirements in product-on-purpose/pm-skills) into .agents/skills/measure-dashboard-requirements in your project. Codex loads it when a task matches its description.

Can I use Measure Dashboard Requirements in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add product-on-purpose/pm-skills --skill measure-dashboard-requirements -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/measure-dashboard-requirements, .gemini/skills/measure-dashboard-requirements, .github/skills/measure-dashboard-requirements and .opencode/skills/measure-dashboard-requirements in your project.

What does Measure Dashboard Requirements need to run?

SKILL.md names no scripts, command-line tools or credentials: Measure Dashboard Requirements is instructions for the agent only.

Does Measure Dashboard Requirements access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Measure Dashboard Requirements safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Measure Dashboard Requirements use?

Measure Dashboard Requirements is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Measure Dashboard Requirements use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.7k tokens, read only when the agent opens those files.

What are the alternatives to Measure Dashboard Requirements?

Skills that share tags, products or a category with Measure Dashboard Requirements: PostHog CLI Queries (debugtheworldbot/keyStats, 1.5k stars), Retentioneering Contributing (retentioneering/retentioneering-tools, 927 stars), Retentioneering Product Analytics (retentioneering/retentioneering-tools, 927 stars) and Feature Analytics Instrumentation Planner (mistralai/mistral-vibe, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Measure Dashboard Requirements?

product-on-purpose (a GitHub organization) maintains it in product-on-purpose/pm-skills, which has 716 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on October 8, 2026.

Source: product-on-purpose/pm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.