kpi-dashboard-design
Design and build dashboards that track key performance indicators. Select relevant metrics, visualize data effectively, and communicate insights to stakeholders.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill kpi-dashboard-design- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads kpi-dashboard-design automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
KPI Dashboard Design
Table of Contents
Overview
Effective KPI dashboards make performance visible, enable data-driven decisions, and help teams align around shared goals.
When to Use
- Creating performance measurement systems
- Leadership reporting and visibility
- Operational monitoring
- Project progress tracking
- Team performance management
- Customer health monitoring
- Financial reporting
Quick Start
Minimal working example:
# Select relevant, measurable KPIs
class KPISelection:
KPI_CRITERIA = {
'Relevant': 'Directly aligned with business strategy',
'Measurable': 'Can be quantified and tracked',
'Actionable': 'Team can influence the metric',
'Timely': 'Measured frequently (daily/weekly)',
'Bounded': 'Has clear target/threshold',
'Simple': 'Easy to understand'
}
def identify_business_goals(self):
"""Map goals to KPIs"""
return {
'Revenue Growth': [
'Monthly Recurring Revenue (MRR)',
'Annual Recurring Revenue (ARR)',
'Customer Lifetime Value (CLV)',
'Average Revenue Per User (ARPU)'
],
'Customer Acquisition': [
'Customer Acquisition Cost (CAC)',
'Conversion Rate',
'Traffic to Lead Rate',
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| KPI Selection Framework | KPI Selection Framework |
| Dashboard Design | Dashboard Design |
| Dashboard Implementation | Dashboard Implementation |
| KPI Monitoring & Governance | KPI Monitoring & Governance |
Best Practices
✅ DO
- Start with business goals, not data
- Limit dashboards to 5-7 core metrics
- Include both leading and lagging indicators
- Assign clear metric ownership
- Update dashboards regularly
- Make drill-down available
- Use visual hierarchy effectively
- Test with actual users
- Include context and benchmarks
- Document metric definitions
❌ DON'T
- Create dashboards without clear purpose
- Include too many metrics (analysis paralysis)
- Forget about data quality
- Build without stakeholder input
- Use confusing visualizations
- Leave dashboards stale
- Ignore mobile viewing experience
- Skip training on dashboard usage
- Create metrics no one can influence
- Change metrics frequently
FAQ
What does the kpi-dashboard-design skill do?
Design and build dashboards that track key performance indicators. Select relevant metrics, visualize data effectively, and communicate insights to stakeholders.
How do I install kpi-dashboard-design?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill kpi-dashboard-design in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/kpi-dashboard-design/ (personal) or .claude/skills/kpi-dashboard-design/ (project).
Which AI agents can use kpi-dashboard-design?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is kpi-dashboard-design safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains kpi-dashboard-design?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 521 recorded installs.
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