Kpi Dashboard Design
Kpi Dashboard Design is an data AI skill with a core value of Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. It
helps developers solve real-world problems in the data domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data ...
Quick Facts
mkdir -p ./skills/kpi-dashboard-design && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/kpi-dashboard-design/SKILL.md -o ./skills/kpi-dashboard-design/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# KPI Dashboard Design
Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.
Do not use this skill when
- The task is unrelated to kpi dashboard design
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.
Use this skill when
- Designing executive dashboards
- Selecting meaningful KPIs
- Building real-time monitoring displays
- Creating department-specific metrics views
- Improving existing dashboard layouts
- Establishing metric governance
Core Concepts
1. KPI Framework
| Level | Focus | Update Frequency | Audience |
| --------------- | ---------------- | ----------------- | ---------- |
| **Strategic** | Long-term goals | Monthly/Quarterly | Executives |
| **Tactical** | Department goals | Weekly/Monthly | Managers |
| **Operational** | Day-to-day | Real-time/Daily | Teams |
2. SMART KPIs
Specific: Clear definition
Measurable: Quantifiable
Achievable: Realistic targets
Relevant: Aligned to goals
Time-bound: Defined period3. Dashboard Hierarchy
├── Executive Summary (1 page)
│ ├── 4-6 headline KPIs
│ ├── Trend indicators
│ └── Key alerts
├── Department Views
│ ├── Sales Dashboard
│ ├── Marketing Dashboard
│ ├── Operations Dashboard
│ └── Finance Dashboard
└── Detailed Drilldowns
├── Individual metrics
└── Root cause analysisCommon KPIs by Department
Sales KPIs
Revenue Metrics:
- Monthly Recurring Revenue (MRR)
- Annual Recurring Revenue (ARR)
- Average Revenue Per User (ARPU)
- Revenue Growth Rate
Pipeline Metrics:
- Sales Pipeline Value
- Win Rate
- Average Deal Size
- Sales Cycle Length
Activity Metrics:
- Calls/Emails per Rep
- Demos Scheduled
- Proposals Sent
- Close RateMarketing KPIs
Acquisition:
- Cost Per Acquisition (CPA)
- Customer Acquisition Cost (CAC)
- Lead Volume
- Marketing Qualified Leads (MQL)
Engagement:
- Website Traffic
- Conversion Rate
- Email Open/Click Rate
- Social Engagement
ROI:
- Marketing ROI
- Campaign Performance
- Channel Attribution
- CAC Payback PeriodProduct KPIs
Usage:
- Daily/Monthly Active Users (DAU/MAU)
- Session Duration
- Feature Adoption Rate
- Stickiness (DAU/MAU)
Quality:
- Net Promoter Score (NPS)
- Customer Satisfaction (CSAT)
- Bug/Issue Count
- Time to Resolution
Growth:
- User Growth Rate
- Activation Rate
- Retention Rate
- Churn RateFinance KPIs
Profitability:
- Gross Margin
- Net Profit Margin
- EBITDA
- Operating Margin
Liquidity:
- Current Ratio
- Quick Ratio
- Cash Flow
- Working Capital
Efficiency:
- Revenue per Employee
- Operating Expense Ratio
- Days Sales Outstanding
- Inventory TurnoverDashboard Layout Patterns
Pattern 1: Executive Summary
┌─────────────────────────────────────────────────────────────┐
│ EXECUTIVE DASHBOARD [Date Range ▼] │
├─────────────┬─────────────┬─────────────┬─────────────────┤
│ REVENUE │ PROFIT │ CUSTOMERS │ NPS SCORE │
│ $2.4M │ $450K │ 12,450 │ 72 │
│ ▲ 12% │ ▲ 8% │ ▲ 15% │ ▲ 5pts │
├─────────────┴─────────────┴─────────────┴─────────────────┤
│ │
│ Revenue Trend │ Revenue by Product │
│ ┌───────────────────────┐ │ ┌──────────────────┐ │
│ │ /\ /\ │ │ │ ████████ 45% │ │
│ │ / \ / \ /\ │ │ │ ██████ 32% │ │
│ │ / \/ \ / \ │ │ │ ████ 18% │ 🎯 Best For
- UI designers
- Product designers
- Claude users
- Data professionals
- Analytics teams
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Data pipeline auditing
- Query optimization
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Kpi Dashboard Design to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
How do I install Kpi Dashboard Design?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/kpi-dashboard-design/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Ignoring data quality
AI analysis inherits all data quality issues — profile your data first.