kpi-dashboard-design – Design & UI skill for AI agents
Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.
Install the kpi-dashboard-design skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/kpi-dashboard-design-d2662.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /kpi-dashboard-design – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/kpi-dashboard-design-d2662.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $kpi-dashboard-design – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/kpi-dashboard-design-d2662.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /kpi-dashboard-design – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/kpi-dashboard-design-d2662.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /kpi-dashboard-design – then describe the task you want done.
SKILL.md 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% │ │
│ │ / \/ \ │ │ │ ██ 5% │ │
│ └───────────────────────┘ │ └──────────────────┘ │
│ │
├─────────────────────────────────────────────────────────────┤
│ 🔴 Alert: Churn rate exceeded threshold (>5%) │
│ 🟡 Warning: Support ticket volume 20% above average │
└─────────────────────────────────────────────────────────────┘Pattern 2: SaaS Metrics Dashboard
┌─────────────────────────────────────────────────────────────┐
│ SAAS METRICS Jan 2024 [Monthly ▼] │
├──────────────────────┬──────────────────────────────────────┤
│ ┌────────────────┐ │ MRR GROWTH │
│ │ MRR │ │ ┌────────────────────────────────┐ │
│ │ $125,000 │ │ │ /── │ │
│ │ ▲ 8% │ │ │ /────/ │ │
│ └────────────────┘ │ │ /────/ │ │
│ ┌────────────────┐ │ │ /────/ │ │
│ │ ARR │ │ │ /────/ │ │
│ │ $1,500,000 │ │ └────────────────────────────────┘ │
│ │ ▲ 15% │ │ J F M A M J J A S O N D │
│ └────────────────┘ │ │
├──────────────────────┼──────────────────────────────────────┤
│ UNIT ECONOMICS │ COHORT RETENTION │
│ │ │
│ CAC: $450 │ Month 1: ████████████████████ 100% │
│ LTV: $2,700 │ Month 3: █████████████████ 85% │
│ LTV/CAC: 6.0x │ Month 6: ████████████████ 80% │
│ │ Month 12: ██████████████ 72% │
│ Payback: 4 months │ │
├──────────────────────┴──────────────────────────────────────┤
│ CHURN ANALYSIS │
│ ┌──────────┬──────────┬──────────┬──────────────────────┐ │
│ │ Gross │ Net │ Logo │ Expansion │ │
│ │ 4.2% │ 1.8% │ 3.1% │ 2.4% │ │
│ └──────────┴──────────┴──────────┴──────────────────────┘ │
└─────────────────────────────────────────────────────────────┘Pattern 3: Real-time Operations
┌─────────────────────────────────────────────────────────────┐
│ OPERATIONS CENTER Live ● Last: 10:42:15 │
├────────────────────────────┬────────────────────────────────┤
│ SYSTEM HEALTH │ SERVICE STATUS │
│ ┌──────────────────────┐ │ │
│ │ CPU MEM DISK │ │ ● API Gateway Healthy │
│ │ 45% 72% 58% │ │ ● User Service Healthy │
│ │ ███ ████ ███ │ │ ● Payment Service Degraded │
│ │ ███ ████ ███ │ │ ● Database Healthy │
│ │ ███ ████ ███ │ │ ● Cache Healthy │
│ └──────────────────────┘ │ │
├────────────────────────────┼────────────────────────────────┤
│ REQUEST THROUGHPUT │ ERROR RATE │
│ ┌──────────────────────┐ │ ┌──────────────────────────┐ │
│ │ ▁▂▃▄▅▆▇█▇▆▅▄▃▂▁▂▃▄▅ │ │ │ ▁▁▁▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁ │ │
│ └──────────────────────┘ │ └──────────────────────────┘ │
│ Current: 12,450 req/s │ Current: 0.02% │
│ Peak: 18,200 req/s │ Threshold: 1.0% │
├────────────────────────────┴────────────────────────────────┤
│ RECENT ALERTS │
│ 10:40 🟡 High latency on payment-service (p99 > 500ms) │
│ 10:35 🟢 Resolved: Database connection pool recovered │
│ 10:22 🔴 Payment service circuit breaker tripped │
└─────────────────────────────────────────────────────────────┘Implementation Patterns
Define reporting timezone, currency/conversion date, numerator/denominator and
comparison period for each card. Do not mix percent changes with percentage points
or NPS points. ARR = 12 × MRR implies equal growth rates when using the same
period and definition. These synthetic layout figures are not reconciled accounts.
Require access controls, aggregation/minimum cohort sizes and freshness/coverage
labels before showing customer/employee or financial data; avoid exporting raw PII.
Email opens/clicks can include privacy proxies/bots and are not direct engagement proof.
SQL for KPI Calculations
Use resources/metric-queries.sql for executable normalized-input examples. users contains one row per customer, events contains user/month observations, spend contains source spend rows, and monthly_revenue contains one reconciled amount per month. Represent months as an integer year × 12 + month − 1 so offsets do not wrap after December.
The queries keep the original cohort denominator, deduplicate activity before counting, aggregate spend before joining customers, and return NULL for un
… (full content is in the download package)
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