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/kpi-dashboard-design

Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.

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secondsky-claude-skills
219183 skills42 agents62 commands2 MCP
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$ npx -y skills add secondsky/claude-skills --skill kpi-dashboard-design --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/kpi-dashboard-design

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Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.

SKILL.md

kpi-dashboard-design.SKILL.md
name: kpi-dashboard-design
description: Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
license: MIT

KPI Dashboard Design

Design effective dashboards that communicate key metrics clearly.

KPI Selection Framework

**Good KPIs are:**

  • Relevant to business goals
  • Measurable and quantifiable
  • Influenced by the team
  • Updated frequently
  • Simple to understand

Common Business KPIs

| Goal | KPIs | |------|------| | Revenue | MRR, ARR, Revenue Growth | | Acquisition | CAC, New Users, Conversion Rate | | Retention | Churn Rate, NPS, DAU/MAU | | Efficiency | LTV:CAC, Burn Rate | | Quality | Error Rate, Response Time |

Dashboard Layout

┌─────────────────────────────────────────────────┐
│              Executive Summary                  │
│  [Revenue ▲12%]  [Users ▲8%]  [Churn ▼2%]      │
├─────────────────────┬───────────────────────────┤
│                     │                           │
│   Revenue Trend     │    User Acquisition      │
│   (Line Chart)      │    (Bar Chart)           │
│                     │                           │
├─────────────────────┼───────────────────────────┤
│                     │                           │
│   Retention Funnel  │    Top Products          │
│   (Funnel Chart)    │    (Table)               │
│                     │                           │
└─────────────────────┴───────────────────────────┘

Visual Design Principles

/* Traffic light colors for status */
.metric-good { color: #22c55e; }    /* Green */
.metric-warning { color: #f59e0b; } /* Amber */
.metric-bad { color: #ef4444; }     /* Red */

/* Visual hierarchy */
.metric-primary {
  font-size: 2.5rem;
  font-weight: 700;
}

.metric-secondary {
  font-size: 1.5rem;
  font-weight: 500;
}

Chart Selection

| Data Type | Chart | |-----------|-------| | Trend over time | Line chart | | Comparison | Bar chart | | Composition | Pie/Donut | | Distribution | Histogram | | Correlation | Scatter plot | | Funnel stages | Funnel chart |

Interactivity Features

  • Drill-down to detailed views
  • Date range selection
  • Filtering by segment
  • Export to CSV/PDF
  • Scheduled email reports

Best Practices

  • Limit to 5-7 KPIs per dashboard
  • Show trends, not just snapshots
  • Use consistent color coding
  • Include comparison periods (vs last month)
  • Update data in real-time or hourly
  • Review dashboard relevance quarterly

Common Mistakes

  • Too many metrics (information overload)
  • No clear visual hierarchy
  • Missing context (no comparisons)
  • Outdated or stale data
  • Metrics without ownership
Read more
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