Kpi Dashboard Design
by secondsky
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 Details
Repository Files
1 file in this skill directory
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
Related Skills
Xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyzing Financial Statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Team Composition Analysis
This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.
Kpi Dashboard Design
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 visualization layouts.
Dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
