KPI Dashboard Design

Table of Contents

• [Overview](#overview)

• [When to Use](#when-to-use)

• [Quick Start](#quick-start)

• [Reference Guides](#reference-guides)

• [Best Practices](#best-practices)

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