Day 1: Finding Where Growth Really Comes From

Identifying Growth Drivers

• Potential sources of growth
• Measure contribution of each driver
• Current constraints on scaling
• Rank drivers by expected impact

Building KPI Architecture

• Indicator calculation formula and ownership
• Link indicators with targeted outcomes
• Document measurement formulas clearly
• Assign accountable indicator owners

Inventorying Data Sources

• Validation of relevant external records
• Assess suitable external data sources
• Data source ownership register
• Define source update frequency

Day 2: Reading Customers Through Performance Data

Analyzing Customer Segments

• Differences value across customer segments
• Analyze behavior within each segment
• Distinct needs by segment
• Select segments with greatest opportunity

Measuring Conversion Funnels

• Stages of conversion funnel
• Calculate rates at each stage
• Locate the main leakage points
• Analyze causes of conversion loss

Analyzing Service Performance

• Measures of delivered service quality
• Compare usage across services
• Patterns in actual operating costs
• Identify service efficiency opportunities

Day 3: Testing Efficiency Before Scaling Decisions

Analyzing Cost and Efficiency

• Identify primary cost components
• Calculate actual unit cost
• Differences efficiency across alternatives
• Find opportunities to reduce waste

Studying Time-Based Trends

• Plot movement across time
• Identify the sustained overall trend
• Detect shifts and turning points
• Compare relevant reporting periods

Designing Practical Experiments

• Measures of relevant conversion rates
• Choose an appropriate comparison group
• Set a measurable success criterion
• Control important external influences

Day 4: Turning Patterns into Growth Priorities

Analyzing Possible Scenarios

• Scenarios using weighted criteria
• Build optimistic and conservative cases
• Impact of input changes
• Compare potential decision outcomes

Detecting Time-Series Patterns

• Seasonality and underlying trend separation
• Detect recurring temporal cycles
• Identify unusual time-based values
• Check pattern changes over time

Prioritizing Growth Opportunities

• Estimate size of each opportunity
• Assess feasibility of implementation
• Balance expected value and risk
• Select final growth priorities

Day 5: Building a Measurement Rhythm for Growth

Planning Dashboard Interfaces

• Simplify interactive navigation experience
• Organize content by importance
• Allocate space for critical metrics
• Guide attention across visual elements

Designing Executive Recommendations

• Explain numeric context clearly
• Define the required action
• Clarify expected recommendation impact
• State major constraints and risks

Sustaining the Measurement Cycle

• Appropriate measurement frequency for decisions
• Assign data collection responsibilities
• Current indicators when conditions change
• Connect measurement with improvement actions

• Present and justify applied decisions involving Identifying Growth Drivers
• Use an assessment to evaluate the quality of Analyzing Service Performance
• Review and improve outputs related to Detecting Time-Series Patterns
• Analyze realistic evidence related to Sustaining the Measurement Cycle