Day 1: From Result Definition to Indicator Design

Defining What Should Be Measured

• Frame observable and measurable results
• Distinguish activity output outcome and impact
• Identify actual user of measurement information
• Convert weak examples into result statements

Designing Indicator Architecture

• Choose measure types for the result
• Define numerator denominator unit and direction
• Prevent duplicated indicators measuring same condition
• Design three indicators for one result

Indicator Definition Card

• Write name purpose and intended interpretation
• Define source owner and reporting frequency
• Explain exclusions and exceptional cases
• Prepare an auditable indicator definition card

Day 2: Targets and Data Quality

Baseline and Comparison

• Choose baseline period representing normal performance
• Clean anomalous values without concealing them
• Use internal and external comparisons carefully
• Calculate a baseline from case data

Applied Target Setting

• Connect ambition with capacity and resources
• Avoid targets encouraging harmful behavior
• Break the target into time-based milestones
• Build target trajectory for selected indicator

Measurement Data Quality

• Test accuracy completeness timeliness and consistency
• Define validation rules before approving results
• Document limitations affecting confidence
• Run quality test on data set

Day 3: Interpreting Results and Taking Action

Reading Trends and Variance

• Compare results with targets and baseline
• Distinguish temporary movement from persistent pattern
• Segment data to reveal gap sources
• Analyze a monthly result series

From Measurement to Decision

• Frame management question explaining the deviation
• Connect indicator with supporting operational evidence
• Choose action proportionate to underlying cause
• Write performance commentary around the decision

Indicator Card Laboratory

• Present definition calculation target and source
• Test indicator against different use cases
• Address objections involving behavior or data
• Approve indicator card ready for application

• Exercises converting results into calculable indicators
• Formula and target labs using realistic data
• Quality checks exposing source and definition errors
• Variance cases ending in reasoned management commentary