Standard KPIs work fine until your business model gets complicated. This workshop is for managers dealing with multi-stakeholder processes, long sales cycles, or products where success is hard to quantify immediately.
We start with your actual problem: maybe customer satisfaction scores keep rising while retention drops, or your team hits every target but revenue stays flat. These contradictions usually mean your KPIs measure the wrong things.
The Technical Work
You will learn statistical methods for validating whether a metric actually correlates with business outcomes. We cover weighting systems when multiple factors matter, normalization techniques for comparing unlike units, and time-series analysis for spotting trends hidden in monthly fluctuations.
Expect to work with regression models, cohort analysis, and attribution frameworks. The math is high school level, but the application requires clear thinking about causation versus correlation. You leave with metrics designed specifically for your business complexity.
Program Structure
Workshop Modules
- Diagnosing why current KPIs mislead decision-makers
- Statistical validation of metric-outcome relationships
- Multi-factor weighting and normalization methods
- Attribution modeling for complex customer journeys
- Cohort analysis and retention metrics
- Building predictive indicators from historical data
Prerequisites
You should be comfortable with Excel formulas and basic statistics. Experience managing teams for at least two years helps contextualize the examples.
Technical Requirements
Laptop with Excel 2016 or newer. We provide datasets and templates. Optional: Tableau or Power BI for visualization exercises.