KeelShift starts with the business decision, not the algorithm. The method is designed to make the analytical work understandable, testable and useful.
Analytical Flow
- Business understanding
- Data assessment
- Problem definition
- Analytical models
- Validation
- Interpretation
- Recommendations
What Makes It Different
The diagnostic separates signal from noise. It shows where customer behaviour is meaningfully associated with churn, where the data is too weak to support a conclusion, and where further measurement is needed.
Statistical methods, machine learning and modern analytical techniques are used where appropriate. They remain implementation details in service of the decision.
Trust Over Hype
Every recommendation should be traceable to evidence. When confidence is limited, the diagnostic says so.
