Part 2. Analysis for Better Decisions

Team reviewing analytics charts on a laptop and smartphone

Most analyses do not fail because the numbers are wrong. They fail because they answer a question nobody needed answered.

Imagine spending two weeks preparing a deck: fifty slides, every KPI covered, clean charts, fresh data. The CMO listens for twenty minutes and then asks, “So what? What should we do?”

The problem is not the data quality. The problem is that the deck explains what happened, but not what decision should change. The CMO does not need a recap. She needs to decide where to move next quarter’s budget.

That is what it means to design analysis for better decisions: start with the decision, then design the question, metrics, and story around it.

This part covers three practical skills: framing a vague request as a decision-oriented business question, designing KPIs that diagnose the problem rather than decorate a dashboard, and turning findings into a story that leads to action.

After this part, you will be able to:

Start analysis from business decisions, not metrics
Translate vague requests into clear business questions and hypotheses
Design KPIs that diagnose business gaps and avoid vanity metrics
Use KPI trees to connect outcomes, drivers, and actions
Structure findings as a decision story using the SCR framework