Does more data mean better decisions?
Not if you don’t know what the data is supposed to answer.
I’ve watched smart people build the 12th iteration of an analysis, request one more report, schedule one more stakeholder conversation — and call it diligence. Sometimes it is. More often it’s a decision that hasn’t been structured yet, dressed up as research.
Here’s the problem: analysis without a specific question is just information. It doesn’t decide anything. It accumulates.
The fix isn’t less analysis. It’s knowing what your analysis is in service of before you start. Not the decision itself — something smaller. A specific component. A question your data can actually answer.
Will this help me decide? How? Really, how? If you can’t pinpoint how a piece of information will change how you think or feel about one option versus another, it isn’t analysis. It’s stalling.
Early in my consulting career I worked with a sales organization trying to hit ambitious new targets. Their reps were scattered — trying to cover everything, calling everyone, moving nothing forward. They asked me for a dashboard. Something with all the data so they could deep dive and find the opportunities.
I didn’t build that.
We already knew the objective (hit quota), the criteria (potential, sales trend, last call date, opportunity status), and the options (their full customer list). The decision was structured. We didn’t need more data. We needed one question answered.
Who should I call?
That’s the dashboard I built. One view. One question. Reps stopped drowning in data and started making calls that moved the business forward.
The analysis served the decision. Not the other way around.