Data does not decide; the decision begins where the data ends — and data’s most dangerous use is hiding that boundary.
We live in the most-measured period in history. Every click is logged, every second trackable, every campaign’s dashboard real-time. And yet no one can claim that the quality of organisational decisions has risen at the same speed. Because a quiet substitution took place: measuring took the place of thinking. The dashboard filled up; the judgment emptied out.
The Comfort of the Dashboard
Dashboards have an anaesthetic effect. Looking at numbers feels like working; but looking is not an act. The scene I see most often is this: twenty minutes of metrics are read out in the meeting, everyone nods, the decision is postponed to the next meeting. Data has become the most respectable excuse for deferring decisions rather than feeding them — “let’s gather a bit more data” is the polite corporate way of saying “I lack the courage to decide.”
The second kind of damage is more insidious, and it has a name: Goodhart’s Law. The moment a measure becomes a target, it ceases to be a good measure. Target clicks and clickbait gets produced; target views and everything gets crammed into the first three seconds; target NPS and customers get lobbied before the survey. The numbers rise, the work rots. Metrics improving while the work deteriorates is the most expensive paradox of the data age.
The dashboard tells you what happened; never what to do. The thing that fills the gap is called judgment.
Without a Question, Data Is Noise
Data is worth exactly as much as the quality of the question that precedes it. Without a question, data is not an answer but noise — and noise, however precisely measured, remains noise. That is why my working order never changes: first thought — what do I want to know, and what will I do if I know it? Then structure — which data answers this question, at what certainty? Solution last — by the time the answer arrives, the decision is already half made.
Before letting a number onto the table, I ask three questions:
- Can this number change a decision — and if it cannot, why are we measuring it?
- If this metric becomes a target, what behaviour will it produce — and do I want that behaviour?
- Have I seen the human behaviour behind the number in the field, or do I only believe its chart?
The third question is the most neglected. The number is the shadow of the behaviour; whoever settles for the shadow never meets the object.
The Margin of Courage
And one more truth no dashboard can resolve: none of the important decisions are made with complete data. Market entry, positioning, a critical hire — their data is always incomplete at the moment of decision, because the future has not been measured yet. Whoever waits for complete data loses not the decision but the point of deciding; by the time the data is complete, the opportunity is on someone else’s balance sheet.
I call the gap the margin of courage. A good decision-maker is one who uses data to the very end but does not dump the filling of that gap onto the data. Data is the map; the foot that steps onto the terrain is yours. It is not the one with the most detailed map who arrives, but the one who dares to walk.