DATADES
The numbers weren't wrong. The meeting wasn't bad. So why did nothing change?
Every day, people work incredibly hard.
They build reports, analyze data, attend meetings, review KPIs, improve forecasts, and create action plans.
And still, many organizations struggle to explain why so little actually changes.
Everyone is trying to improve.
And many teams keep solving the same problems.
Maybe the problem isn't effort.
A FAMILIAR FEELING
Nothing was obviously wrong.
The meeting happened. The dashboard worked. The numbers were accurate. Everyone seemed to understand what was happening.
Someone summarized the problem. Someone suggested an action. People nodded. The meeting ended.
Then a week later, the conversation began almost exactly where it had ended.
The biggest cost of a meeting isn't one hour. It's having the same meeting next week.
We usually describe this as an execution problem. Sometimes a communication problem. Sometimes accountability. Sometimes leadership.
And sometimes those explanations are right.
But we've started wondering whether the problem sometimes begins much earlier.
SCENES FROM WORK
You've probably seen some version of this.
Everyone agrees.
Nobody decides.
The problem is understood, but nobody knows what evidence would actually be enough to move.
The safest answer wins.
Not necessarily the best one.
The recommendation becomes the one nobody in the room can strongly disagree with.
More data creates more questions.
So we keep analyzing.
Nobody defined what information was actually required to make the decision.
The meeting ends.
Nothing changes.
Everyone leaves with a slightly different interpretation of what should happen next.
A DIFFERENT QUESTION
Maybe the problem isn't execution.
Maybe businesses don't fail because people ignore the data.
Maybe they fail because nobody agreed on what decision the data was supposed to help them make.
A dashboard can tell you what happened.
It cannot tell you whether the meeting changed anything.A report can explain yesterday.
It cannot explain why nobody acted today.A KPI can tell you performance improved.
It cannot tell you whether the decision behind it was good.
Outcomes aren't decisions.
Outcomes are consequences.
WHAT HAPPENS BEFORE THE RESULT?
Companies measure almost everything except the decisions that create the results.
Revenue. Margin. Inventory. Forecast accuracy. Conversion. Customer satisfaction. Productivity.
We measure thousands of outcomes.
But when those outcomes disappoint us, we rarely look closely at the decision process that produced them.
What information was available?
What assumptions were being made?
What alternatives were considered?
What evidence actually mattered?
Who owned the next action?
When should the decision be revisited?
What actually changed because this meeting happened?
BETTER DECISIONS
The goal isn't certainty.
Business decisions are rarely made with perfect information.
The goal is not to eliminate uncertainty. It is not to predict the future perfectly. And it is not to punish people whenever an outcome turns out badly.
The goal is to become better at deciding while uncertainty still exists.
A good decision isn't one that guarantees a good outcome. It's one you would be willing to make again with the same information.
DATADES
We explore what happens between data and action.
DataDes began with dashboards and business intelligence.
But dashboards revealed a deeper problem.
Better information does not automatically create better decisions.
So our work is moving upstream: from reporting results to understanding how organizations decide what to do next.
Not decision science as an abstract academic discipline, but as something that belongs inside ordinary work: sales meetings, forecasts, inventory discussions, pricing decisions, planning sessions, and the hundreds of small choices that quietly determine what a company becomes.
READ
Start with the problems that feel familiar.
Why Sales Meetings Reward Safe Answers
When sales are down, the answer nobody can disagree with may also be the answer least likely to change anything.
Read essay → DECISION SCIENCESales Teams Review KPIs Every Week. So Why Doesn't Anything Change?
Understanding the numbers may not be the same thing as knowing what decision they should change.
Read essay → DECISION SCIENCEWhy Teams Spend Hours Analyzing and Minutes Acting
More analysis can feel productive even when nobody has defined what decision the analysis is meant to support.
Explore essays →OUR DIRECTION
One day, companies may measure decision quality as naturally as they measure performance.
Not to judge people for being wrong.
Not to remove uncertainty.
But to help organizations understand how they decide, recognize the patterns that slow them down, and make the next decision better than the last.
Better data matters.
Better decisions matter more.