Love the Question, Not the Answer
Love the Question, Not the Answer
One of the things I’ve become increasingly interested in isn’t data itself, but how people react to questions about data.
In most organisations, we like to think of ourselves as evidence driven. We talk about making data informed decisions, building a single source of truth, and trusting the numbers. Yet I’ve noticed that as soon as someone starts asking where those numbers came from, the tone of the conversation can change remarkably quickly.
Instead of exploring the question, people often begin defending the answer.
That shift fascinates me because it changes the role of data entirely. Data stops being a way of understanding the world and becomes something to protect. The conversation is no longer about learning. It’s about being right.
I’ve started to wonder whether one of the biggest challenges facing organisations isn’t poor quality data at all. Perhaps it’s our relationship with certainty.
The strongest analytical teams I’ve worked with have never been obsessed with having the answer. They were obsessed with asking better questions.
Where did this figure come from?
What assumptions sit behind it?
What evidence might change our minds?
What can’t this metric tell us?
Those questions don’t weaken confidence in the analysis. They strengthen it because they force us to understand the foundations beneath the conclusion.
That’s why I’ve increasingly found myself returning to a simple phrase.
Love the question, not the answer.
Questions create curiosity.
Curiosity creates understanding.
Understanding creates better decisions.
The opposite is equally true. Once we become emotionally invested in an answer, every question starts to feel like criticism. Requests for methodology become challenges to credibility. Curiosity becomes mistaken for scepticism.
At that point, data is no longer helping us think. It’s helping us defend a position.
That is a dangerous place for any organisation.
Whether we’re discussing operational performance, customer behaviour, AI outputs, or financial forecasts, the most valuable person in the room is often not the one with the answer. It’s the one asking the question nobody else has considered.
Good data cultures recognise that.
They don’t reward certainty.
They reward curiosity.
Because organisations that stop asking, “How do we know that?” rarely stop making decisions.
They simply start making them with increasing confidence and decreasing understanding.