Let the MI Speak: Stopping Narrative Bias in Your Data

Many senior managers and leaders inadvertently bend their MI to fit a story they have already decided to tell. The charts are technically correct, but the filters, time windows and comparisons are chosen to support a preferred outcome rather than to surface the truth. When that happens, the MI stops being a decision tool and becomes a prop. The real risk is not just bad optics; it is that organisations commit to the wrong priorities, back the wrong changes, and then act surprised when benefits never materialise. Letting your MI speak for itself starts with a simple discipline: decide what questions you are asking before you look at the numbers, and write those questions down. Instead of, “How do we show this programme is working?”, ask, “What is our data telling us about whether this programme is working and where it is not?”. That one shift forces you to confront uncomfortable signals: adoption that is patchy, benefits that are behind the business case, risk indicators that are creeping up. If you allow those signals to stand as they are, without immediately explaining them away, you create space for better decisions.

The problem most organisations are actually trying to solve is not a “data” problem; it is a courage problem. Senior sponsors want certainty, delivery teams want to show progress, and no one wants to be the person who says, “The MI does not support the story we have been telling.” So numbers get trimmed, outliers get parked in an appendix, and trend lines start suspiciously at the one point where things look good. Over time, people notice that the narrative always wins, and they stop trusting the MI altogether. At that point, you have reports, but you no longer have management information.

If you want MI that genuinely improves outcomes, you have to protect it from narrative capture. That means agreeing a small set of standard metrics and cuts of the data that stay the same from meeting to meeting, even when they are uncomfortable. It means reviewing those metrics first, before the slide deck story, and inviting challenge from people who are close to the work, not just those close to the sponsor. And it means getting used to a different kind of leadership moment: “We thought X, but the MI is clearly telling us Y, so we are going to change course.” The more you normalise that response, the more your MI becomes a trusted partner in decision‑making instead of a prop for the story you wanted to tell.