Imagine a team watching a supplier’s delivery times increase. The numbers are clear. The meaning is less settled. Is the delay seasonal, a local disruption, or an early sign of a lasting change? Each explanation suggests a different response.
Our working distinction is that information becomes useful to a decision when people can connect it to context, examine the interpretations it supports, and understand what action is at stake.
Begin with the decision
Before asking for more data, name the choice. Who needs to decide? By when? What would happen if they waited? An observation that matters to a long-term investment may have little bearing on tomorrow’s operating schedule.
Stating the decision also makes it easier to see whose experience is missing. A pattern viewed from a dashboard may look different to the people working inside it.
Keep the explanation open
A coherent account can be persuasive before it is well supported. We find it useful to separate three things: what was observed, how it is being interpreted, and which assumptions connect that interpretation to a proposed action.
Return to the delayed supplier. One explanation may justify holding more inventory. Another may justify changing suppliers. Making those alternatives explicit helps a team examine the cost of being wrong.
Know what would change your mind
A judgment becomes more useful when it comes with conditions for revision. Identify the next observation that would strengthen it, weaken it, or make it irrelevant. Record the reasoning so another person can revisit it.
What evidence would lead us to make a different decision?
That question sits at the center of our Narrative World Modeling work. It keeps inquiry connected to responsibility and gives changing evidence somewhere to land.