08-12-2026, 08:33 PM
A dashboard should help somebody make a decision. Start with the decision, not a chart library.
Write: “Who decides what, and how often?” Then identify the minimum measures needed. Define every metric: source, time window, formula, owner, and caveats. Build a simple version, test it with the decision-maker, and remove unused views.
“Sales performance” is broad. “Which regions need follow-up this week because qualified leads fell below target?” is actionable.
What dashboard metric is most often misunderstood in your organisation?
Write: “Who decides what, and how often?” Then identify the minimum measures needed. Define every metric: source, time window, formula, owner, and caveats. Build a simple version, test it with the decision-maker, and remove unused views.
“Sales performance” is broad. “Which regions need follow-up this week because qualified leads fell below target?” is actionable.
What dashboard metric is most often misunderstood in your organisation?
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.