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?
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Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.