Most Power BI dashboards die the same death: an enthusiastic launch, two weeks of curiosity, then silence — while the CEO goes back to asking finance for 'the real numbers'. The failure is rarely Power BI. It's three decisions made before the first visual was dragged onto the canvas.
Decision 1: Whose Monday morning is this for?
A dashboard for everyone is a dashboard for no one. The executive version answers five questions in ten seconds: are we ahead or behind, where, and what changed? The operations version drills to the invoice. Build them separately, from the same model — never as one crowded compromise.
Decision 2: Model first, visuals second
Slow, contradictory dashboards trace back to flat exported tables and copy-pasted calculations. A proper star-schema model with measures defined once — revenue means the same thing on every page — is invisible to executives and is precisely why they trust it. If two pages can disagree, they eventually will, and trust never recovers.
Decision 3: Make it arrive
Executives don't open tools; tools reach them. Scheduled refresh, a morning snapshot by email or WhatsApp, alerts when a threshold breaks. The dashboard that gets used is the one that shows up — with numbers that were true five minutes ago, not last Friday.
The pattern behind all three: treat the dashboard as a product with one user's Monday morning in mind, not as a gallery of available charts. That's the difference between decoration and a decision tool.