Start with an actual business question
Ask what you need the dashboard to decide: where qualified enquiries come from, whether a landing page is improving, or how much a first purchase costs. The question determines the measures.
Separate business outcomes from diagnostic signals. Impressions, clicks and sessions explain parts of the journey; confirmed enquiries and sales show what happened further along it.
Define the events consistently
Write down when an event should fire, which system records it and who validates it. A form submission should count after successful receipt, not every time someone presses a button.
Use a shared naming convention for campaign links and document exclusions such as internal testing. Test the complete path and account for duplicates before making a performance claim.
Show the limits of the data
Consent choices, device changes, offline conversations and platform attribution windows create gaps. Different advertising platforms can take credit for the same sale; adding their reported conversions can overstate the total.
Use first-party records where available to understand enquiry quality. Aggregate reporting should avoid collecting personal details that are not required for the decision.
End with a decision and an owner
A useful review names the change, why it is being made, who owns it and when it will be checked. Where volumes are low, acknowledge uncertainty rather than treating a small percentage change as proof.
AI can summarise trends and draft questions for investigation. Verify the source numbers and the explanation before using that summary to change budgets or make public claims.
Turn the idea into a practical next step.
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