This usually isn’t about which dashboard is “right,” it’s about why they’re different. I start by tracing the full lineage for both: source tables, transformations, filters, and assumptions baked into each query. Almost every mismatch comes down to a small definition gap like how cancellations, retries, or test data are handled. Once that’s clear, I align stakeholders on a single, canonical definition of the KPI. That definition becomes the reference point, not the dashboards themselves. Then I update queries or add a shared metrics layer so both dashboards inherit the same logic. You don’t need to rebuild everything, you just need to govern the definitions.