Our reports were accurate when the org was simple, but over time they’ve started giving inconsistent or confusing results. Multiple formula fields, record types, and automation now influence the same data. Different users also report seeing different numbers. I’m trying to understand why reporting accuracy degrades as complexity increases.
Reports depend on underlying data consistency. As more automation modifies records at different times and in different contexts, the same fields can mean different things across records. Formula fields, roll-ups, and timing of updates further amplify this.
Teams usually stabilize reporting by defining a single source of truth, simplifying formulas, and documenting how key metrics are derived.
Takeaway: Reports reflect system design quality, not just reporting configuration.