The dashboard is not useful when nobody trusts the numbers.
Sales, finance and ops teams lose time when exports, manual sheet edits and dashboard formulas disagree. The first job is to name the mismatch and make the report repeatable.
Sheets / CRM reporting repair
This proof shows a bounded first pass for messy Sheets, Excel or CRM reports: reconcile source rows, isolate rejects, check totals, protect logic and leave a repeatable acceptance check the buyer can run again next month.
Sales, finance and ops teams lose time when exports, manual sheet edits and dashboard formulas disagree. The first job is to name the mismatch and make the report repeatable.
The repair starts with a safe export or synthetic sample, then maps fields, dedupes rows, normalizes statuses, validates totals and separates reject rows for owner review.
Useful output is a workbook/report map, reconciliation table, protected formulas, reject queue, dashboard sanity check and a short handoff naming what still needs owner confirmation.
Repair flow
Start with a CRM export, Sheet tab, CSV or safe sample and record the expected reporting period.
Normalize owner, stage, date, value, status and required fields before formulas or charts.
Keep duplicates, missing owners, invalid stages and out-of-period records visible instead of hiding them.
Compare source totals, included totals, excluded totals and accepted rounding or currency rules.
Only then update KPI cards, filters, charts and exported summaries with a known data boundary.
Leave the refresh steps, protected ranges, owner checks and remaining risks in plain language.
Synthetic reconciliation board
Reusable intake
Send one redacted export or sample workbook, the KPI that is wrong, the expected period, the dashboard/report that must match and any rule that only the business owner can confirm.
Acceptance checklist
Good fit
Limits