Forecast Accuracy Tracker
Are the calls trustworthy? Log forecast vs actual by rep and period, and find out who sandbags, who over-calls, and whether it is improving.
YOUR DATA NEVER LEAVES YOUR BROWSER. FILES ARE PARSED LOCALLY, NOT UPLOADED, STORED, OR TRANSMITTED.
| Period | Rep | Forecast called | Actual closed | Accuracy | |
|---|---|---|---|---|---|
| 116% | |||||
| 80% | |||||
| 115% | |||||
| 84% |
Per-rep accuracy
| Rep | Periods | Mean accuracy | MAPE | Bias | Hit rate |
|---|---|---|---|---|---|
| Rep B | 2 | 82% | 18.1% | Happy ears | 0% |
| Rep A | 2 | 116% | 15.7% | Sandbagger | 0% |
Team accuracy by period (100% = called it exactly)
Forecast vs actual (above the line = beat the call)
Rep B: happy ears
RiskMean accuracy 82% across 2 periods, an average miss of $55K per period against the call.
~$55K/period swing
Why it mattersOver-calling burns credibility and forces late-quarter scrambles when the gap surfaces.
Do thisReview this rep's category definitions deal by deal in the next forecast call. The pattern is 2 periods deep, it will not fix itself.
At Pace installs forecast inspection that makes the calls trustworthy: evidence-based categories, accuracy tracked by rep, bias corrected in the open.
METRIC DEFINITIONS: FORECAST ACCURACY · FORECAST BIAS · MAPE