The math
A daily leak prices differently than an occasional one.
The flood happens every business day, at the same hours, to your highest-intent callers. Here's the arithmetic, with every assumption in the open.
Four numbers, multiplied
| Factor | Where it comes from |
|---|---|
| New-patient inquiries per week | Your answer — midpoint of the range you pick |
| × estimated peak-miss rate | Conservative lookup keyed to your Peak-Hour Score — more flood hours and slower recovery push it up |
| × close rate for your practice type | Conservative working assumption, stated in the report |
| × value of one patient relationship | Your answer |
A clinic with 28 inquiries a week, a score in the "Leaking" band (28% peak-miss rate), a 25% close rate and a $2,500 average patient: 28 × 4.3 × 28% × 25% × $2,500 ≈ $21,000 a month drowning in two predictable windows a day. Predictable is the operative word — this is the rare leak whose location and schedule you already know.
Estimates from your own answers using stated assumptions — labeled that way in every report. The $500 discovery replaces the estimate with a measurement.
The staff cost the spreadsheet misses
The flood also spends your people: the desk's best employee ends every day having lost races they were never given tools to win, apologizing to the counter AND the phone. Peak-hour churn at the front desk is expensive and demoralizing — and much of it traces to structurally impossible noons. Covering the flood is a retention play as much as a revenue one.
Run it with your numbers
Three minutes. Every assumption labeled, every input yours.
Score your peak hours