We won't tell you what you'll save.We'll tell you what you're already spending.
Onboarding is not free today — it is paid for in manager hours and doctor hours, and those hours are the most expensive ones in the building. Put your own numbers in, and the only claim we make is how much of that burden this would have to remove to break even.
Your current onboarding burden
$5,400 / year
- Manager and lead-tech time
- $1,800
- Doctor time
- $3,600
- Paid trainee time
- $0
- Platform at your price
- $1,788
Across your team that is $19 per person per month.
33%
OptoLearn only needs to remove 33% of your current onboarding burden to pay for itself.
Put another way: $3,600 of that is doctor time — 18 hours a year out of the lane, plus 60 manager hours.
Turnover, for context
Not counted above$36,608 / year
Gallup estimates replacing a frontline employee costs about 40% of annual salary — $18,304 at the wage above, annualised over 2,080 hours. This is deliberately left out of the break-even sum: training is one of several things that affect whether someone stays, and this product cannot claim a departure it avoided.
What this model does and doesn't do
It multiplies hours by rates. That is all — there is no benchmark, no industry multiplier and no assumed improvement rate hidden in it. Every number on the results panel is derived from something you typed, which means you can argue with the inputs rather than with us.
The break-even framing is deliberate. A calculator that promises a saving is asking you to accept that the product works before you have seen it work. A break-even share asks something smaller and more answerable: is it plausible this removes that much repeated teaching?
Three things it leaves out
- Turnover savings. Shown beside the result as context, never added to the burden. Training is one of several reasons somebody stays.
- Revenue from seeing more patients. The AOA delegation figures are real and they are on the evidence page, but modeling extra patients here would be inventing revenue you have not earned.
- The cost of an error. A missed red flag has a real price and no honest average. It is the reason the red-flag cases are in the rotation from day one, and it stays out of the arithmetic.