Deep-dive guide
Onboarding Ramp Productivity Simulator: What a New Hire Really Costs Before They Pay Back
Executive industry analysis
A new hire is the only purchase most companies make where the full price is paid immediately and the product arrives in instalments. On the first day salary, benefits, equipment and a desk are all at their final level, while the person can usually do only a fraction of the work. The gap between what is paid and what is produced is the ramp, and for skilled roles it commonly lasts several months. Most hiring plans ignore it and assume a new person is worth their full output from the start, which is why a team that hires quickly can feel poorer for a year before it feels richer.
The structure of the problem is a race between three clocks. The first is the ramp clock: how fast output climbs from a small starting point to full productivity. The second is the mentor clock: every hour a colleague spends teaching is an hour taken from their own work, often from your most productive people. The third is the exit clock: some hires leave early, and when they do the ramp investment disappears and the whole cycle restarts. A cohort is profitable in its first year only when the ramp is short enough, the mentoring is cheap enough and enough people stay.
The domino cascade makes this visible. A longer ramp lowers the average productivity across the year. Lower productivity means each month of full output costs more to obtain, and the mentor drag grows with it because teaching lasts as long as the ramp does. The cost of a productive month then rises above the value of that month, and the cohort result turns negative. Each stage feeds the next, so a delay that looks harmless in the first box can turn the last box red. Because the curve is a straight line, one extra month of ramp costs roughly the same every time.
The iceberg separates what finance sees from what the business pays. Above the waterline are salary and setup, which appear in the budget. Below it are four costs that never get a line: the output given up while hires ramp, the mentor time taken from other work, the output lost when hires quit and the cost of recruiting their replacement. For many teams the hidden part is larger than the visible setup cost. Use the simulator to find the ramp length where your cohort stops paying for itself, then decide whether to shorten the ramp, mentor more efficiently or hire fewer people at a time.
Formula and methodology blueprint
The model averages the first twelve months of a cohort. Productivity starts at 20% of full output and rises in a straight line to 100% over the ramp length, then stays there. Average productivity is the area under that curve divided by twelve. Mentor hours run only while the hire is ramping and are priced at the hire's hourly cost with a 20% seniority premium. Early quitters are assumed to be gone for half the window on average, and each one costs two months of salary to replace.
- Average productivity
- P = [R × (0.2 + 1) / 2 + (12 − R)] / 12
- Area under the ramp line across twelve months, where R is the ramp length. At R = 12 the average is 60%.
- Mentor cost per hire
- M = mentor hours × (salary / 160 × 1.2) × R / 12
- Hours taught each month, priced at a senior hourly rate and averaged over the year because teaching stops when the ramp ends.
- Output after exits
- O = full value × P × (1 − quit × 0.5)
- Value produced per month after allowing for hires who leave and are gone half the window on average.
- Replacement cost
- X = quit × 2 × salary / 12
- Expected monthly cost of recruiting and filling the seats of early leavers.
- Cohort result
- Net = hires × (O − salary − M − setup − X)
- Monthly result of the cohort, where setup is 1,200 per hire spread over the year.
- Cost of a productive month
- E = (salary + M) / P
- What you pay for each month of full-output work while the cohort is ramping.
Cascading elasticity
Ramp length and full-output value are the most elastic inputs. Each extra month of ramp removes about 3.3 points of average productivity, which at typical salaries costs more than the mentor time saved. Early quits come next because they hit both output and replacement. Salary and hire count are linear, so they act as a threshold: they move the break-even point but do not change its shape.
Three real-world case studies
Bootstrapped starter
A small firm hires its first employee
A three-person agency hires one junior at a modest salary for a clearly defined role. The ramp is short because the work is narrow and the founder mentors a few hours a week. Quits are rare. Load it to see how a single hire pays back quickly when the job is simple.
Scaling mid-market
A scale-up hires a twelve-person wave
A growing company starts twelve people in one quarter into mid-priced roles. Mentors are experienced, the ramp is four months and attrition is low. Absolute numbers are large because many people ramp together. Load it to see how a single month of ramp costs tens of thousands at this size.
Black-swan crisis
A specialist wave that never ramps
A company hires six senior specialists into a complex product with little documentation. Ramp stretches to ten months, mentors lose a quarter of their week and four in ten leave within the year. Load it to see how the investment disappears twice, first in slow output and then in exits.
Industry benchmark matrix
| Metric | Danger zone | Industry average | Top 10% elite |
|---|---|---|---|
| Ramp to full productivity (skilled roles) | Above 8 months | 3–6 months | 1–3 months |
| Mentor time per ramping hire | Above 25% of a month | 8–15% | Below 8% |
| Hires lost in the first year | Above 25% | 10–18% | Below 8% |
| Average year-one productivity | Below 65% | 75–85% | Above 90% |
| Setup cost per hire (equipment, licences, training) | Above 5% of annual salary | 2–3% | Below 2% |
Variables and levers
New hires in the cohort
People starting in the same period. Each follows the same ramp curve and cost.
Lever: Hire in smaller, staggered waves so mentors are not overloaded; a cohort larger than the mentoring capacity stretches every ramp.
Monthly cost per hire
Salary plus payroll taxes, benefits and equipment lease for one person per month.
Lever: Agree the offer against the realistic first-year output, not the full-productivity figure, and avoid paying a premium that the ramp cannot repay.
Monthly value at full productivity
What a fully ramped person produces per month, in revenue, billable work or avoided cost.
Lever: Point new hires at the work with the highest value first, so the early months of partial output still earn real money.
Ramp length
Months until the hire reaches full output. Productivity climbs in a straight line from about 20% on day one.
Lever: Write a thirty, sixty, ninety day plan with concrete first deliverables, because a clear path shortens the ramp more than any extra training day.
Mentor time per month
Hours a colleague spends teaching, reviewing and answering questions for each hire while they ramp.
Lever: Replace ad hoc help with scheduled sessions and recorded walkthroughs, so mentor hours are used once and reused many times.
Early quit rate
Share of hires who leave within the first year, taking the investment made in them.
Lever: Fix the first ninety days: honest job previews, a named buddy and early feedback cut exits more than a later retention bonus.
How to use this simulator
- 1Enter the number of people starting together and the monthly cost of one hire.
- 2Set the full-output value and your honest estimate of ramp length for the role.
- 3Add the weekly mentor hours and the share of hires you expect to lose in year one.
- 4Read the five dominoes and find the first stage that turns amber or red.
- 5Compare with the structured programme in the Parallel universe tab and share the link with your team.
Mistakes to avoid
- Assuming full output from day one. The plan looks profitable only because the first months of partial productivity were never counted.
- Treating mentor time as free. It is paid for twice, once in the mentor's salary and again in the work that did not get done.
- Averaging ramp across all roles. A two-week ramp in support and a seven-month ramp in engineering give a misleading mean, so model each role separately.
- Ignoring early exits when judging the programme. A cheaper onboarding that leaves people lost can save setup money and lose far more in output and replacement.
Frequently asked questions
How long should a ramp take?
It depends on the role. Simple, well-documented tasks can ramp in weeks, while complex technical or sales roles often take several months. Compare yourself with similar roles in your own company first.
Why does the model start at 20% productivity?
Even on day one most hires can do a small part of the job. The 20% start is a modelling assumption; a role with heavy prerequisites would start lower, so treat the result as a guide.
Is mentor time really a cost?
Yes. The hours a mentor spends teaching are taken from their own work, so the cost is their opportunity value, which this model prices at their hourly cost plus a seniority premium.
Does faster hiring ever pay off?
It can, if the roles are simple, mentors have capacity and the market is moving. The simulator shows the price of speed so you can compare it with the value of getting to market sooner.
What does the structured programme change?
It shortens the ramp by 30%, cuts early quits by 30% and adds some mentor effort up front. It costs a one-off playbook plus a small amount per hire, and the 24-month tab shows when that pays back.
How accurate is this?
It is an educational planning model with the assumptions stated above, not HR or financial advice. Replace the inputs with your own figures and compare with your actual first-year results.
This is an educational planning model with stated assumptions. It is not financial, tax or legal advice. Replace the inputs with your own figures and verify important decisions with a qualified professional.