Candidate Modeling
Input expected productivity, ramp time, and your confidence level. We model the uncertainty.
Stop guessing on headcount decisions. HireModeler uses Bayesian simulation to show you the probabilistic impact of different hiring scenarios on your team's velocity.
No credit card required
"They'll be productive immediately"
Reality: Juniors take 6+ months to ramp
"More people = more output"
Reality: Each hire costs manager time
"What could go wrong?"
Reality: Churn, underperformance, culture fit
HireModeler uses Monte Carlo simulation to model the uncertainty in hiring outcomes.
Input expected productivity, ramp time, and your confidence level. We model the uncertainty.
5,000 scenarios simulated. See the full probability distribution of outcomes.
Compare "1 senior vs 2 juniors" side-by-side. Know which has higher expected value.
S-curve productivity ramp with uncertainty. Seniors ramp faster but cost more.
Know the probability of underperformance, churn, and needing another hire.
See the true cost per story point or deal. Factor in salary, equity, and overhead.
"Compare hiring 1 senior engineer at $180K vs 2 mid-level engineers at $120K each."
Estimate expected productivity, ramp time, and your confidence level for each candidate.
5,000 Monte Carlo simulations model productivity, ramp curves, and risk factors.
See which scenario has higher expected output, and with what confidence level.
One plan. All features. Built for growing teams.
Billed monthly
30-day money-back guarantee
"We were about to hire 3 juniors. HireModeler showed us that 1 senior + 1 mid would produce 15% more output with lower risk. Saved us $100K and a management headache."
"The ramp time modeling alone is worth it. We finally have data to push back on 'just hire more people' pressure from the board."
"I use it before every headcount discussion. The probability distributions help the leadership team understand why hiring isn't just addition."
Join engineering leaders who quantify headcount impact before committing budget.
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