Bayesian Hiring Decisions

One Senior or Two Juniors?
Know the Answer.

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

The Problem with Gut-Feel Hiring

Ramp Time Ignored

"They'll be productive immediately"

Reality: Juniors take 6+ months to ramp

Management Overhead

"More people = more output"

Reality: Each hire costs manager time

No Risk Quantification

"What could go wrong?"

Reality: Churn, underperformance, culture fit

Data-Driven Headcount Decisions

HireModeler uses Monte Carlo simulation to model the uncertainty in hiring outcomes.

Candidate Modeling

Input expected productivity, ramp time, and your confidence level. We model the uncertainty.

Monte Carlo Simulation

5,000 scenarios simulated. See the full probability distribution of outcomes.

Scenario Comparison

Compare "1 senior vs 2 juniors" side-by-side. Know which has higher expected value.

Ramp Time Modeling

S-curve productivity ramp with uncertainty. Seniors ramp faster but cost more.

Risk Quantification

Know the probability of underperformance, churn, and needing another hire.

Cost-Per-Output Analysis

See the true cost per story point or deal. Factor in salary, equity, and overhead.

How It Works

Define Your Scenario

"Compare hiring 1 senior engineer at $180K vs 2 mid-level engineers at $120K each."

Set Your Priors

Estimate expected productivity, ramp time, and your confidence level for each candidate.

Run Simulation

5,000 Monte Carlo simulations model productivity, ramp curves, and risk factors.

Get Recommendations

See which scenario has higher expected output, and with what confidence level.

Simple Pricing

One plan. All features. Built for growing teams.

Pro

$ 199 /month

Billed monthly

  • Unlimited hiring scenarios
  • Monte Carlo simulation (5,000 iterations)
  • Side-by-side scenario comparison
  • Ramp time and productivity modeling
  • Churn and risk analysis
  • Cost-per-output metrics
  • Export reports (PDF)
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30-day money-back guarantee

What Engineering Leaders Say

"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."

VP of Engineering, Series B Startup

"The ramp time modeling alone is worth it. We finally have data to push back on 'just hire more people' pressure from the board."

CTO, Developer Tools Company

"I use it before every headcount discussion. The probability distributions help the leadership team understand why hiring isn't just addition."

Engineering Director, Fintech

Ready to Make Data-Driven Hiring Decisions?

Join engineering leaders who quantify headcount impact before committing budget.

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