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Free Tool

Monte Carlo Epic Estimator

Get probability-based delivery forecasts for your software epics. Run thousands of simulations to understand the range of possible outcomes and make better planning decisions.

10,000+ Simulations

Run thousands of scenarios to get statistically meaningful results

Confidence Intervals

See 50%, 80%, 85%, and 95% probability completion dates

Visual Distribution

Interactive histogram shows the full range of possible outcomes

Instant Results

All calculations run in your browser - no backend, no waiting

Simulation Parameters

10%
15%
85%

No Results Yet

Configure your parameters and click “Run Simulation” to see the probability distribution of your epic completion.

What is Monte Carlo Estimation?

Monte Carlo estimation is a statistical technique that uses random sampling to understand the probability of different outcomes. For software project estimation, it simulates thousands of possible project paths based on your team's historical velocity data.

Instead of giving you a single estimate that's often wrong, Monte Carlo shows you the full range of possibilities. This helps you understand not just when you might finish, but how confident you can be in that date.

How This Tool Works

1

Enter Your Data

Input your epic's story points, team velocity range, sprint duration, and risk factors.

2

Run Simulation

The tool runs 10,000+ simulations, each with randomly sampled velocities following your chosen distribution.

3

Get Insights

See the probability distribution of completion dates with confidence intervals at 50%, 80%, 85%, and 95%.

Frequently Asked Questions

What confidence level should I use for commitments?

For external commitments or contractual deadlines, use the 85% or 95% confidence level. For internal planning and team goals, the 80% level provides a good balance between ambition and realism.

What's the difference between PERT, Triangular, and Normal distributions?

PERT (recommended) gives more weight to the most likely value and produces smoother results. Triangular is simpler but can feel more jagged. Normal assumes symmetric variation around the mean, which may not reflect real-world velocity patterns.

How do I determine my velocity range?

Look at your team's last 5-10 sprints. The minimum velocity should be your worst sprint, and maximum should be your best. If you don't have historical data, estimate conservatively and set confidence to "Low".

Is my data sent to any server?

No. All calculations run entirely in your browser. Your data never leaves your device. This tool is completely client-side with no backend processing.