Get data-driven completion dates with Monte Carlo simulation. Upload your task estimates, receive professional probability forecasts in seconds.
Get Your Free Forecast →You've been asked this question countless times. You add up task estimates, pad with a buffer, and cross your fingers. But you know that single-point estimates ignore the uncertainty that plagues every project.
When projects slip past your "confident" deadline, stakeholders lose trust. You're left explaining why reality didn't match your spreadsheet—again.
Adding 20% buffer to each task? That's just guessing with extra steps. Without understanding probability distributions, you're either overpromising or leaving weeks of buffer on the table.
ProbPlanner uses Monte Carlo simulation—the same technique used by NASA, consulting firms, and Fortune 500 companies—to turn your task estimates into defendable probability forecasts.
Get completion dates at 50%, 85%, and 95% confidence levels. Tell stakeholders: "We have an 85% chance of finishing by March 15th" instead of "We'll definitely finish by March 15th."
Our cumulative distribution charts show the entire range of possible outcomes. Identify high-risk scenarios and make informed decisions about buffers and commitments.
Download publication-ready PDF reports with charts, statistics, and per-task breakdowns. Present data that makes stakeholders say "This team knows what they're doing."
Create a CSV file with task estimates: optimistic (5%), most likely (50%), and pessimistic (95%) scenarios. Support for multiple experts (SMEs) and task dependencies built-in.
Download CSV Template →Upload your file, enter your email and start date. Our engine runs 100,000+ Monte Carlo iterations in seconds, modeling realistic probability distributions for each task.
Receive a comprehensive report with probability distribution charts, completion dates at multiple confidence levels, risk analysis and buffer recommendations, plus downloadable PDF and raw data.
Join project managers, engineering leads, and consultants who use probability-based planning to deliver more predictable outcomes.