Monte Carlo simulations for startup ideas: how I built a go-to-market stress test
When I and my Co-Founder -who as you will see have an experience in marketing and sales that sums up to zero, used to evaluate a new product idea, we did it the way almost everyone does: we get excited, read a few blog posts, ask three friends, then settle on one number that felt right and call it a plan. "We'll get 50 customers in three months." That number is the problem. It isn't a plan — it's…
Monte Carlo simulations are a powerful tool for evaluating startup ideas, especially when it comes to testing go-to-market strategies. The author, who has limited marketing and sales experience, built this stress test after experiencing frustration with unreliable idea evaluation methods.
Instead of relying on single point estimates, which hide important uncertainties, the simulation approach uses ranges and distributions to model uncertain inputs like conversion rates, costs, and churn. By running thousands of trials with these ranges, the simulation produces a distribution of possible outcomes rather than a single guess.
The most useful output from the simulation is not the forecasted number of customers, but rather identifying which assumptions the decision hinges on. This allows founders to focus their validation efforts on the most critical factors. The simulation also provides valuable insights into the relative cost-effectiveness of different go-to-market approaches and the range of possible outcomes.
However, the simulation has its limitations. It cannot predict the future with certainty, only showing the range of possible outcomes based on the assumptions provided. Additionally, the accuracy of the results depends on the quality of the inputs, so being honest about the assumptions is crucial.
CrashTest, the tool built from this simulation approach, allows founders to input their idea and key facts, then receive recommendations based on the simulations. While the Monte Carlo simulation is just one part of the analysis, the author emphasizes that it serves as a starting point for making better decisions and conducting reality checks. Ultimately, the author believes that a range, with the assumptions clearly laid out, is the most honest way for founders to approach their time and money decisions.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
