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@mattwensing
This is 1 of
14,000,605
futures …
2008
2013
2016
WHEN NON-LINEARITIES ATTACK
2013 - 2018
MANUFACTURING AGE FORECASTINGTOOLS
Pattern Recognition Simulation
20th century linear production 21st century non-linear production
Metrics → Forecast Model → Forecast → Metrics → Model
Deterministic → one scenario Probabilistic → many scenarios
Limited inputs due to complexity. Complexity only limited by
computational capacity.
Output forced to fit a pattern. Output can surprise you!
I. Human sales reps have a finite capacity.
II. All distribution channels eventually saturate.
III. New hires have a ramp-up period.
IV. Time is the enemy of all deals.
V. All systems, including humans, make mistakes.
VI. Engineers build value.
VII. Marketing communications value.
VIII. Customer success delivers value.
IX. Sales captures value.
X. Drag on organization increases as it scales.
Laws (Governing Equations)
Starting Conditions (from ex. Stripe, Baremetrics, etc.) Or Estimations.
Slow climb to profitability then — wait what?!
Startup B is (suddenly) not a happy place to work.
2,002 STARTUPS OVER 4YEARS
IN _____ WETRUST
“Guys, I think we’re
living in a 

simulation …”
THE ROLE OF SIMULATION
Bringing beginners up to the knowledge level of veterans.
Running experiments before real-world trial-and-error.
Focusing us on business model definition, not forecasting.
Understanding all metrics are output of your engine.
Yielding surprise solutions we hadn’t considered: ML?
@mattwensing

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Matt Wensing (Founder, SimSaaS) - 1 Startup In 10 Years vs 1,000 Startups in 10 Minutes

  • 1. @mattwensing This is 1 of 14,000,605 futures … 2008 2013
  • 5.
  • 6. Pattern Recognition Simulation 20th century linear production 21st century non-linear production Metrics → Forecast Model → Forecast → Metrics → Model Deterministic → one scenario Probabilistic → many scenarios Limited inputs due to complexity. Complexity only limited by computational capacity. Output forced to fit a pattern. Output can surprise you!
  • 7.
  • 8.
  • 9. I. Human sales reps have a finite capacity. II. All distribution channels eventually saturate. III. New hires have a ramp-up period. IV. Time is the enemy of all deals. V. All systems, including humans, make mistakes. VI. Engineers build value. VII. Marketing communications value. VIII. Customer success delivers value. IX. Sales captures value. X. Drag on organization increases as it scales. Laws (Governing Equations)
  • 10. Starting Conditions (from ex. Stripe, Baremetrics, etc.) Or Estimations.
  • 11. Slow climb to profitability then — wait what?!
  • 12. Startup B is (suddenly) not a happy place to work.
  • 14. IN _____ WETRUST “Guys, I think we’re living in a 
 simulation …”
  • 15. THE ROLE OF SIMULATION Bringing beginners up to the knowledge level of veterans. Running experiments before real-world trial-and-error. Focusing us on business model definition, not forecasting. Understanding all metrics are output of your engine. Yielding surprise solutions we hadn’t considered: ML? @mattwensing