Insights From the Startup Genome Project
Inconsistent startups have 50% larger teams before scaling and 50% smaller teams after scaling.
Inconsistent startups raise 3 times more money in the Efficiency stage ad 18 times less money in Scale stage.
45% of startups that scale prematurely spend more than $ 15,00 per month on customer acquisition before optimizing their conversion funnels & acquisition costs. 80% of consistent startups spend less than $15,000.
Inconsistent startups grow 10-12 times faster in Discovery stage, 1.5-2 times faster in Validation stage, 7-8 times slower in Efficiency stage and 16-26 times slower in Scale stage.
Consistent startups have 50% more paid users in the Scale stage than inconsistent startups.
Enterprise startups that scale prematurely have 75% more paid users in Discovery and Validation stages compared to consistent startups.
23% consistent startups exceed 100,000 users.
99% of consumer focused startups that scale prematurely stay below 100,000 users.
On average, inconsistent startups outsourced 11% of product development in Discovery and 19% in Validation. Consistent startups outsourced 3 to 4%.
Lines of Code Written
Inconsistent startups write 3.4 times more lines of code in the Discovery stage and 2.25 times more lines of code in the Efficiency stage.
Focus in the Discovery Phase
77% of startups that scale prematurely focus 50% or more of their resources in Discovery stage on product development. 455 of consistent startups focus their energy on customer development.