Startup Genome Report Extra on Premature Scaling¶
Marmer, M. (2011). Startup Genome Report Extra on Premature Scaling: A Deep Dive into Why Most High Growth Startups Fail.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Product-Market Fit
- Early-stage product strategy — the home: the central criterion distinguishing a company ready to scale from one that still needs to search (Andreessen's formulation, Blank's customer development, Ries's lean startup), and the pivot-toward-where-pull-originates move. Growth and retention analytics — reading fit off pull signals (cohort retention without reactivation, organic referral, churn under competitive entry) and demoting paid-acquisition top-line growth to a known vanity-metric false positive. Venture diligence and investment — an investor reads pull signals to judge readiness-to-scale, and the premature-scaling failure mode (CAC rising, LTV flat, growth stalling as cohorts churn) as the predicted symptom of funding distribution before fit
This sourcePremature scaling - scaling distribution before fit is confirmed - as the predicted and most expensive startup failure mode.
- Early-stage product strategy — the home: the central criterion distinguishing a company ready to scale from one that still needs to search (Andreessen's formulation, Blank's customer development, Ries's lean startup), and the pivot-toward-where-pull-originates move. Growth and retention analytics — reading fit off pull signals (cohort retention without reactivation, organic referral, churn under competitive entry) and demoting paid-acquisition top-line growth to a known vanity-metric false positive. Venture diligence and investment — an investor reads pull signals to judge readiness-to-scale, and the premature-scaling failure mode (CAC rising, LTV flat, growth stalling as cohorts churn) as the predicted symptom of funding distribution before fit
- Scale-Before-Fit
- The lean-startup framing names this "premature scaling"
This sourceThe Startup Genome definition of 'premature scaling' as scaling a startup ahead of its validated stage, in a framework built on Blank's customer development. The Startup Genome finding that premature scaling was the most common reason for poor startup performance, with 74% of high-growth internet startups in its sample failing from it.
Supported in partVerified against the source
- The lean-startup framing names this "premature scaling"
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