Linking prefunding factors and high-technology venture success: An exploratory study
Authors: ['Juan B. Roure', 'Modesto A. Maidique']
Year: 1986
Methodology
- Sample: 8
- Design: longitudinal
- Data: Venture capital due diligence files, Investment proposals, Closing documents, Interviews with two major West Coast VC firms
Factors Extracted (11)
Prior joint work experience among founders [anecdotal] — Qualitative difference (Successful founders had more experience working together)
Team size and completeness [anecdotal] — Successful firms formed larger, more functionally complete teams
Functional experience depth [anecdotal] — Extensive experience in the specific function performed in the new venture
Experience in rapid-growth firms [anecdotal] — Prior experience in high-growth companies within the same industry
Buyer concentration [anecdotal] — Targeting product-market segments with high buyer concentration
Technological advantage/Product edge [anecdotal] — Ability to attain and sustain a competitive edge through technology
Speed to market [anecdotal] — Early market entry resulting in reduced competition
Market growth rate [anecdotal] — Not a differentiator (both success and failure groups targeted high growth)
Anticipated gross margins [anecdotal] — Not a differentiator (both groups anticipated high margins)
Founder equity share [anecdotal] — No correlation found between equity distribution and success
VC Board representation [anecdotal] — Not a differentiator (both groups had experienced VCs on boards)
Key Findings
- Successful ventures are characterized by 'complete' founding teams who have worked together previously and have deep functional expertise in their specific roles.
- Success is linked to targeting concentrated buyer segments where a technological advantage can be sustained, rather than just targeting high-growth markets generally.
- Early market entry through disciplined product development management was a primary differentiator for the successful cohort.
Limitations
- Extremely small sample size (n=8) limits statistical significance.
- Exploratory nature of the study means findings are suggestive rather than definitive.
- Focus is restricted to high-technology startups, which may not generalize to other sectors.
- Survival bias may be present in the selection of the 'successful' cohort (public companies with $65M-$500M sales).
Extracted by lib/ingest/literature_review.py via gemini-flash