Why Startups Fail by Tom Eisenmann

Overview of Why Startups Fail
Harvard professor Tom Eisenmann's "Why Startups Fail" reveals six predictable patterns behind entrepreneurial collapse. Endorsed by top VCs and based on hundreds of founder interviews, this "gem" challenges conventional wisdom, offering crucial insights whether you're launching a venture or investing in one.
About its author - Tom Eisenmann
Thomas R. Eisenmann, author of Why Startups Fail, is the Howard H. Stevenson Professor of Business Administration at Harvard Business School and a leading authority on entrepreneurship and innovation.
A fixture at Harvard since 1997, he has shaped entrepreneurial education as Faculty Co-Chair of the HBS Rock Center for Entrepreneurship and creator of MBA courses like Launching Technology Ventures and Scaling Technology Ventures.
His book blends rigorous case studies with actionable frameworks to dissect startup failures, informed by his analysis of over 500 ventures and decades teaching founders. Eisenmann’s insights have appeared in The Wall Street Journal, Harvard Business Review, and Forbes, and he’s co-led Harvard Innovation Lab programs exploring entrepreneurship in tech, fashion, and the arts.
A former McKinsey consultant, he has authored over 100 Harvard Business School case studies on startups and platform strategies. Why Startups Fail synthesizes his groundbreaking research into a roadmap for founders, investors, and educators, cementing its status as essential reading in MBA programs and startup ecosystems worldwide.
Key Takeaways of Why Startups Fail
- Avoid “False Starts” by validating problem-solution fit before engineering begins
- Prevent “Speed Traps” by balancing growth rate with sustainable unit economics
- Bad Bedfellows partnerships destroy startups through misaligned incentives and poor governance
- Conduct customer discovery interviews before building to escape the MVP validation trap
- Late-stage failures often stem from premature scaling and LTV-CAC squeeze dynamics
- Entrepreneurs over-index on gut instinct when data-driven pivots could save ventures
- Founder-market fit matters more than credentials for navigating industry-specific challenges
- Startups die from a thousand papercuts – track leading indicators beyond revenue
- Investor psychology creates perverse incentives to pursue unsustainable growth trajectories
- Build organizational resilience through staged hiring rather than preemptive team expansion
- Apply portfolio diversification logic to mitigate technical and market risk simultaneously
- Tom Eisenmann’s failure taxonomy helps diagnose fatal flaws in early-stage ventures













