Why Startups Fail: A New Roadmap for Entrepreneurial Success book cover

Why Startups Fail

A New Roadmap for Entrepreneurial Success

Tom Eisenmann
4.15 (475 Reviews)

Why Startups Fail 개요

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.

Why Startups Fail의 핵심 주제

  • startup failure patterns
  • resource alignment
  • entrepreneurial risk management
  • lean startup experimentation
  • founder-investor dynamics

Why Startups Fail의 명언

  • Premature scaling is like driving a car 100 miles per hour in first gear: unsustainable and destructive.

  • False positives are especially dangerous because they lead entrepreneurs to believe they are on the right track when they are not.

  • Bad Bedfellows occur when founders select the wrong investors, advisors, or employees.

  • Success requires both strong ideas and skilled execution.

Why Startups Fail의 등장인물

  • Tom EisenmannAuthor and Harvard Business School professor
  • Marc AndreessenTech luminary and venture capitalist

저자 소개

Why Startups Fail의 저자 소개

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.

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이 책에 대한 FAQ

Why Startups Fail analyzes common failure patterns in startups through a multi-year study of 470 tech companies. Tom Eisenmann, a Harvard Business School professor, introduces frameworks like the Diamond-and-Square model and explores failure causes such as founder conflict, false starts, and unsustainable growth. The book provides actionable insights to help entrepreneurs avoid pitfalls and build resilient ventures.

Aspiring entrepreneurs, startup founders, investors, and business students will benefit from this book. It’s particularly valuable for those seeking data-driven strategies to navigate early- and late-stage challenges, such as misaligned teams, premature scaling, and market misalignment. Professionals in tech, biotech, or digital health can also apply its lessons to industry-specific risks.

Yes—Eisenmann combines academic rigor with real-world case studies to offer a systematic roadmap for avoiding startup failure. Its focus on actionable frameworks (e.g., identifying "speed traps") and founder-centric advice makes it a standout resource for anyone building or investing in high-growth ventures.

This HBS-developed tool evaluates startup risks across eight dimensions: Founders, Investors, Team, Partners, Idea, Execution, Potential, and Market. Eisenmann argues that alignment among these factors is critical for success. Missteps in any area—like choosing incompatible co-founders ("Bad Bedfellows") or misjudging market timing—can derail ventures.

False Starts occur when founders rush into product development without validating assumptions. Eisenmann warns that skipping customer discovery or prototyping can waste months of effort, deplete resources, and force premature pivots. He advises balancing urgency with disciplined testing to avoid this trap.

Speed Traps arise when startups prioritize unsustainable growth over profitability. Eisenmann highlights the "LTV-CAC squeeze," where acquiring less-engaged customers costs more than their lifetime value. This pattern often emerges when scaling beyond early adopters without adapting strategies.

While based on tech startups, its principles extend to sectors like biotech, MedTech, and digital health. The book’s focus on founder-market fit, team dynamics, and market timing offers universal lessons, though industry-specific risks (e.g., regulatory hurdles in biotech) may require additional analysis.

Eisenmann’s observation that “Growth is not profitable” underscores the dangers of unchecked scaling. Another key line: “Startups fail not from homicide but suicide” emphasizes internal missteps over external competition.

Unlike anecdotal success stories, Eisenmann’s work focuses on empirical failure analysis. It complements titles like The Lean Startup by addressing later-stage risks (e.g., hypergrowth pitfalls) and providing structured frameworks rather than broad philosophies.

Some note its tech-centric case studies may not fully address capital-intensive industries like biotech. However, the core principles—founder alignment, market validation, and adaptive scaling—remain broadly applicable with contextual adjustments.

Eisenmann advises assessing a startup’s risk of failure by evaluating founder expertise, market fit, and growth strategies. Key questions include:

  • Does the team have domain experience?
  • Are they overbuilding for early adopters?
  • Is growth sustainably funded?

Founder-market fit refers to the alignment between a founder’s expertise and the startup’s target market. Eisenmann stresses that lacking industry knowledge or customer empathy—even with a strong product—often leads to failure.

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