The 12 Ways Startups Fail

In venture capital, optimism is a prerequisite, but judgment is a discipline. Founders must focus on how to succeed, while investors must judge the probability of failure. Conducting a “pre-mortem” (a hypothetical assessment of how a specific company is likely to die) can be a useful method for assessing risk.

Below is an enumeration of the twelve primary failure modes of startup companies, categorized by the source of the risk: the People, the Strategy, and the Environment.

1. Dysfunction & Divorce: The structural composition of the founding team is the most significant predictor of early-stage stability. Two or three co-founders are most effective. They typically have a balance of technical (”builder”) and commercial (”seller”) skills. Solo founders face “dictator risk”. Lacking a powerful peer to check the wisdom of their ideas, solo founder are more likely to waste time pursuing flawed strategies. Conversely, teams larger than three often succumb to “design by committee,” resulting in slow decision-making and diluted vision.

Beyond headcount, the interpersonal dynamic is critical. Startups depend on the synchronized involvement of the founders. “Founder divorce” is usually catastrophic. It can be caused by burnout, distrust, power struggles, or misalignment on vision. When a key founder departs, the company loses institutional knowledge and moral authority, often leaving it unable to execute its original vision.

2. The B-Team: A startup’s success is constrained by the competence of people. A well-known axiom states that “A-players hire A-players, but B-players hire C-players.” If the founders compromise on early hires, they trigger a cascade of mediocrity where managers protect their own status by hiring less-capable subordinates.

This failure mode is insidious because it is not immediately visible in the financial metrics. Although the company is shipping product and closing deals, velocity slows, innovation stagnates, and the culture shifts from performance-driven to politics-driven. Once a culture of mediocrity takes root, it is nearly impossible to reverse.

3. Poor Engineering Execution: In the early stages, speed is more important than stability. However, shipping a buggy product destroys trust among later customers, increasing churn and neutralizing sales efforts. Furthermore, if the underlying architecture cannot support the complexity of new features, the team is forced to step backwards to fix the product. Worse still, a lot of one-off development work for important customers steals time from implementing features that can be sold many times. In this respect, serving important customers well is a danger.

4. Poor Sales Execution: Many technical founders fall victim to the ‘build it and they will come’ fallacy, believing that a superior product will inherently attract customers. In reality, superior distribution often beats superior product.

Failure here is distinct from a lack of market need. Customers would buy the product if they knew it existed and could easily purchase it. The failure lies in the inability to find a channel that can repeatedly deliver customers. Depending on the business, direct sales, search discoverability, virality, or partnerships can be the best channels. A startup that cannot transition from founder-led sales to a repeatable sales process will stall at an early stage.

5. The Solution in Search of a Problem: The team builds a technically functional product that lacks sufficient utility to be commercially valuable. They repeatedly burn up runway until they can find no more investor money.

Worse, the team finds a niche market that is too small to support a venture-scale return. These companies become “Zombies”. They generate enough revenue to reach break-even and support the lifestyles of a small number of employees but never enough growth to justify follow-on capital or a liquidity event. For an investor, the Zombie is worse than a write-off. The fund gets stretched beyond its planned lifetime with deployed capital trapped indefinitely in a low-growth asset with no exit horizon.

6. Premature Scaling: Premature scaling is when a startup aggressively hires staff and ramps up marketing spend before achieving Product-Market Fit. The company burns through its runway struggling to acquire customers or acquiring ones who do not stay, resulting in high churn. This depletes the cash reserves, limiting the options for a pivot. This error of timing is often driven by pressure to show “vanity metrics” to investors.

7. Selling Dollars for 95 Cents: This is a failure of Unit Economics. If the average Customer Acquisition Cost (CAC) exceeds the average Lifetime Value (LTV) of that customer, the business cannot make money. While it is common to have negative margins in the early days while proving the product value, a startup cannot make up for negative unit economics through volume.

In this scenario, growth actually hurts. The more the company grows, the more money it loses. Businesses that are operationally complex or have highly variable costs are especially prone to failing to foresee deficiencies in unit economics.

8. Leaving Money on the Table: This occurs when founders, motivated by risk aversion or exhaustion, sell the company, even when it had a lot of growth potential. For a founder, a $20 million exit is a life-changing success. However, because of the growth targets of early stage venture capital, for a fund seeking 100x exit multiples to return the fund, a $20 million exit seems like a failure to capture the value latent in the company.

9. Exit Hubris: The inverse of risk aversion is greed. This occurs when a CEO receives an attractive acquisition offer but rejects it in the belief that the company will inevitably be worth significantly more. It is a failure to recognize when the value of cash-in-hand outweighs the theoretical value of future equity when adjusted for risk. Underestimating the probability of adverse events is a mistake. Ignoring visible market trends and fragility of present advantages is negligent.

10. Ambush: Competitors and other entities pose a risk of “ambush”. Competitive ambush is rarely about another startup. It is usually an incumbent waking up and replicating the startup’s advantages while having superior distribution. If a startup has not built a barrier to competition, incumbents can erode margins. Various barriers can help to avoid ambush: IP, proprietary data or know-how, control of critical inputs, infrastructure or distribution, exclusive agreements, network effects, switching costs (“stickiness”). See the Economics essay.

Ambush can also come from legal risks such as patent infringement lawsuits, trade secret theft, or improper behaviors. Legal risks are often foreseeable and usually avoidable. When they occur, they are expensive distractions. A well-resourced enemy can use litigation as a strategic weapon to drain a startup’s cash reserves, scare away customers, and divert management focus, even if the startup is in the right.

11. Sharecropping: This is the dependency of a business model built entirely upon another company’s platform (e.g., Facebook, Twitter, the Apple App Store). While this offers cheap initial distribution, it creates an existential dependency. The platform owns the users and sets the rules.

A sharecropping failure can occur when the landlord changes an API, alters the ranking algorithm, or decides to launch a competing feature natively. Overnight, the startup’s distribution channel or value proposition can be lost. If a company exists at the mercy of a third party’s Terms of Service, it does not control its own destiny.

12. Black Swans: These are high-impact, low-probability events that cannot be specifically predicted. Some examples are sudden regulatory changes, macroeconomic recessions, pandemics, and geopolitical conflicts. While each potential event is low probability, there are so many potential black swans that their cumulative probability is substantial.

Failure here is usually a lack of resilience: running the company with too little cash buffer or too much leverage. When the external shock hits, the fragile company breaks, while a resilient or antifragile company survives to capture the market share left behind by the failures.

Venture capital is a high-risk asset class. The expectation of tremendous potential returns must be discounted by the high risk. This enumeration of failure modes is meant to inform a disciplined approach to assessing potential investments. By recognizing the potential failures, investors can make better decisions that increase the probability of a VC fund’s success.