4 Product Failures and What They Teach Product Managers
Product failure is the educational experience that most product managers would prefer to avoid — but the lessons embedded in notable product failures are often more actionable than those from success stories. Successful products benefit from multiple reinforcing factors that are hard to disentangle; failed products often point clearly to the specific mistake that determined their fate.
These four product failures — each significant enough to have been extensively studied — illuminate specific, generalizable lessons about how products fail and how those failures can be anticipated.
Failure 1: Google Glass — The Solution Looking for a Problem
Google Glass launched with impressive technology, significant marketing investment, and genuine consumer interest driven by novelty. Within two years, the product had been essentially withdrawn from consumer markets.
The fundamental problem wasn’t technical failure — the glasses worked as described. The failure was building a product that solved problems users didn’t have in ways that created significant social friction they hadn’t anticipated. The core features (head-mounted display, camera, voice commands) each addressed use cases that most users could address more conveniently with their phones, while introducing the social awkwardness of face-mounted cameras that made ordinary interpersonal interaction uncomfortable.
The lesson: Technical capability doesn’t create user value. Products that solve problems users don’t have — regardless of how impressive the technical execution — fail because the user motivation to adopt them doesn’t exist. Validating the problem before investing in the solution is not optional.
Failure 2: Juicero — The Overcomplicated Solution
Juicero raised over $100 million to build a $400 wifi-connected juice press for proprietary juice packs. Reviewers eventually discovered that the juice packs could be squeezed by hand without the press, producing roughly the same output in roughly the same time.
The lesson: Complexity without proportionate value destroys commercial viability. The Juicero press created technical complexity and charging significant premiums for a problem that required neither the complexity nor the premium. Product managers who lose sight of the simplest viable solution to a user’s genuine problem create the Juicero problem: impressive engineering in service of unnecessary complexity.
Failure 3: New Coke — Ignoring the Full Product
Coca-Cola’s taste tests showed that consumers preferred New Coke’s taste to the original formula. What the taste tests didn’t measure was the emotional and cultural meaning of Coca-Cola to its users — the brand associations, the nostalgia, the identity signals — that were independent of taste but central to the product’s value.
The lesson: Products are more than their measurable features. The metrics you optimize for may not capture the full product value that users actually care about.
Failure 4: Amazon Fire Phone — Solving the Wrong Problem
Amazon’s Fire Phone launched with impressive technical features (dynamic perspective, Firefly object recognition) designed to facilitate Amazon shopping from a phone. Users already had mechanisms for shopping on Amazon from their phones; the features solved a problem that didn’t exist in a way that couldn’t compete with iOS and Android’s established ecosystems.
The lesson: Solving problems that users have already solved adequately doesn’t create value. The Fire Phone’s features were technically impressive answers to questions users weren’t asking.
Key Takeaways
The four product failures above illuminate persistent failure patterns: building solutions for non-existent problems (Glass), creating unnecessary complexity (Juicero), optimizing for measurable features at the expense of unmeasurable value (New Coke), and solving already-adequate problems (Fire Phone). Each represents a pattern that appears in product development regularly — and each could have been caught with more rigorous problem validation before significant investment was committed.
Pattern Recognition Across Failures
The four failures described here reveal a consistent pattern: each product failed because a critical assumption about user value was built into the product without adequate validation. Glass assumed users needed a head-mounted interface; Juicero assumed the press was necessary for the use case; New Coke assumed taste was the primary value driver; the Fire Phone assumed users needed a separate shopping device. Systematic problem validation — before significant investment — would have revealed each of these assumption failures at a fraction of the cost of the product launch that exposed them.