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Segway Found Its Real Customers. Then Ignored Them

by | Sep 7, 2026

FICTION · An Unfair Advantage Intervention

Fiction. Real history. Sourced below.

Segway is taught as a product-market-fit failure, which is true and useless. Run it through Magnificent Obsessions and the specific failure appears: Segway spent enormous capacity on engineering and almost none on customer intelligence — and the intelligence it never gathered had already identified its real customers. Security patrols. Warehouses. Campuses. Tours. It found the green segment by accident and spent the next five years chasing the red one anyway.

I’m Claire Anderson, and my job at Cartwell was end-user research — going past the buyer to the person actually using the thing. So Segway is the case I find hardest to read charitably, because the intelligence that would have saved it was cheap, available, and never collected. The popular verdict is that nobody needed it. That’s the deepest cause and it’s still too coarse to act on. Let me show you what a proper intelligence discipline would have found, and when.

Full fiction disclosure and sourcing note

This is a work of fiction. Claire Anderson is a fictional character from The Unfair Advantage by Todd Hagopian, and Cartwell is the book’s fictional company. Claire analyzes the real, documented history of Segway from the present day; she never met or spoke with Dean Kamen or any other real person, and no dialogue is invented for anyone. The only words attributed to real people are their genuine, publicly documented statements. Segway was privately held and did not release financial results, so unit figures are drawn from recall disclosures and contemporaneous reporting rather than company accounts. The historical facts are accurate and sourced as of 2026; the framework analysis is invented.

The Most Anticipated Punchline in Tech

Before anyone saw it, the device codenamed Ginger was the most hyped product in years, and the hype was the trap. Dean Kamen predicted it would be to the car what the car was to the horse and buggy, and talked of cities being redesigned around it. He also, more concretely, predicted Segway would be the fastest company in history to reach a billion dollars in sales, and expected to produce up to 10,000 units a week after the first year.

That second set of claims matters more than the poetry, because it is an operating plan and it is falsifiable. It tells you what the company believed about its market, and it tells you the belief was never tested.

On December 3, 2001 the Segway was unveiled on Good Morning America, and the world saw a sophisticated, self-balancing two-wheeled scooter. The engineering was genuinely remarkable. But after months of being told this would obsolete the automobile, “a clever scooter” could only land as anticlimax. The gap between a promise to replace the car and a $4,950 machine you stood on didn’t merely disappoint. It defined the product as a joke before it had a chance to find the customers it could actually serve. That’s not marketing falling short. That’s a self-inflicted wound.

Magnificent Obsessions: The Research Nobody Did

Magnificent Obsessions is a customer and competitor intelligence discipline built on two pillars and one budget rule. The Customer Obsession pillar covers end-user research beyond the buyer, total-cost-of-ownership analysis, Conversion Death Point forensics, and Pain Point Archaeology. The Competitor Obsession pillar covers business-model deconstruction and competitive response patterns. The budget rule — the 5% Rule — allocates 5% of capacity to intelligence and 95% to execution.

Segway ran the execution at close to 100% and the intelligence at close to zero, and each missing piece maps to a knowable answer.

TCO analysis would have surfaced the real comparison immediately. The competing product for a short urban trip is walking, which costs nothing, requires no charging, needs no storage, and carries no social penalty. Against a $4,950 machine with a battery costing over a thousand dollars, no total-cost argument closes for a consumer. That analysis takes an afternoon.

Competitor Obsession would have named the actual competitive set, which Segway never did. It was not other personal transporters. It was walking, bicycles, cars, and transit — incumbents that are free or already owned, and therefore effectively impossible to displace on cost. Segway analyzed a category that had no other members and concluded it had no competition.

Pain Point Archaeology — asking why until you reach the actual pain — is the one that would have changed the company. Consumers don’t have a pain worth $4,950 on a two-mile trip. But a security guard covering miles of ground per shift does. So does a warehouse worker, a campus patrol, a tour operator. That pain is measurable, it recurs daily, and the cost is justified against labor rather than against walking.

Segway eventually found those customers. It found them by accident, after launch, from inbound demand — which is what happens when you skip the 5% and let the market do your research for you at full price.

The Right-to-Win Matrix: Green Found, Red Attacked

The Right-to-Win Matrix scores each segment on current share, right-to-win, and market size, then colors it: green means real opportunity plus a genuine right to win, attack now; red means low share and weak right to win, exit or de-prioritize. Segway’s matrix, filled in honestly in 2002, would have been unusually clear.

Green: police and security patrols, warehouses, large industrial and corporate campuses, military bases, guided city tours. Real, quantifiable pain. A cost justified against labor rather than convenience. And a right to win that was close to absolute, because nobody else made a self-balancing personal transporter and the incumbent alternative was walking the route.

Red: the mass consumer commuter. Low share, and a right to win that was not weak but negative — every use case was already served better and cheaper by something the customer owned or could do for free, and sidewalk bans meant there was often nowhere legal to ride.

Segway attacked red with a billion-dollar sales target and treated green as a consolation prize. That is the precise inversion of what the matrix is for. Had it launched quietly into the green segments, proven value, earned reference customers, and expanded from genuine demand, the story reads entirely differently — and it would have had a real revenue base while battery costs fell.

Five Years Solving the Wrong Problem

The most instructive part of the Segway story is what happened after the evidence arrived, because the company diagnosed the wrong constraint and then executed hard against it for years.

By 2006, Segway had launched a consumer financing program managed by GE’s finance arm for machines costing $4,000 to $5,500, with a sales executive citing sticker shock as the deterrent. In the same reporting, consumer sales still accounted for about 60% of the business — five years after launch, with the professional segments proven and the consumer segment demonstrably not working.

Read that as a diagnosis and it says: our problem is that consumers cannot afford this. Financing is a rational response to that diagnosis. But the diagnosis was wrong. The problem was never that consumers couldn’t afford a Segway; it was that they had no pain that a Segway solved, at any price. Monthly payments do not create a need. Meanwhile the segment that did have the pain was being served as an afterthought.

This is what the 5% Rule actually protects against. Intelligence isn’t a pre-launch activity you complete and file. Without a standing discipline, a company will keep answering the question it asked at the beginning, using increasingly sophisticated tactics, long after the market has answered a different one.

What Actually Happened

Segway launched at $4,950 in December 2001 after extraordinary pre-release hype. The company was privately held and did not release financial results, so the sales record comes from recalls and contemporaneous reporting. A September 2003 recall revealed that only about 6,000 units had sold, against an expectation of 50,000 to 100,000 in the first thirteen months. A second recall in 2006 covered all 23,500 units then in existence — a five-year cumulative total below what the company had hoped to sell in its first year.

The device found durable footholds in police and security patrols, warehouses, campuses, and guided tours, where the economics worked and appearance was irrelevant to the job. It never found the consumer market. Sidewalk bans and legal ambiguity left riders with nowhere clearly legal to go, the machine was bulky and awkward to store or carry up stairs, and an early employee’s assessment of a significant “dork factor” was widely shared.

George W. Bush was photographed falling off one in 2003. Kamen sold the company in 2009. British businessman Jimi Heselden bought it in 2010 and died months later in an accident while riding one. Ninebot acquired Segway in 2015, and the original Segway PT was discontinued in 2020.

The twist that makes this more than a punchline: the mobility future Segway promised did arrive. The gyroscope and lithium-battery technologies became cheap enough to power a flood of $300 to $500 electric kick-scooters, and Segway-Ninebot became a major force in exactly that market. Segway was right about personal electric mobility. It was a decade early, several thousand dollars too expensive, and pointed at the wrong product.

From the Operator’s Chair

I’m Todd Hagopian, and product strategy is literally my job — currently as VP of Product Strategy and Marketing at JBT Marel, previously across Berkshire Hathaway, Illinois Tool Works, and Whirlpool. Segway is the case I put in front of any team that has fallen in love with its own technology. Three disciplines.

First, protect the 5% or the market will charge you full price for the research. Segway did not lack the ability to find its customers. It found them — after launch, from inbound demand, having already spent the hype and the positioning. Five percent of capacity on customer and competitor intelligence sounds like a luxury when you’re behind schedule, and it’s the cheapest information you will ever buy. The alternative is not skipping the research. It’s conducting it in public, at scale, with your reputation as the budget.

Second, name your real competitive set, and include the free option. Segway’s competition was walking. Not another transporter, not a scooter company — walking, which costs nothing and is already installed in every customer. Most product teams I’ve watched define their competitive set as companies that look like them, which systematically excludes the incumbent that actually wins: doing nothing, or doing what they already do. If you cannot beat the free option on a total-cost basis for a specific person with a specific recurring pain, you do not have a product yet.

Third, when the evidence contradicts your diagnosis, change the diagnosis, not the tactics. This is the discipline Segway most conspicuously lacked, and the one I find hardest personally. They concluded the constraint was affordability and built a financing program — a competent, well-executed answer to the wrong question, five years into evidence pointing elsewhere. When something isn’t working, the instinct is to try harder at it. The move is to ask whether the thing you’re trying harder at is the thing that’s broken. Segway had its answer sitting in its own order book the whole time.

The Monday Morning Playbook

  • Budget the 5%, explicitly. Put a named share of capacity on customer and competitor intelligence and defend it when the schedule slips. It is the cheapest research you will ever buy, and skipping it doesn’t cancel the research — it just moves it into public at full cost.
  • Run TCO against the free option. Before pricing, compare your total cost of ownership to doing nothing, or to what the customer already owns. If the comparison doesn’t close for a specific person with a specific recurring pain, you have a demonstration, not a product.
  • Fill in the matrix before you pick a target. Score every segment on share, right-to-win, and size. Then check whether you are attacking green or red. Segway’s greens were security, warehouses, campuses, and tours — and it launched at the red.
  • Do Pain Point Archaeology on the user, not the buyer. Ask why until you reach a pain that recurs daily and is measurable in labor. Consumers had no such pain. Security guards did.
  • Re-examine the diagnosis, not just the tactics. If a fix isn’t working after a couple of cycles, the constraint you named is probably wrong. Financing a product nobody needs is a well-executed answer to the wrong question.

The Contrarian Reappraisal

The consensus verdict — Segway failed because nobody needed it — is correct and too coarse to act on. Three refinements make it usable.

The failure was intelligence, not need. “No customer need” describes the outcome. The mechanism was a company that ran execution at full capacity and intelligence at near zero, and so never performed the TCO analysis, competitor definition, or pain-point work that would have identified its real customers before launch instead of after.

The right customers existed the whole time. Police and security patrols, warehouses, campuses, and tours had genuine, recurring, measurable pain and economics that worked. Segway found them, then treated them as a consolation prize while chasing a segment where the incumbent alternative was free. Green was available. It attacked red.

The failure was overdetermined, and the diagnosis stayed wrong for years. Price, sidewalk bans, bulk, stigma, and self-inflicted hype all compounded on top of the missing need. And the most instructive part is what came after: by 2006 the company was financing consumer purchases while consumer sales were still 60% of its business, five years into evidence that the professional segments were the real market. A single-cause story misses that. So does any story that ends at launch.

The Segway Timeline

  • 2001 (pre-launch) — the device codenamed Ginger draws extraordinary hype; Kamen predicts the fastest company in history to a billion dollars in sales and expects up to 10,000 units a week after year one.
  • December 3, 2001 — the Segway is unveiled on Good Morning America at $4,950, and the gap between the promise and the product defines it as a punchline.
  • 2002–2003 — the machine finds real traction in police and security patrols, warehouses, campuses, and guided tours; consumer adoption does not materialize.
  • September 2003 — a recall reveals only about 6,000 units sold, against an expectation of 50,000 to 100,000 in thirteen months; George W. Bush is photographed falling off one.
  • 2006 — a second recall covers all 23,500 units in existence; Segway launches GE-backed consumer financing while consumer sales remain about 60% of the business.
  • 2009–2010 — Kamen sells the company; Jimi Heselden buys it in 2010 and dies months later in an accident while riding one.
  • 2015–2020 — Ninebot acquires Segway; the original Segway PT is discontinued in 2020 as cheap electric kick-scooters built on descendant technology fill cities.

By the Numbers

  • ~6,000 vs 50,000–100,000 — units actually sold by the September 2003 recall against what Segway expected to sell in its first thirteen months.
  • 23,500 — total units in existence by the 2006 recall, a five-year cumulative figure below the hoped-for first-year total.
  • $4,950 — the launch price, with the battery alone costing over $1,000; later machines ran $4,000 to $5,500.
  • 10,000 units a week — Kamen’s expected production rate after year one, against roughly 23,500 units in five years.
  • ~60% consumer — the share of Segway’s business still coming from consumers in 2006, five years after the professional segments had proven themselves.
  • 5% vs ~0% — the intelligence budget the discipline calls for, against what Segway appears to have spent before launch.

Frequently Asked Questions

Why did Segway fail despite impressive technology?

Because it never did the customer intelligence work that would have identified its real market before launch. A total-cost analysis would have shown that the competing option for short trips is walking, which is free. Pain-point research would have found the segments with genuine recurring pain — security patrols, warehouses, campuses, tours. Segway found those customers only after launch, from inbound demand, having already spent its positioning on the consumer market.

How many Segways were actually sold?

Segway was privately held and did not release financial results, so the figures come from recalls. A September 2003 recall revealed only about 6,000 units had sold, against an expectation of 50,000 to 100,000 in the first thirteen months. A second recall in 2006 covered all 23,500 units then in existence — a five-year cumulative total below what the company had hoped to sell in year one.

How much did a Segway cost and why so expensive?

The Segway launched at $4,950 in 2001, with later machines running $4,000 to $5,500. The battery alone cost more than $1,000, which made a cheap version impossible to engineer at the time. The price was a real independent barrier, but not the core problem: by 2006 Segway had launched consumer financing to address sticker shock, which treated affordability as the constraint when the actual constraint was the absence of a consumer pain worth solving.

Where did the Segway actually succeed?

In police and security patrols, warehouses, large industrial and corporate campuses, military bases, and guided city tours. In those settings a worker covering miles of ground per shift got measurable benefit, the cost was justified against labor rather than against walking, and appearance was irrelevant to the job. Those were the green segments, and Segway found them by accident rather than by research.

What is the real lesson of Segway for product teams?

That skipping customer and competitor intelligence doesn’t cancel the research — it relocates it into public, at full price, after launch. Name your real competitive set including the free option, run total-cost analysis against it, find the segment with recurring measurable pain, and start there. And when evidence contradicts your diagnosis, change the diagnosis rather than executing harder against it.

About the Stagnation Assassin

Todd Hagopian is a Fortune 500 product and transformation executive who has driven $3B+ in shareholder value across Berkshire Hathaway, Illinois Tool Works, Whirlpool, and JBT Marel, where he is VP of Product Strategy and Marketing. Known as The Stagnation Assassin, he turns proprietary frameworks — including Magnificent Obsessions and the Right-to-Win Matrix — into field-tested tools for product teams deciding which customers to serve and which to walk away from. He is the author of The Unfair Advantage and the Stagnation Assassin series, a Forbes contributor, and an award-winning keynote speaker. Connect with Todd on LinkedIn or bring him to your stage via his speaking page.

Segway’s real customers were security patrols, warehouses, and tour operators, and it found them by accident after launch. Skipping the intelligence work doesn’t cancel the research. It just moves it into public, at full price, with your reputation as the budget.

The customer and competitor intelligence discipline behind finding the right market before you build is in The Unfair Advantage.

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