You can build an MVP in a weekend today. AI tools like Lovable and Replit have transformed what once took six months and a six-figure budget into something a founder can prototype in days. So why are so many startups still struggling?
Because the bottleneck never formed. It was choosing. Choosing which customers to serve, which problems to solve, which jobs to compete for.
Across 40+ product teams, I’ve found that the founders who struggle aren’t the ones who can’t ship. They are the ones who repeatedly create the wrong product for the wrong audience. Speed only amplifies error when strategy comes first.
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The only decision that matters
Nine out of ten startups fail.
CB Insights analyzed 431 failed venture-backed startups and found that 43% of them died because of poor product-market fit (PMF), when a product doesn’t solve a real problem for a real audience. Nearly half built something no one needed.
Most of these founders had roadmaps, sprint plans, and weekly stand-ups. They were executing brilliantly – with the wrong strategy.
Product strategy is not a backlog of features. It’s just one decision: which client jobs will you compete for? Product Strategist Bob Moesta supported that “people don’t buy products. They hire them to do a job.” In other words, customers don’t buy features. They are looking for progress on a specific problem they are trying to solve.
Everything downstream depends on the success of things. Everything else flows from that decision. Your target market determines your customer segments. These segments shape your value proposition, your messaging, customer acquisition, and ultimately your profitability. If you make a bad decision, each subsequent decision becomes more difficult.
Three mistakes derail startups more often than almost anything else:
- Building for customer problems that don’t actually exist.
- Targeting a customer segment that is not profitable.
- Trying to serve too many audiences at once, creating a product that doesn’t particularly satisfy anyone.
A dental clinic I worked with hit this wall. Intuitively, they had achieved solid revenues, but they reached a plateau. After 22 customer interviews, they discovered their highest margin segment: patients who wanted all their dental work done in a single day. They rebuilt their product, their advertising, and their partnerships around this one work. Revenues jumped 37% in two months.
Understanding the chain is one thing. But here’s where it gets costly: Most founders don’t choose the wrong strategy. They choose the wrong client work to compete for.
The bad job trap
Companies serve customers who have many jobs, and the product competes for a small number of them – often not the most profitable ones. A larger, more creditworthy segment with more frequent needs may be right next door. But the founder doesn’t know it exists because he never looked.
What is the real danger? Bob Moesta calls it the “bipolar product problem”: trying to hold two contradictory jobs at once. “You end up creating a product that tries to do everything for everyone, and it ends up doing nothing for anyone.”
InVideo lived in this trap for three years. The video editing startup tried to serve beginners who wanted simplicity and professionals who wanted power. Each element pleased one half and angered the other. Revenues remained stable.
Then they did something counterintuitive. InVideo laid off half of its clients and went from $0 to $25 million in six months. They conducted job interviews, chose newbies, removed pro features, and focused the entire product on a single job. The difference was not a better product. It was a better decision on the problem at hand.
Every time you build a feature instead of mapping customer tasks, you pay an opportunity cost that you can’t see on any dashboard.
Alright, how do you consistently find a better job to compete for? There are approximately 80 product strategy mechanisms. Here are five practical strategies founders can implement.
Five game-changing moves
- Move to the next level position. Stop solving a narrow task and own the larger outcome that your customer actually cares about. A branding consultant went from selling strategic documents at $1,500/month to a full personal branding service at $4,500/month. Same team. Triple revenue per customer.
- Moving upmarket. Serve a more profitable segment with the same basic service. Freshworks started as a cheap Zendesk alternative for small teams. Then they moved upmarket to enterprise. Customers paying over $50,000/year increased 23% year over year, while the total number of customers barely budged. The result: a profitable first quarter under GAAP and annual revenue of $840 million.
- Own previous job. Address your customer’s concerns Before they need your product. A real estate agency created a content channel answering questions buyers have before they start looking for an apartment. Their return on marketing investment increased from 800% to 1200%.
- Capture the next job. Once a customer is done hiring your product, what do they need next? Sell that too. Toast started as restaurant point-of-sale software. Then they noticed that restaurants needed salaries, loans, marketing and insurance – the jobs that came with it. After process payments. Restaurants using Toast Payroll buy twice as much product and pay $4,000 to $5,000 more per year. Toast has surpassed $2 billion in annual recurring revenue by owning the entire restaurant job sequence.
- Completely kill the job. Don’t make it easy, eliminate it. Slider did not improve coding by 10%. This killed entire categories of development work: boilerplate, multi-file refactoring, bug finding. The result was one of the fastest growth stories in enterprise software.
JetBrains: When demographics lie
These mechanisms are not theoretical. This is what they look like when a real product team applies them.
JetBrains had an issue with Kotlin Multiplatform, their cross-platform mobile development tool. The delay was drowned in unresolved problems. Traditional demographic segmentation (company size, industry, team composition) hasn’t taught them anything useful about priorities.
So they instead segmented by jobs. They found that mobile developers hired their product for two specific tasks: reducing errors in complex business logic through shared code and preserving native UI customization on each platform. Their competitors had all bet on “faster release cycles”. Bad job.
The team focused on the two jobs that developers really cared about. The result: +11% market share IN ONE YEAR and top 3 cross-platform technologies with React Native and Flutter as competitors.
Product/market fit expires
Product-market fit is not something you achieve once and keep forever. In the age of AI, it expires approximately every 90 days.
Companies like Lovable illustrate how quickly customer expectations can evolve in the age of AI. The app maker generated $200 million in revenue in its first year, but Elena Verna, who leads growth there, says the team needs to find its footing every quarter — each new wave of model capabilities resets what customers expect.
It works when your market moves gradually and predictably. It breaks down when a technological leap renders your entire category useless overnight – ask Chegg, which went from a market cap of $14 billion to $191 million after ChatGPT replaced its core service.
Client tasks are not static. The work your client hired you to do six months ago may not be the work they need today. Segment selection is not a one-off decision. It is a continuous detection process.
So where does this leave you? With a decision to make – ideally before Monday.
Three questions for tomorrow morning
Before opening your project management tool, ask yourself:
- Can you name the specific job your product is hired for? Not the functionality. Not the category. The actual work: the problem your customer is trying to solve when they choose you.
- Is this the most rewarding job available to you? Or is it just one you stumbled upon? A more profitable segment with more urgent work may be right next door.
- When was the last time you checked if the answer was still valid? If it’s been more than 90 days, your adjustment may already have expired.
Get those three answers right and the roadmap writes itself. If you’re wrong, no amount of execution will save you.
Before your next sprint planning session or roadmap meeting, take some time to review the customer work you’re solving. Markets evolve, customer expectations change, and product-market fit is not permanent. The startups that continue to win aren’t always the ones that grow the fastest. They are the ones who continually make better strategic decisions about the people they serve and the problems they solve.
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