Why good products can still fail

In Southeast Asia’s tech scene, the startup ecosystem is rapidly evolving. Parallel to this growth is companies’ ability to build products at breakneck speed. Today’s tools—artificial intelligence, no-code platforms, and widely available technical talent—mean that teams can move from idea to execution faster than ever before. Speed to market is no longer the primary constraint.

But the gap between ease of creation and lack of validation has created a new problem: teams are perfectly executing technical roadmaps for products that have no commercial reason to exist.

Everything looks right, but it still doesn’t work.

I recently observed a SaaS team build a sophisticated tool to generate apps via AI prompts. They had the talent, the stack, and the speed. However, their target market was “anyone with a laptop.” When the product finally launched after several stalled attempts, there was zero adoption. They didn’t fail at building; they failed at relevance. Their issue was direction, not execution.

The cost of the ‘builder’s ego’

The “builder’s ego” is a balance sheet liability. We often treat product validation as a “nice-to-have” step that slows us down, but skipping it is an expensive shortcut. In product management, the 1:10:100 rule generally applies:

• $1 spent on research (validation) identifies a lack of need before a single line of code is written.
• $10 spent on correction is the cost of rewriting a feature mid-development because the requirements were wrong.
• $100 spent on failure is the total loss of capital when a finished product hits a market that doesn’t want it.

This isn’t just theory. CB Insights consistently finds that “no market need” is the primary reason for startup failure, accounting for 35% of all collapses.

When a team burns six months of engineering salaries on a feature that users never touch, they aren’t “moving fast”; they are bleeding R&D capital. This is a direct opportunity cost: those resources could have been deployed toward proven revenue drivers. The scale of this waste is significant—research from Pendo indicates that up to 80% of features in a typical software product are rarely or never used.

Interest is not revenue

The same pattern is playing out aclross Southeast Asia. Teams are spending significant capital building products for which there is no validated demand. This outcome is not a result of a lack of capability, but a lack of clarity.

Just because a test user says they “like the idea” or tries a demo once does not mean they are a customer. There is a commercial gap between interest, usage, and willingness to pay. The latter is the only metric that determines whether you have a product.

Speed without validation creates risk

There is a relentless push in our region to build quickly, launch early, and scale immediately. We believe speed creates a competitive advantage. But speed without validation only accelerates the rate at which you hit a wall.

This is where the concept of a Minimum Viable Product (MVP) is often misunderstood. An MVP is not a simplified version of a final product; it is a test designed to answer three questions: Who actually has this problem? Do they care enough to solve it? Will they pay for your specific solution?

The purpose of an MVP is to learn, not simply permission to ship. Without those insights, you aren’t scaling a solution—you are scaling your own assumptions.

Scale doesn’t fix broken

Scaling a product without validation simply makes failure more expensive. Today, the most successful founders are not those who ship the most code, but those who have the discipline to say “no” to unproven ideas.

When a product gains “accidental” traction, scaling often exposes underlying weaknesses. Costs rise, processes break, and quality becomes inconsistent. Scaling does not fix a weak product; it amplifies its flaws. At an industry level, this puts immense pressure on margins, as companies invest heavily in growth only to see returns eroded by issues that were built in from day one.

Ultimately, building new products is not a capability problem. The tools and knowledge to build are more accessible than ever. It is a discipline problem. Understanding who the product is for—and whether they will pay for it—remains central to building something that works.

The fundamentals have not changed; what has changed is how easy it is to ignore them.

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