Why customer-centric strategy matters more than ever
In an era where AI lowers the cost of building, the organisations that win are those that deeply understand their customers — and relentlessly focus on the right problems to solve.
1 March 2025 · 3 min read
The cost of building software is collapsing. What took a team of six months can now be prototyped in a week. This is genuinely transformative — but it creates a problem most organisations are not ready for.
When execution is cheap, strategy becomes the constraint. And most organisations do not have a reliable way to decide what is worth building.
The build trap
Technology organisations have long suffered from what Melissa Perri calls the build trap — the tendency to measure progress by output rather than outcomes. We shipped ten features. We hit our delivery targets. We went live on time.
But did any of it matter to customers?
In the project era, the build trap was survivable. Building was expensive enough that organisations were forced to be somewhat selective. In the AI era, that natural brake is gone. Organisations can now build faster than they can discover whether what they are building is valuable. The result is faster failure at lower cost — which sounds like progress, but is not.
What customer-centricity actually means
Customer-centric strategy is not about having customer journey maps on the wall. It is about having a reliable process for understanding what customers actually struggle with — and using that understanding to make difficult prioritisation decisions.
This requires three things that most organisations underinvest in:
Continuous discovery. Not annual surveys or quarterly research projects. A regular cadence of direct customer conversations, conducted by product teams, that surface real problems and challenge assumptions.
Problem framing before solution design. The discipline to articulate the problem at the right level of specificity before committing to a solution. Too vague and the team cannot act. Too specific and better solutions are closed off. The Goldilocks Zone of problem discovery.
Leadership alignment on what we are not doing. Customer-centric strategy is as much about saying no as it is about building. Without clear criteria for what is in and out of scope, every stakeholder’s idea gets added to the backlog.
Why AI makes this more urgent
AI is not just lowering the cost of building. It is also changing what is possible. New capabilities are emerging faster than most organisations can absorb them. This creates pressure to “do something with AI” — to build, experiment, and ship — without a clear view of which problems are worth solving.
The organisations that will win in the AI era are not the ones that move fastest. They are the ones that move with the most clarity about what their customers need — and design AI-native products that genuinely serve those needs.
That clarity comes from customer-centric strategy. Not as a one-time exercise, but as an ongoing discipline embedded in how teams work.
Want to talk through this?
Book a free discovery call with the Berst Consulting team.