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Get Out of the Building Without Getting Lost

  • Writer: Paul Peterson
    Paul Peterson
  • 2 days ago
  • 2 min read

“Get out of the building” remains one of the better pieces of advice to come out of the Lean Startup movement.


It pushed founders, product teams and engineers to stop building from internal conviction alone, and to spend more time with the people they hoped to serve. That was useful advice then. It is still useful now.


But it was never entirely sufficient.


Customer contact is not the same thing as customer understanding. More conversations do not automatically produce better decisions. In fact, more input, gathered indiscriminately, can make the work harder.


That is a problem I see more often now than a lack of customer access. Most teams are already surrounded by input. They have interviews, surveys, usage data, support tickets, sales feedback, advisory boards, community threads, win-loss notes and, increasingly, AI-generated summaries of all of it.


The shortage is not always data. The shortage, more often, is judgment.


And that is where teams get lost.


When you cast the net too broadly too early, you can create the feeling of learning while mostly adding noise. You hear edge cases before you understand the core case. You overreact to the loudest customers. You chase contradictions. You flatten distinct segments into averages that do not tell you much about where the category is actually going.


The goal should not be to invite input from everyone. That sounds democratic, but it is usually inefficient and often misleading.


The better question is: whose input is most likely to improve the decision in front of us?


That is where Catalytic Customers matter.


Catalytic Customers are people who are engaged enough to care, enabled enough to understand the context and tradeoffs, and candid enough to give feedback that actually helps move the work forward. They may be current customers, but they do not have to be. They may be experts, but that is not the point. They are not influencers, validators or applause machines.


They are useful because they can help you see the work more clearly.


They can tell you what is confusing, what is overbuilt, what is under-explained, what feels credible and what would break down in practice. More importantly, they can help you get underneath stated preferences to understand what people are really trying to accomplish, where current options fall short and which tradeoffs actually matter.


That kind of input is especially valuable when resources are limited and the decision carries consequences. Which is most of the time.


Five well-chosen conversations can sometimes clarify a product decision that a broad research effort only complicates. A few timely insights from the right people can help a team decide whether to continue, adjust, pause or pivot.


This is not an argument against scale. Large surveys, behavioral data and representative research all have their place. But early product and innovation work often needs direction before it needs statistical precision. It needs sharper judgment before it needs more volume.


So yes, get out of the building.


But don’t meander.


Know why you are leaving. Know what decision you are trying to improve. Know which customers are most likely to help you see the category, the product and the opportunity more clearly.


And make sure you know how to find your way back.

 

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