Dan Cable, 2018

“We are wired to explore our world, experiment and learn.”

Organizational-behavior professor Dan Cable used his 2018 TEDxLiverpool talk to explain the brain’s seeking system. He argued that many workplaces suppress curiosity even though exploration and visible impact help people feel alive at work. The quote frames motivation as more than reward and compliance. People engage when they can use strengths, learn through manageable experiments, and see how their effort affects another person or a meaningful outcome. The enduring management question is which decision the idea changes and what evidence would show that the interpretation is wrong. A decision journal can keep the original facts, uncertainties, and expected result available after memory has edited the story.

Managers can create small zones for exploration, connect employees with customers, and let teams improve the methods they use. Goals and safety constraints should remain clear while the path allows judgment and discovery. A useful principle should improve a choice before it becomes a retrospective slogan. Comparing that expectation with the outcome gives the team a practical basis for revising both the process and belief.

Experimentation without support can create anxiety or become unpaid extra work. Some roles require standardization, and novelty should never override safety, accessibility, or reliable service. That requires attention to incentives, affected people, and the conditions under which the idea stops applying. If costs fall on people outside the metric, those effects need an owner and a route into the review.

Automation is changing which tasks people perform while increasing the need for adaptation. Cable’s idea matters because curiosity can be designed into work instead of treated as a personality trait that employees bring alone. Ask one team where a rigid process blocks learning or customer connection. Give it a bounded experiment, time within normal workload, and a clear outcome, then share what changed even if the first attempt failed. Recording the decision and its limits gives future teams knowledge they can inspect rather than a success story they are asked to repeat. Improvement becomes credible when the organization reports disappointments as clearly as wins and shows what changed because of them. The strongest evidence combines a measurable outcome with a clear account of how the result was produced. Numbers show scale and direction, while interviews and exception logs reveal why the pattern occurred. Using both protects the organization from chasing a convenient average before the practice expands. Results should also be separated by the customer, role, or location most likely to experience a different effect. That check helps leaders improve the design before a small hidden cost becomes a scaled problem. A concise public note should show colleagues which observation changed the decision and when the next review will occur.