The Metric

Lego Education has a straightforward way to know whether a learning exercise worked: count how many different things came out of it.

If ten groups of children are given an open-ended building challenge and all ten produce the same structure, the design team goes back to the drawing board. Not because the kids failed — because the exercise did. It offered only one path through, and everyone took it.

Andrew Sliwinski, head of product experience at Lego Education, calls this standard 'solution diversity.' It is, at its core, a quality control metric for thinking.

Why It Matters Beyond the Classroom

Sliwinski's background is worth noting. Before Lego, he co-directed Scratch at the MIT Media Lab — the free programming platform used by hundreds of millions of children worldwide. His career has been built on a single conviction: the point of a real learning experience is not to produce the right answer but to produce many possible answers, and then navigate among them.

That conviction has an obvious application in product design and education. Its application in corporate leadership is less obvious and more consequential.

The brainstorm where someone goes 'off topic' and gets redirected to the 'task at hand' is the adult workplace equivalent of the classroom that crowds out imaginative, socially messy play. Both moves feel like efficiency. Both eliminate the reframe that might have been the better path.

Leaders who consistently train their organizations to converge fast — to find the answer, align behind it, and execute — are not building decisive cultures. They are building monocultures with a single point of interpretive failure.

The Business Case for Divergence

Consider what convergence costs in a genuinely ambiguous market. The AI category currently carries multiple, competing meanings in the public mind: productivity tool, existential risk, infrastructure investment, regulatory target. Those meanings are not fixed. They are being renegotiated continuously, and they affect everything from product adoption curves to data center policy.

An organization that has trained itself to read the market one way — and act on that reading — has not achieved clarity. It has achieved exposure.

Solution diversity is the organizational hedge against that exposure. It is not a license for endless deliberation. It is a design requirement: build processes that generate multiple viable readings before committing to one.

The MBA Problem

Approximately 75% of Fortune 500 top-20 CEOs hold an MBA or other graduate degree. Business school is, by most measures, the dominant pipeline for senior leadership. It is also, by design, a system that rewards correct answers.

That is a reasonable approach to fixed problems. It is a poor approach to the kind of problems that actually define leadership careers — markets that shift, categories that get redefined, organizations that need to see around corners they haven't turned yet.

Sliwinski's argument, and the argument embedded in Lego Education's design philosophy, is that the most valuable thing a leadership development program can produce is not better analysis of known problems. It is better tolerance for — and active generation of — multiple framings of unknown ones.

What Operators Should Take From This

Solution diversity is a metric any organization can steal. Apply it to your next strategy session: did the process generate genuinely different options, or did it generate one option with varying levels of polish?

If the latter, the process failed — regardless of how good the chosen option looks. You didn't evaluate alternatives. You rationalized a default.

The fix is not to hire more creative people. It is to stop designing processes that punish divergence before it has a chance to become useful.