Can you find signal in noise, story in chaos?
Meaning-making measures your ability to construct coherent narrative and purpose from ambiguous, contradictory, or chaotic information. When the data doesn't speak for itself — which is always — can you find the signal in the noise?
Leaders, therapists, and strategists all share one core skill: the ability to look at a mess and construct a story that makes sense of it without oversimplifying. Meaning-making is what separates data from wisdom. In an age of infinite information, the bottleneck is not access to facts but the ability to make sense of them.
Psychologists have shown that people who can construct meaningful narratives from traumatic experiences are significantly more likely to experience post-traumatic growth rather than lasting damage. The event is the same — the meaning you make from it determines the outcome.
Companies that can articulate a coherent narrative about disruption — 'this is what's happening, this is what it means for us, this is what we do' — outperform those that present data without interpretation. The CEO's most important job is meaning-making.
Open-response scenarios give you ambiguous, incomplete, or contradictory information and ask you to make sense of it. AI scoring evaluates coherence (does your interpretation hang together?), depth (how many layers do you see?), originality (are you thinking beyond the obvious?), and integration (do you reconcile conflicting data?).
After your next difficult experience — a conflict, a setback, a confusing situation — write exactly three sentences about what it taught you. The constraint of three sentences forces you to find the essential meaning rather than just narrating events.