Study models of excellent performance to build a representation of the target
Absorb what elite performance looks like in concrete detail before trying to produce it.
Key takeaways
- What it is: Absorb what elite performance looks like in concrete detail before trying to produce it.
- Why it works: A mental representation is only as good as the model it is built from. Detailed study of excellent performance — not just exposure to good enough — provides the high-resolution target that the learner’s attempts can then be compared against. The gap between the observed model and the learner’s own performance is the feedback source that drives each iteration of practice.
- Evidence: Backed by observational / correlational evidence.
- Avoid: Studying mediocre or "good enough" examples because excellent models are harder to access, building a representation calibrated too low to drive high-level performance.
Why it works
A mental representation is only as good as the model it is built from. Detailed study of excellent performance — not just exposure to good enough — provides the high-resolution target that the learner’s attempts can then be compared against. The gap between the observed model and the learner’s own performance is the feedback source that drives each iteration of practice.
How to do it
- 1Identify multiple concrete examples of excellent performance in your target domain.
- 2Study them closely enough to be able to predict what comes next — not just recognize it when it appears.
- 3Articulate specifically what distinguishes the excellent from the merely good.
What the evidence says
ObservationalExpert memory for domain-relevant patterns (expert chunking) is one of the most replicated findings in expertise research, originating with Chase and Simon’s chess studies. The role of studied models in building these patterns is consistent with deliberate practice theory.
Honest caveat: These are observational studies comparing experts and novices; the causal direction — that studying models builds expert representations — is supported mechanistically but harder to isolate experimentally.
- — Chase & Simon (1973), "Perception in chess", Cognitive Psychology
- — Ericsson & Pool (2016), "Peak: Secrets from the New Science of Expertise"
Common mistake
Studying mediocre or "good enough" examples because excellent models are harder to access, building a representation calibrated too low to drive high-level performance.
IX Coach surfaces the standard of excellent performance for your specific goal and keeps it visible in sessions, so your attempts are compared against the actual target, not against "better than before."
Practice this with IX Coach →