Reducing Cognitive Load
Quick start
Collect or infer:
- •Screen or flow to analyze
- •Primary user task and decision points
- •Current content inventory (all visible text)
- •User context (expertise level, task frequency, stress level)
Then produce output using TEMPLATES.md. Validate with RUBRIC.md.
Workflow
- •Map all decision points user must navigate.
- •Identify cognitive load sources: memory demands, ambiguity, unnecessary choices, hidden information.
- •Classify each source by type: intrinsic (unavoidable complexity), extraneous (removable friction), germane (learning investment).
- •Prioritize extraneous load for elimination.
- •Apply reduction strategies: chunking, defaults, progressive disclosure, recognition over recall.
- •Validate that reductions don't remove essential information.
- •Run the rubric check. Revise until it passes.
Degrees of freedom
- •Medium freedom: Load classification framework is fixed; specific reduction strategies may vary by context.
- •Allowed variation: Reduction technique selection depends on screen type and user expertise.
References
- •Templates: TEMPLATES.md
- •Rubric: RUBRIC.md
- •Examples: EXAMPLES.md