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On-the-Job
Design Examples

Performance-support tools built for environments where speed, clarity, and accuracy determine outcomes — replacing memory with structure to reduce cognitive load and prevent error.

Principles Behind the Work:

RECOGNITION > RECALL

POINT-OF-NEED SUPPORT

REDUCED COGNITIVE LOAD

ERROR PREVENTION

CLINICAL TRAINING ENVIRONMENT

Rapid Safety Recognition:

Performance Support
for Clinical Training

The Problem
Learners rely on recall-based safety training, increasing risk during hands-on practice.

The Design Strategy
A mobile-friendly visual job aid that supports recognition instead of memory.

The Outcome
Reduces cognitive load and supports real-time safety decisions in clinical environments.

LIFESTYLE BEHAVIOR ENVIRONMENT

Everyday Plant‑Based Decisions

Performance Support for Lifestyle Behavior Change

The Problem
Adults struggle to make consistent plant-based choices in everyday decision points.

The Design Strategy
A lightweight toolkit of decision aids for grocery shopping, meal planning, and dining out.

The Outcome
Supports behavior change by shifting from knowledge delivery to real-time decision support.

SPORTS MEDICINE ENVIRONMENT

Return-to-Play Decision Support Kit

Performance Support for Sports Rehabilitation

The Problem
Athletes, coaches, and clinicians must make high-stakes return-to-play decisions under time pressure, often relying on memory, fragmented guidelines, or subjective symptom interpretation.
 
The Design Strategy
A visual, checklist-based decision-support system embedded into rehabilitation workflows to support symptom assessment, readiness evaluation, and risk mitigation at the point of need.
 
The Outcome
Reduces cognitive load during high-pressure progression decisions, improves consistency in return-to-play evaluations, and helps lower re-injury risk through structured, real-time guidance.

Across these environments — clinical training, lifestyle behavior change, and sports rehabilitation — the core design challenge remains: supporting confident decision-making under real-world pressure.

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