Download the Comprehensive UX Audit Checklist for AgeTech
An Evidence-Based Scorecard for Product Design in Aging, Brain Health, and the Care Ecosystem
Designing for aging and brain health is a high-stakes endeavor. A single confusing interface or a poorly timed notification can erode a user's independence, trigger "alarm fatigue" in caregivers, or cause an older adult to opt out of a vital service entirely.
Based on the latest usability heuristics and clinical research, this 13-page guide provides a rigorous framework to audit your product across the seven dimensions that matter most in the care ecosystem.
Format: PDF - 13 pages
Stop Guessing. Start Validating.
Most AgeTech products fail not because the technology is broken, but because:
They ask too much of the user
They just don’t fit into their lives.
If your product requires a user to abandon lifelong rituals or master complex new hardware, you’ve already lost them.
This checklist helps you bridge the gap between clinical intent and user adoption. Whether you are building for independent seniors, professional clinicians, or family caregivers, use this scorecard to identify hidden friction early and de-risk your product roadmap.
What’s Inside?
We’ve translated mountains of academic research and field-tested UX expertise into an actionable, 7-part audit framework:
Physical & Visual Physics: Standards for addressing declining light sensitivity, motor precision, and the "60px Rule" for touch targets.
Cognitive Scaffolding: How to reduce the "mental tax" through information layering and procedural memory support.
The Familiarity Audit: Is it intuitive? We evaluate platform continuity, leveraging technology and habits users already have rather than forcing them to learn new hardware.
Emotional Resilience: Strategies for replacing tech-induced anxiety with "Self-Esteem Loops" and agency.
The Care Ecosystem: Auditing for institutional realities like "alarm fatigue" and intermittent facility Wi-Fi.
Trust & Safety: How to provide "Infrastructure Transparency" so users aren't left in the dark during technical failures.
Behavioral Evidence: Why direct observation beats surveys every time, and how to set up high-fidelity validation sessions.
