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Why Your AI Features Need a UX Health Check

October 1, 2025
5 min read

AI features often look great in a product demo but struggle in the real world. A UX Health Check ensures your AI is meeting customer expectations instead of quietly undermining trust and conversion.

What is a UX Health Check?

It’s a structured review of how AI performs when real people use it. The check evaluates whether interactions are intuitive, reliable, and supportive of customer goals—not just technically functional.

Key Areas of Evaluation

  • Comprehension: Do users understand what the AI does?
  • Prompt-response clarity: Are outputs clear and actionable?
  • Error tolerance: Can users recover from mistakes or refine prompts?

Warning Signs

Low adoption, repeated complaints, or conversion drop-offs at AI touchpoints are red flags. These issues usually stem from usability gaps, not technical bugs.

Benefits of Testing

  • Goals: Improve adoption and retention.
  • Problems: Users disengage when AI feels unreliable.
  • Solutions: Research and heuristic reviews identify improvements that increase satisfaction.

A proactive health check saves costs by catching problems early and improving customer loyalty.

Request an AI UX Health Scorecard to see where your features stand.

October 1, 2025