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How To Argue Against AI-First Research
- AI-driven research, known as synthetic user testing, is being used to replace traditional UX research in companies.
- AI personas are created to mimic human behavior within products, offering fast, cheap, and easy testing options.
- However, AI research often lacks the depth and real insights provided by human-conducted UX research.
- AI-generated data may not accurately represent user behavior and can lead to misleading or non-applicable conclusions.
- AI research tends to overlook the nuanced and varied nature of human behavior, relying on generalized patterns.
- Mechanical decisions made by AI can be indiscriminate, erode quality, and reinforce biases and stereotypes.
- Using AI as a starting point in research is beneficial but should be complemented by human research for reliable insights.
- The article highlights the importance of engaging with real customers for meaningful UX insights, rather than solely relying on AI.
- Triangulating insights from AI, analytics, and human research can provide a more comprehensive understanding of user behavior.
- The value of human interaction and observation in UX work is emphasized over automated AI tools in ensuring quality design.
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