{"id":11058,"date":"2026-08-13T09:36:59","date_gmt":"2026-08-13T00:36:59","guid":{"rendered":"https:\/\/uism.co.jp\/?p=11058"},"modified":"2026-08-13T12:00:59","modified_gmt":"2026-08-13T03:00:59","slug":"building-trust-in-new-products-lessons-from-psychology-and-ux-research","status":"publish","type":"post","link":"https:\/\/uism.co.jp\/en\/blog\/building-trust-in-new-products-lessons-from-psychology-and-ux-research\/","title":{"rendered":"Building Trust in New Products: Lessons from Psychology and UX Research\u00a0"},"content":{"rendered":"
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\u2736<\/span>Article Summary<\/h3>\n
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  • User trust depends on confidence, recovery after errors, manageable choices, and feeling safe enough to continue.<\/li>\n
  • Four psychological principles explain trust: self efficacy, algorithm aversion, paradox of choice, and the Elaboration Likelihood Model.<\/li>\n
  • Build trust by enabling early success, designing graceful recovery, reducing choices, and supporting intuitive decision making.<\/li>\n<\/ul>\n<\/div>\n\n\n

    Your team built something useful. The research backed it, the design was thoughtful, and it shipped on time. But users try it out for a little, then quietly go back to whatever they were doing before.<\/p>\n\n\n\n

    If this sounds familiar, it may not be an issue with your products or services. The answer could lie in understanding what’s actually going on in your users’ heads before they ever engage with it.<\/p>\n\n\n\n

    Users often develop trust in a new product through a series of psychological judgments: whether they feel capable enough to use it, whether the system recovers when something goes wrong, whether the choices feel manageable, and whether the overall experience feels safe enough to continue. Looking at it this way, the fix doesn’t start with your codebase, and instead starts with looking beyond what users do and understanding what drives those decisions.<\/p>\n\n\n\n

    Trust Begins with Confidence<\/strong> <\/span><\/h2>\n\n\n\n

    Before users engage with a new feature, they may already have a preconceived judgment about their own ability: am I the kind of person who can use this well? <\/p>\n\n\n\n

    Psychologist Albert Bandura called this self-efficacy<\/strong>, a person\u2019s belief in their own ability to successfully perform a task. Sounds simple, but its implications go further. Self-efficacy isn\u2019t just about the skillsets. It\u2019s also about identity. A user who does not see themselves as tech-savvy doesn\u2019t start struggling with your onboarding flow, they already arrive defeated, looking for evidence that confirms their beliefs in self-ability.  <\/p>\n\n\n\n

    This shows up constantly in UX research. We see it with older users navigating digital banking and cashless payments for the first time. We see it right now with AI tools, where the conversation of who AI will replace and social posts about people being “bad at prompting” has primed a large segment of users to feel inadequate before they’ve even opened the product. If you are curious what this actually looks like in practice, we have explored it through the lens of older adult users in Japan here: <\/p>\n\n\n