Behavior Patterns Articles & Videos

  • Archetypes vs. Personas

    Personas and archetypes are different ways of communicating the same user research data. Archetypes describe categories of users; personas humanize those categories to illustrate real impact.

  • The Hawthorne Effect: 5 Guidelines to Avoid it

    The Hawthorne effect is a phenomenon where people change their behavior because they know they are being observed. Here are 5 guidelines for mitigating the Hawthorne effect in user research.

  • The Danger of Defaults

    Assume that users will not change defaults and plan for this in your designs. Ask yourself 3 questions to create good defaults.

  • Don’t Trick Users: 2 Ways to Avoid Deceptive Design Patterns

    Deceptive patterns harm your organization’s long-term goals. Ask yourself these 2 questions to proactively avoid deceiving or tricking users.

  • Why the UX Team Doesn't Get the Credit

    The easier designs are to use, the less users tend to think about the work that went into making them that way. We know good designs are largely the result of your careful efforts — thank you.

  • Basic Psychology Is Essential for UX Practitioners

    Basic psychological principles can guide you as a UX designer because most users share many common characteristics. Consider learning more about: motivation, attention, memory, persuasion, learning, decision making, emotion, sensation, perception, or cognitive biases.

  • 40 Years in UX

    Jakob Nielsen on what has changed and what has remained the same since he started in UX in 1983.

  • Community Ecommerce

    Ecommerce user experience can benefit from community features. Our user research in China finds that shoppers often view such content as more credible and useful than brand content.

  • Users Are Not Lazy (UX Slogan #10)

    Users don't work hard enough to discover how to use your design in the intended manner. Bad user! But really, they're just prioritizing their own time and interests and behaving the way evolution made people.

  • Show Me the Data (UX Slogan #15)

    Members of a design team will often argue for different solutions to a UI problem. That's when to say "show me the data" to resolve the debate by empirical insights, rather than who argues the best.

  • UX Researchers, We Like to Watch (UX Slogan #16)

    Watching users' actual behavior helps us gain insights to improve the user experience.

  • Guided vs. Unguided User Studies

    Directed user research where you ask people closed-end questions can bias the outcome in favor of those things that are being asked about. Unguided studies are often better at revealing true user preferences.

  • The 3 Levels of Emotional Processing

    People react user experience at 3 levels of emotional processing, as defined by Don Norman: visceral, behavioral, and reflective. Understanding these different levels is important for better UX design.

  • Confirmation Bias in UX Work

    Confirmation bias is the tendency to preferentially seek out or believe data that confirms your expectations. For example, thinking that one part of the UI is well designed and another is bad, might you give more weight to observations of usability test participants having trouble with that second feature.

  • Self-Determination Theory: Users Want Autonomy, Relatedness, and Competency

    Humans have a deep need for autonomy, relatedness, and competency in their life. Catering to these needs in UX design can drastically increase user satisfaction.

  • Reciprocation: Why Login Walls Aren’t Always “Better"

    The reciprocity principle states that people, when given something upfront, tend to feel a sense of obligation to repay what has been provided. Login walls reverse this sequence and require users to disclose personal info before allowing access to content. People often resent this, and may not be as forthcoming or cooperative as a result.

  • Repeated User Actions Are Frustrating

    It's frustrating for users to go back-and-forth and back-and-forth to the same web page, bouncing around without getting what they need. Analytics data can help identify pages that don't help users progress.

  • Love at First Sight in Eyetracking

    When users search for information, they don't always keep looking for the best solution. In our eyetracking studies 20% of the time, users make do with the first result and don't look any further.

  • Abandoning Best Practices in UX

    When should one abandon best practices in user experience, and what does it take to declare that something is a best practice?

  • 5 Types of E-commerce Shoppers

    Extensive user research with people shopping online identified 5 main types of behavior: product-focused, browsing, researchers, bargain-hunters, and one-time shoppers. Each user type benefits from different UX elements.