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tagged with all of: user-research + design
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User-reported data in design can be misleading due to cognitive biases and the subjective nature of human perception. Designers must consider latent knowledge and perceived value, as it often shapes user experiences more than objective reality. Understanding these dynamics is crucial for creating products that truly resonate with users and meet their deeper needs.
Designers are debating whether taste or empathy is the key superpower that will keep them relevant in the age of AI. While taste is subjective and can be an elitist argument, empathy may not fully capture user needs without proper research and context. Ultimately, a balance of both taste and empathy, along with a focus on execution, is necessary for effective design.
The article compares AI-generated personas with traditionally researched personas, discussing the strengths and weaknesses of each approach. It highlights how AI can quickly analyze large datasets to create user profiles, but emphasizes the importance of human insight and qualitative research in understanding user needs and behaviors. Ultimately, the best results may come from a combination of both methods.
The product triad model fosters collaboration among design, product management, and engineering to ensure that products are desirable, viable, and feasible. Each member of the triad contributes to achieving these goals while dissolving siloed ownership, emphasizing the importance of understanding user needs, business objectives, and technical constraints. Effective teamwork within the triad is crucial for creating successful products that meet user and business demands.
The author shares their journey from aspiring developer to Senior UI/UX Designer, highlighting the shift in focus from coding to understanding user needs and emotions. Through various projects and collaborations, they learned that effective design is rooted in empathy, communication, and strategic thinking rather than just aesthetics.