UX Digest - mejores posts

How the SEQ Correlates with Other Task Metrics The article analyzes how the Single Ease Question (SEQ) correlates with other common usability metrics. It finds that user satisfaction (e.g., UMUX-Lite) and completion rates are strongly correlated with SEQ scores, while efficiency metrics like time on task have a much weaker relationship. Therefore, the SEQ is a valid and efficient way to gauge perceived ease and overall task success, but it should not be used to predict task time or clicks Why most UX Research fails to influence the C-Suite Most UX research fails to influence the C-suite because it's often presented as isolated user anecdotes or generic findings, not actionable business insights. To get leadership's attention, researchers must translate user data into clear business outcomes — directly linking insights to metrics like revenue, risk reduction, or cost savings — and frame them as solutions to the strategic problems executives care about most SkyComm: Rethinking in-flight announcements as inclusive communication Standard in-flight announcements are ineffective. They should be redesigned as an inclusive communication system using multiple channels (audio, visuals, devices) so every passenger, regardless of ability or language, gets critical information clearly NNG: Humanizing AI Is a Trap LLMs humanize by design. Adding personality/emotion amplifies risk. Design real tools, not fake friends Research: Customer service team evolution AI is transforming customer service from a reactive cost center into a strategic, profit-driving function. It does this by automating routine tasks, empowering human agents to solve complex issues, and using service insights to proactively improve products and drive revenue AI: Same, but new — UX Research in the age of LLMs UX research with LLMs becomes more efficient through AI tools, but the critical human role of defining problems and interpreting nuance is now more vital than ever. The real shift is to strategically oversee AI-augmented research, not replace the researcher Metrics: Leading vs Lagging Metrics — Why Product Teams Measure Too Late (And What Actually Works) Lagging metrics (like revenue) show past results too late to change. Leading metrics (like feature use) predict the future and let you act now. Smart teams track leading inputs, not just final outputs Opinion: Kick out your personas The article argues that traditional, fictional user personas are inadequate and should be replaced with a more dynamic, data-driven model. It criticizes personas for being expensive, static, often stereotypical, and lacking direct evidence of user goals and pain points. As a superior alternative, the author proposes using a "jobs-to-be-done" framework, behavioral archetypes based on actual user data (like analytics and interviews), and practical tools such as empathy maps and journey maps to create more actionable and realistic user insights @uxdigest