🧠 Dark Side of Behavioral Science + 👀 Experience Design: The Next Iteration of UX?

This week, Does Behavioral Science Have a Dark Side?, Experience Design: The Next Iteration of UX and From Data to Insights: Segmenting Airbnb’s Supply. Plus our People of Research member interview from 🇩🇪 and our latest podcasts, events and job opportunities for the week!

📢 Announcements

🔬 People of Research Member Interview

People of Research Interview with Giulia

We’re excited to open up opportunities for readers to feature in our “People of Research” interview series. This is a fantastic chance to share your career story, promote your work, and engage with our global community. Each story is a source of inspiration and learning, reaching over 1,500 newsletter subscribers, and +3,500 LinkedIn followers across +60 countries.

📰 Article Picks

This week’s article picks:

🔗 Does Behavioral Science Have a Dark Side?: In “Does Behavioral Science Have a Dark Side?” by Hansika Kapoor, PhD, the ethical complexities of behavioral science are explored, particularly the risks of misuse and manipulation. Through real-world examples, such as controversial advertising strategies, the article highlights the dual-edged power of behavior-changing techniques. It emphasizes the need for ethical frameworks to guide practitioners, ensuring their tools promote well-being rather than exploitation.

🔗 Experience Design: The Next Iteration of UX: Kate Moran explains the evolving terminology and practices within the UX field, advocating for the adoption of “experience design” as a broader, inclusive term. By blending roles such as UX, CX, and service design, Moran showcases the potential for holistic approaches that prioritize human-centered, iterative solutions. The article underscores the importance of embracing adaptable frameworks to remain relevant in a shifting technological and economic landscape.

🔗 From Data to Insights: Segmenting Airbnb’s Supply: Alexandre Salama and Tim Abraham detail Airbnb’s innovative use of machine learning to categorize host behavior. By combining availability, streakiness, and seasonality, the segmentation model helps differentiate hosts with distinct preferences and needs, such as seasonal vs. full-time availability. Case studies of hosts like “Alice” and “Max” illustrate how tailored recommendations can enhance user experiences. This method not only drives platform improvements but also sets a standard for data-driven segmentation in other industries.

📺️ Video Pick

💼 Jobs Picks

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👋 About us

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