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Taste

Published 5 May 2026

Duration: 00:12:53

The podcast challenges the notion that taste in product development is innate or unteachable, argues it often overrides data and user needs, questions its cultivability through experience, explores AI's potential to engage with human aesthetic judgment, and critiques using taste to bypass design expertise in favor of collaborative, user-centered innovation.

Episode Description

Is "taste" the must-have skill of the AI era or just the latest tech buzzword? In this episode, Petra Wille and Teresa Torres unpack the growing hype...

Overview

The podcast explores the critique of framing "taste" as an innate, unteachable trait in product development. It challenges the notion that subjective judgmentor "taste"alone should dictate design decisions, arguing that this approach mirrors outdated "founder mode" thinking in tech, where personal preferences overshadow systematic discovery and customer-centric methods. The conversation emphasizes that reducing product creation to aesthetic appeal risks neglecting functionality, usability, and iterative testing, which are critical for developing practical and successful products. It questions whether "taste" is a skill honed through experience and learning rather than an inherent gift, while also speculating on AIs potential to eventually replicate or challenge human-developed design sensibilities.

The discussion highlights the disconnect between the term "taste" and the complex interplay of design, functionality, and market alignment required in product development. It critiques the trend of using "taste" as a shortcut to bypass foundational design work, such as hiring professional designers or conducting rigorous user research. Additionally, it challenges the overemphasis on individual genius (e.g., Steve Jobs) as a source of innovation, advocating instead for collaborative discovery and customer-focused approaches. The podcast also addresses AIs growing role in product development, suggesting it may automate many tasks but will likely coexist with human judgment, particularly in areas requiring empathy, nuanced decision-making, and creative collaboration. The broader takeaway is a call to prioritize skills like discovery techniques, user engagement, and evidence-based practices over abstract concepts like "taste" in an AI-driven era.

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