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Who Sets the Quality Bar?

Who Sets the Quality Bar?

Design Marie Claire Dean
Design teams are failing to define quality bars for AI projects, leading to inconsistent outputs that look professional but miss user intent.
What: The Designer Fund's 2026 report indicates that AI-generated polish often masks significant failures in functionality and user experience, suggesting that design teams must establish strict criteria before development begins.
Why it matters: Designers are currently struggling to regain agency in technical product lifecycles where speed is prioritized over reliability, creating a 'quality vacuum' in AI products.
Takeaway: Before your next AI feature launch, document explicit 'quality criteria' that define acceptable model behavior and failure handling to avoid shipping visual polish that masks poor utility.
Original article

Most AI products lack a defined quality bar — a problem the Designer Fund's 2026 AI in Design report exposes through data on inconsistent output, reduced team collaboration, and unclear ownership. Speed and AI-generated visual polish mask deeper failures: products may look good while missing user intent, communicating uncertainty poorly, or behaving incorrectly in critical moments. Design teams have the methods to fix this by specifying quality criteria before building starts, but only if they're involved early enough to ask the right questions.

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