Kent C. Dodds reframes product requests around the progress a person wants to make in a particular situation. A conference-entry example shows why a proposed facial-recognition feature should be questioned against the actual job, including speed, privacy and operational constraints, rather than treated as the inevitable solution.
The workshop introduces functional, social and emotional dimensions of a job, then uses the Kano model to distinguish basic expectations, performance improvements and delighters. Dodds connects these choices to feedback, reversibility and engineering judgment, arguing that AI-assisted implementation does not remove the need to understand a critical system or its failure modes.
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