Wizard of Oz
A research method where a human secretly powers responses behind a seemingly automated interface, letting teams test an idea before building the real system.
Why it matters
Why build the AI when a human behind the curtain can fake it for a week? Wizard of Oz testing answers the expensive question — would people even want this, and how would they talk to it — before a line of the hard system exists. The classic failure it prevents: six months building the automation, then discovering users phrase requests in ways nobody predicted. One ethical seam: participants are being deceived mid-study, so the debrief afterward is not optional.
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