Metrics question

How would you design an iron for a blind person?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Inclusive product design: can the candidate design for a sensory constraint by substituting non-visual feedback for every visual cue.

Confirm the goal is genuinely accessible ironing rather than a trick estimation question, since the wording is unusual for a metrics tag.
Identify the user: someone who cannot see the fabric, the heat dial, or whether the iron is scorching cloth.
List pain points: reading temperature settings, knowing when the iron is hot enough, and detecting scorch or steam risk.
Design solutions: raised tactile temperature dial with audible clicks per setting, voice or beep confirmation of the selected heat, and a heat sensor that vibrates or beeps if the plate is too hot for the fabric.
Add safety features like an auto shutoff and a textured guide edge so the user can feel fabric alignment.
Pick a success metric such as reduction in burn incidents and task completion time compared with a sighted user baseline.

Grounds the design in existing patterns, for example how OXO built tactile, high contrast kitchen tools, and adapts that logic here.
Prioritizes safety features first (auto shutoff, heat warning) since the cost of failure is a burn, not just annoyance.
Proposes testing with actual blind users rather than assuming sighted proxies represent the real experience.

Only adding audio without tactile feedback, which fails users who are also hard of hearing.
Treating this as a gimmick question instead of designing real, testable accessibility features.

How would you validate this design with actual visually impaired users before building it?
What would you cut first if cost constraints forced you to ship a simpler version?