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How to Run Structured Interviews at Scale Using AI

Rishit Chaturvedi, CEO of Mazle AI
Rishit Chaturvedi, CEO of Mazle AI

A TA director once told us the dirty truth about structured interviews. Every company says they run them. Almost none actually do.

The intent is real. Leaders announce a structured interview policy at an all hands. They roll out templates. They schedule training. Six weeks later, a senior engineer says in a debrief "I had to ask a different question because the candidate said something interesting." Nobody pushes back. Within a quarter, the structure is gone.

This is not a discipline problem. It is a design problem. Structured interviews fail because they treat humans like they will execute a script. Humans do not execute scripts in social settings. They have conversations.

AI changes the math. Instead of forcing interviewers to follow a script, you let the conversation flow and have the AI track coverage in the background. At the 25 minute mark the interviewer gets a quiet nudge that one of the three required competencies has not been touched. The structure is enforced without the awkwardness.

Industry research finds that after five interviews, only 66 percent of job description skills are well covered. Technical skills sit at 55 percent. The structure was always supposed to fix this. It did not, because the structure was never observable in real time.

Platforms like Mazle treat coverage as a runtime concern, not a post-hoc audit. The interviewer sees what is missing while they can still act on it.

Structured interviews at scale do not require more discipline. They require better instrumentation. Make the structure visible during the call, not after.