AI admission interviews follow a structured process designed for consistency and scalability.

First, universities define evaluation criteria and interview questions. These are aligned with admissions goals and selection standards.

Applicants then complete interviews online by responding to predefined questions. The process is asynchronous and does not require scheduling.

AI analyzes responses based on predefined parameters, such as communication, motivation, and clarity of thinking.

Finally, structured evaluation reports are generated instantly, allowing admissions teams to compare applicants using standardized data.

For a broader overview of this approach, see our guide on AI admission interviews for universities.

Solutions like INSELECT enable universities to implement this process without increasing workload or operational complexity.