Realism is an easy goal to misunderstand.
A mock interview can have a voice, a timer, a polished interface, and questions that sound believable while still providing very little value.
The stronger test is whether the experience creates new information for the person practicing.
Did the interview expose a weakness they were not already aware of?
Did a follow-up reveal that an answer lacked evidence?
Did feedback change the structure of the next attempt?
Did the candidate become better at handling the same competency when the question was phrased differently?
These are more useful measures than whether the simulation simply “felt real.”
For Mokchi, we’re increasingly thinking about mock interviewing as a learning loop:
Answer → challenge → feedback → retry → transfer
The important part is not generating a better answer on the user’s behalf.
It is helping the user understand why one answer was stronger than another.
That distinction will shape a lot of what we test next.