micro1's current guide recommends using its Interview Prep tool before the real interview and its public prep library lets candidates choose roles and practice AI interviews with feedback. A mock is most useful when you treat it as data rather than a rehearsal you simply finish.
1. Use the first attempt as a baseline
Do not optimize the first run. Answer naturally and record the specific breakdowns: technical gaps, vague evidence, slow openings, overlong answers, weak trade-offs, or difficulty with scenarios.
2. Change one thing at a time
3. Do not chase a better-looking attempt without learning
A repeated answer can improve because you remember the wording, not because the underlying skill changed. Use different prompts, different examples, and follow-up questions so improvement has to transfer.
Use Interview Command for a different question testing the same weakness.
After a mock identifies the gap, switch to an unfamiliar question and see whether the correction transfers.
The mock tells you where to work. The next attempt should prove the fix.
Use each practice result to decide what to study, correct, and repeat—not merely whether the attempt felt good.