Describing scope, quantifying outcomes, and separating your contribution from your team's honestly.
5 questions in Behavioural & Culture Fit.
Pick unasked work that solved a problem other people were feeling, show that you sized it before starting and told someone you were doing it, and be able to say what you chose not to fix — unsanctioned effort only reads as initiative when it was also disciplined. Use this ownership answer to show the decision, trade-off, and evidence rather than a memorised definition.
Describe your use of AI tools by task, each with its check: reading cited lines, running code, confirming APIs against the docs for your version. Refuse any answer you cannot check cheaply or that is costly to get wrong, keep restricted data out of unapproved tools, and back it with one real catch.
Choose a work sample with real decisions in it that you still understand line by line and are allowed to share. Be ready to admit which parts were other people's or a tool's, what is wrong with it, and what you would change, because the interviewer can open any file and ask why it is there.
Choose work where you made decisions rather than executed someone else's, spend the answer on the unglamorous middle and the parts nobody assigned you, and make the causal chain from your actions to the outcome credible rather than reaching for the most impressive number you can find.
Choose work whose value you can state in the terms the business used, explain why you are proud of it in a way that reveals your standards, and be ready to be precise about which parts were yours. The choice itself is the signal the interviewer is reading.