Interview preparation gets easier when you stop waiting for the perfect question and start preparing the evidence you want to communicate.
Day 1: Decode the role
Review the job description and identify the top five capabilities the interviewer is likely to test. Ask AI to turn those requirements into likely interview themes.
Day 2: Build your story bank
Choose examples for leadership, conflict, delivery, problem solving, learning, and measurable impact. These stories become the raw material for many answers.
Day 3: Practise STAR structure
Use situation, task, action, and result to make answers easier to follow. Keep the action section strongest because it shows your judgement.
Day 4: Generate role-specific questions
Ask AI for technical, behavioural, and scenario questions based on the target role. Practise the questions that feel hardest first.
Day 5: Record or speak answers aloud
Reading silently can hide weak structure. Speaking exposes rambling, missing evidence, and unclear transitions.
Day 6: Review feedback and improve
Use AI feedback to tighten your examples, remove filler, and strengthen outcomes. Do not memorise scripts. Memorise the structure and evidence.
Day 7: Prepare questions and follow-up notes
Prepare thoughtful questions about the team, success measures, and priorities. After the interview, use your notes to write a concise follow-up.
Turn this insight into a stronger application.
Use AI Career Guide to build the CV, run the ATS check, generate the cover letter, track the role, and prepare for the interview in one workspace.
