INTERVIEW GUIDES
Prepare evidence before you prepare wording.
Strong interview preparation starts with the role, the question's intent, and examples you can defend. These principles help you prepare before using live guidance.
How should you prepare your interview context?
Start with the current job description. List the capabilities the role repeatedly asks for, then match each one to a real project, decision, result, or lesson from your experience. Choose the resume version that best represents those examples and remove outdated or unsupported claims.
Use optional knowledge materials for concise project facts, domain definitions, or reusable evidence. Avoid uploading large unrelated document sets because more context does not automatically produce a better answer.
How should you structure a behavioural answer?
Open with the situation and goal in one or two sentences. Spend most of the answer on your actions, decisions, trade-offs, and collaboration. Close with a result you can verify and one lesson that influenced later work. If the interviewer follows up, answer the new question directly instead of repeating the full story.
Practise multiple lengths. A short version helps you start clearly, while a longer version gives you evidence for follow-up questions.
How should you prepare for technical questions?
Separate definition, mechanism, trade-off, example, and failure handling. For coding problems, clarify inputs and constraints before choosing a data structure or algorithm. For system design, state assumptions, estimate scale, define interfaces, and explain how the design behaves when dependencies fail.
Do not memorise a single standard answer. Interviewers often change constraints to understand how you reason.
How do you turn a job description into a practice plan?
Group repeated requirements into a few themes such as technical depth, ownership, communication, or customer impact. For each theme, write one primary example and one backup example. Note the evidence, the trade-off you made, and the follow-up question you would find hardest to answer.
Practise answering the question before polishing the wording. If the evidence is weak, choose a better example or acknowledge the limit. Do not add a metric, title, or responsibility simply because it would fit the role more neatly.
How should you practise follow-up questions?
After each prepared answer, ask what changed, what failed, what you would do differently, and how another stakeholder viewed the decision. Technical follow-ups may change scale, consistency, latency, cost, or security constraints. Behavioural follow-ups may test conflict, ownership, or learning.
Answer the new condition first. Reuse only the context that remains relevant, and say when an earlier assumption no longer holds. This makes the conversation clearer than repeating the full original story.
What should you check before a live session?
Open the desktop Companion, verify microphone and computer-output sources, confirm permissions, connect the session code, and test the visible meters. Keep a fallback plan for device or network problems. Follow the organiser's rules for AI tools, recording, screen capture, and confidential information.
Prepare the physical setup too. Use a stable network where possible, connect power, close unrelated notifications, and keep the interview link and a non-AI fallback note available. If you change a headset or output device, confirm the Companion route again before the interview begins.