Using ChatGPT for Career and Job Search By the end of this lesson, students should be able to: Generating targeted questions. "I have an interview for a [role] position at [company/industry]. Based on this job posting [paste], generate: (1) the 8 most likely competency-based interview questions, (2) 3 likely technical or role-specific questions, (3) 2 questions about why I want this specific company or role, and (4) 1 tough question most candidates would find challenging. For each, briefly note what the interviewer is trying to assess." The STAR framework. Behavioral questions ("Tell me about a time when…") are best answered with: "I need to answer: [question]. Here is a relevant experience: [brief description]. Structure this as a STAR response â€" specific, concrete, focused on my individual contribution. Under 2 minutes when spoken aloud." Running a simulated interview. "Act as the interviewer for a [role] position. Ask me one question at a time from this list: [paste]. After each answer, give feedback on: what worked, what was unclear or too long, what to add or cut. Start with the first question." Post-interview debrief. After every interview, while details are fresh: "I just completed an interview for [role] at [company]. Here is what I remember: [your notes]. Help me: (1) identify what I answered well and why, (2) identify what I struggled with and what a better answer would have been, (3) note any follow-up I should send, and (4) identify what I should prepare differently next time." Every interview â€" including unsuccessful ones â€" contains preparation material for the next one. Enroll to continue this lesson. The preview above shows the lesson objectives and opening lesson content. Enroll to view the full lesson, complete the practice work, and take the lesson quiz.
Lesson 2: Interview Preparation — STAR Framework and Practice
Lesson Objectives
Lesson Content
