Mock Interviewer Skill for ChatGPT: Practice a PM Interview With Follow-Ups
Practice product sense, strategy, analytics, technical, or behavioral interviews in a conversation. The interviewer sets the round and difficulty, follows up on your responses, and scores concrete examples at the end.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download skills/mock-interviewer/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for mock-interviewer together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that mock-interviewer appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
Start a standard generic AI PM analytics interview. Use this fictional scenario: new-user save rate dropped from 55% to 40%. Ask one question at a time. Follow up on the denominator, segmentation, and at least one guardrail metric. End with scores on a 1–4 scale.What to check
The interviewer should ask for clarification and analysis, wait for answers, and then probe. The final scorecard should cover framing, metric choice, analytical reasoning, guardrails, trade-offs, and communication using specific moments from the session.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can I use the score to predict an actual hiring decision?
Use it as practice feedback. Repeat a round type, compare dimension scores and follow-ups, and identify where you need stronger evidence or clearer trade-off reasoning.