Product design question
Design a feature that lets non-technical users build and share Custom GPTs.
- OpenAI
- Product design
- Medium
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Product design for a no-code creation tool aimed at non-technical users, balancing simplicity with real customization power.
How to approach it
- Clarify the target user: someone with a specific repeated task, like a teacher building a grading assistant, who has never written a prompt template before.
- State the core pain point: writing an effective system prompt and choosing the right instructions is unintuitive without technical background.
- Propose the flow: start from a conversational setup where the GPT builder asks the user what the assistant should do and drafts the configuration itself.
- Design the sharing step: a simple visibility toggle and a shareable link, with a lightweight discovery surface like a store for public GPTs.
- Define success: percentage of created GPTs that get used more than once, since a low reuse rate signals the builder produced something unhelpful.
What a strong answer includes
- Leads with a conversational, guided setup instead of a blank text box, since non-technical users do not know what a system prompt is.
- Proposes the assistant itself draft and refine the configuration based on a few example interactions the user tries live.
- Names a concrete success metric, like percentage of created GPTs used more than three times in the first week, as a proxy for real usefulness versus a one-off experiment.
- Addresses discovery separately from creation, since a great custom GPT nobody finds again has no value.
Common mistakes
- Designing a powerful but text-heavy configuration screen that still requires prompt-engineering skill.
- Ignoring the reuse and discovery problem and treating creation as the only success moment.
Likely follow-up questions
- How would you prevent the store from filling up with low-quality, near-duplicate GPTs?
- How would you handle a user who wants their custom GPT to access private data?
More product design questions
- Design an AI agent that can take actions on behalf of users. How would you define its permissioning and control model?OpenAI · Product design · Hard
- Your team has developed a new text-to-video model. If you were the PM responsible for bringing this to market, how would you approach productizing it?OpenAI · Product design · Hard
- What safeguards and UX would you build for ChatGPT's teen and underage users?OpenAI · Product design · Hard
- Design an onboarding flow for a first-time ChatGPT user who has never used an AI chatbot.OpenAI · Product design · Easy
- How would you improve ChatGPT's memory feature for power users?OpenAI · Product design · Medium
- You are designing a Codex-based workflow that helps analysts create, test, and deploy detection content inside their existing security stack. What product requirements would you define so that analysts can trust the output enough to use it in production? Be specific about inputs, review and approval steps, evidence shown to the analyst, failure handling, and how the workflow fits into real detection engineering habits.OpenAI · Product design · Hard
More questions from OpenAI
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop