Strategy question
OpenAI wants to make AI tools more accessible to non-technical users. Which product or feature would you prioritize first, and why?
- OpenAI
- Strategy
- Hard
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
Prioritization judgment for a broad accessibility mission, requiring the candidate to pick and justify one concrete product bet.
How to approach it
- Clarify the target: which non technical segment, such as small business owners, students, or general consumers.
- Identify the current barrier: prompt writing itself is a skill barrier, since most non technical users do not know how to phrase requests well.
- Propose prioritizing a template or task based interface over raw chat, such as guided workflows for common tasks instead of a blank prompt box.
- Justify the choice: it removes the single biggest barrier, knowing what to ask, rather than adding more powerful but harder to use capability.
- Define success: task completion rate for guided workflows versus raw chat among first time or low technical users.
What a strong answer includes
- Names the actual barrier, prompt literacy, rather than assuming the barrier is model capability or pricing.
- Commits to one specific product direction instead of listing many ideas with no prioritization.
- Uses task completion rate as a metric appropriate to measuring whether non technical users actually succeed.
Common mistakes
- Proposing lower pricing or marketing as the fix, missing that the core barrier is usability.
- Naming many ideas without picking and justifying one, when the question asks for a single priority.
Likely follow-up questions
- How would you validate that guided templates actually help versus just adding UI clutter?
- Which non technical segment would you target first, and why?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop