Product design question
How would you improve OYO?
- OYO
- Product design
- Easy
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
Whether the candidate can identify a real pain point in a hospitality marketplace and propose a focused, prioritized improvement.
How to approach it
- Identify the two user sides: budget travelers booking rooms, and hotel partners managing inventory and quality standards.
- Name a specific pain point, such as inconsistent quality between listings despite OYO's branding promise of standardization.
- Prioritize by impact: trust and quality consistency likely drives more repeat bookings than adding new features.
- Propose a solution, such as a verified quality badge tied to recent guest ratings and surprise audits, shown prominently in search results.
- Define success as repeat booking rate and reduction in quality-related complaints or refund requests.
What a strong answer includes
- Names quality consistency, not price or selection, as the core pain point, since that is OYO's known reputation challenge.
- Proposes a concrete mechanism (audit-linked badge) rather than a vague call to 'improve quality'.
- Ties the fix to a measurable outcome, such as repeat booking rate among guests who booked a badged property.
Common mistakes
- Proposing generic improvements like a better app UI without addressing the known trust problem.
- Ignoring the hotel partner side of the marketplace entirely.
Likely follow-up questions
- How would you enforce quality standards without alienating budget-conscious hotel partners?
- What would you do if audits are too expensive to run frequently?
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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