Product design question
Design a native language OTT platform.
- Razorpay
- Product design
- 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.
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What this question tests
Product sense for underserved-language media markets, identifying content supply as the real constraint.
How to approach it
- Clarify the target market and languages, e.g. regional languages underserved by mainstream OTT platforms.
- Identify pain points: limited native-language content libraries, poor dubbing or subtitle quality, and low-bandwidth access issues.
- Propose curated regional-language content licensing and originals, adaptive low-bandwidth streaming, and strong subtitle quality.
- Prioritize content acquisition and partnerships first, since content availability is the core gap, not player UX.
- Define success as watch-time per user in the target language, or content library growth.
- Note how you'd decide which language and region to launch with first.
What a strong answer includes
- Names specific underserved languages or regions rather than a vague 'native language' platform.
- Identifies content supply, not app features, as the real bottleneck in underserved-language markets.
- Addresses low-bandwidth and data-cost constraints common in the target regions, a real adoption barrier.
- Picks watch-time and content-library growth as success metrics tied to the core value proposition.
Common mistakes
- Focusing on UI polish while ignoring that content licensing is the actual hard problem.
- Not naming a specific region or language, making the answer too generic.
Likely follow-up questions
- How would you decide which regional language to launch with first?
- How would you compete with a global player entering the same market?
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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