Introduction
To improve ShareChat's language translation capabilities for better cross-lingual communication, we need to analyze the current user experience, identify pain points, and develop innovative solutions. I'll approach this challenge by examining user segments, analyzing pain points, generating solutions, and proposing metrics for success.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the scope and priorities for language translation improvements Expected answer: Primarily targeting Indian users across multiple languages, with plans to expand to other South Asian countries Impact on approach: Would focus on Indian languages first, with scalability for future expansion
Why it matters: Helps identify the most critical areas for translation improvement Expected answer: Users primarily consume content in their native language but show interest in content from other languages when discovered Impact on approach: Would prioritize translation features that facilitate content discovery and engagement across language barriers
Why it matters: Informs the feasibility and potential directions for technical solutions Expected answer: Currently using a combination of third-party APIs and in-house models, with challenges in accuracy for certain language pairs Impact on approach: Would explore ways to leverage cutting-edge AI technologies while addressing specific pain points in the current system
Why it matters: Ensures proposed solutions align with overall company strategy Expected answer: Aiming to increase user engagement, expand user base, and potentially monetize through cross-lingual advertising opportunities Impact on approach: Would focus on solutions that directly contribute to these business objectives while enhancing user experience
Tip
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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