Introduction
To improve Confluent's Schema Registry and make it more user-friendly for developers, we need to analyze the current pain points and identify key areas for enhancement. I'll approach this by examining user segments, analyzing pain points, generating solutions, and prioritizing improvements based on impact and feasibility.
Step 1
Clarifying Questions
Why it matters: Determines which features to prioritize for improvement Expected answer: Schema validation, version management, and integration with Kafka streams Impact on approach: Would focus on streamlining these core functionalities
Why it matters: Identifies potential friction points in the initial user experience Expected answer: Documentation-driven onboarding with a steep learning curve, average time to first schema registration is 2-3 hours Impact on approach: Would prioritize improving onboarding and reducing time to value
Why it matters: Helps determine whether to focus on new features or refine existing ones Expected answer: Established product with a solid user base, looking to improve retention and expand use cases Impact on approach: Would emphasize enhancing existing features and improving integration capabilities
Why it matters: Ensures proposed improvements align with company objectives Expected answer: Tied to increasing developer productivity and reducing time to market for data-driven applications Impact on approach: Would focus on features that demonstrably improve developer efficiency and application deployment speed
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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