Introduction
To enhance Yext's Knowledge Graph for better support of multi-location businesses, we need to focus on improving data management, scalability, and integration capabilities. I'll outline a strategic approach to address this challenge, considering user needs, technical constraints, and market dynamics.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the scalability requirements and complexity of the Knowledge Graph enhancements. Expected answer: Focusing on businesses with 50+ locations, but want to improve support for smaller chains as well. Impact on approach: Would prioritize scalability and flexibility in data structure to accommodate various business sizes.
Why it matters: Helps identify if we need to focus on real-time updates or batch processing improvements. Expected answer: Most businesses update weekly or monthly, but some require daily updates which our current system struggles with. Impact on approach: Would prioritize improving real-time update capabilities and possibly introducing an API for direct integrations.
Why it matters: Determines if we need to focus on enhancing data relationship models or improving existing structures. Expected answer: Basic parent-child relationships are supported, but more complex hierarchies and lateral relationships are challenging. Impact on approach: Would focus on expanding the data model to support more complex business structures and relationships.
Why it matters: Helps determine if we need to focus on improving external integrations or internal data processing. Expected answer: Basic API exists but lacks advanced features and has performance issues with large data sets. Impact on approach: Would prioritize enhancing API capabilities and performance, possibly introducing a GraphQL interface for more flexible queries.
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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