Diagnose Search Issues with Relevant Metrics and Solutions

Q: Diagnose Search Issues with Relevant Metrics and Solutions

This question evaluates a data scientist's competency in diagnosing search relevance and safety problems through metric selection, time-series and experiment-driven analysis, and root-cause investigation within the Analytics & Experimentation domain.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Question

Brand-Name Search: Diagnosing Relevance and Safety Issues

Scenario

Brand clients report that when users search for their own brand name (e.g., "Apple") on the platform, the search results surface irrelevant or harmful content.

Task

As a data scientist focused on analytics and experimentation:

Identify the key metrics to diagnose the search-relevance problem, including relevance, engagement/satisfaction, and safety.
Propose a structured approach to find root causes and implement a resolution, including offline/online evaluation and time-series analysis around model or policy changes.

Considerations

Precision/recall, CTR, dwell time
Harmful-content rate, brand-safety violations
Time-series before/after model/policy changes
Query intent (navigational vs. informational), entity disambiguation

Diagnose Search Issues with Relevant Metrics and Solutions

Brand-Name Search: Diagnosing Relevance and Safety Issues

Scenario

Task

Considerations

Solution

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