Build dashboard; diagnose engagement–purchase gap

Q: Build dashboard; diagnose engagement–purchase gap

This question evaluates a data scientist's competency in product analytics and experimentation, focusing on dashboard specification, precise event- and user-level metric definitions, core dimensions, data freshness SLAs, and instrumentation 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.

Q: What difficulty level is this interview question?

This is a hard difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at Meta.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Question

Build a Comprehensive Dashboard for the Shopping Tab (Organic Only)

Context

Assume the Shopping tab is an in-app surface for organic product discovery and purchase. Exclude paid ads and sponsored placements from all metrics. Purchases may occur via in-app checkout or via offsite merchant redirect with server/pixel attribution.

Task

Specify a comprehensive dashboard for the Shopping tab (organic only):
- Primary metrics (e.g., GMV, purchases, unique buyers, PDP CTR).
- Secondary metrics and guardrails (e.g., bounce rate, search exits, creator engagement).
- Define each metric precisely at both the event-level and user-level where relevant.
- List core dimensions (e.g., country, device, acquisition channel).
- Provide data freshness and SLAs.
Suppose engagement with the tab is high but purchase rate is low. Propose a diagnosis plan that includes:
- Segmentation (new vs. returning, search vs. feed entry, product category).
- Funnel drop-off analysis.
- Instrumentation checks.
- Experiments you would run to isolate UX vs. supply (inventory/price/trust) issues.

Build dashboard; diagnose engagement–purchase gap

Quick Overview

Build a Comprehensive Dashboard for the Shopping Tab (Organic Only)

Context

Task

Solution

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