Evaluate Instagram Shopping Tab Success with Key Metrics

Q: Evaluate Instagram Shopping Tab Success with Key Metrics

This question evaluates a data scientist's expertise in product analytics, experiment and metric design, business-impact sizing, and monitoring for a social-commerce shopping feature, and is categorized under Analytics & Experimentation for a Data Scientist role.

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

Question

Instagram Shopping Tab: Post-Launch Evaluation and Sizing

Context

You are evaluating the success of a new Instagram Shopping Tab after launch. The goal is to measure whether it drives incremental commerce value while maintaining a healthy user and merchant experience and not harming core engagement or ads revenue.

Questions

Primary and Secondary Metrics
- What primary success metrics and guardrail/secondary metrics would you track to determine the Shopping Tab’s success?
Pre-Launch Sizing
- How would you estimate the expected impact before launch (e.g., using TAM × adoption × ARPU assumptions)?
Monitoring & Dashboards
- Describe or sketch the dashboards/plots you would build to monitor these metrics over time and during ramp/experiments.

Hints

Think funnel conversion, GMV, click-through, retention.
Size via TAM × adoption × ARPU; incorporate cannibalization and ramp scenarios.

Evaluate Instagram Shopping Tab Success with Key Metrics

Instagram Shopping Tab: Post-Launch Evaluation and Sizing

Context

Questions

Hints

Solution

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