Separate demand from supply for jeans
Overview
This question evaluates a data scientist's ability to perform data-driven diagnostics, funnel-metric construction, quantitative decision-rule design, and experimentation planning to distinguish demand-side from supply-side constraints in a marketplace jeans category.
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Oct 13, 2025, 9:49 PM
Data Scientist
Onsite
Analytics & Experimentation
0
0
Scenario
You are a Data Scientist at a multi-category marketplace. The Jeans category is underperforming. You must diagnose whether the primary bottleneck is demand (users not engaging) or supply (inventory/assortment/price/availability mismatches) and recommend next steps.
Assume you have logs for impressions, clicks, searches, filter events, session metrics, and orders; and that you can compute category and peer-category baselines.
Tasks
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Design an analysis to diagnose whether the bottleneck is demand or supply using the following signals:
- CTR on jeans ads/search results
- Share of search sessions with filters applied
- Session time (search session duration)
- Conversion given search
- Conversion given filter use
- Price-band coverage
- Define a quantitative decision rule (with thresholds) that classifies the category as demand-limited or supply-limited using funnel ratios such as Conversions/Searches and a Filter-Use × Low-Conversion flag.
- Propose follow-up experiments or interventions for each diagnosis and how you will measure success without cannibalizing adjacent categories (e.g., chinos/pants).
Solution
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