How would you measure App Store launch success?
Overview
This question evaluates a data scientist's proficiency in product analytics, experimentation, marketplace metrics design, and instrumentation, including defining business and user success and selecting primary (North Star), diagnostic, and guardrail metrics alongside cohort segmentation.
Shopify
Nov 8, 2025, 12:00 AM
Data Scientist
Onsite
Analytics & Experimentation
0
0
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Prompt
You are a Data Scientist at an e-commerce platform (e.g., Shopify) launching a new App Store (a two-sided marketplace connecting merchants who install apps and developers who publish apps).
Task
Describe how you would measure whether the App Store launch is successful.
Your answer should include:
- Success definition / goals : what “success” means for the business and for key users.
-
Metrics framework
with:
- A North Star metric (or 1–2 primary metrics)
- Diagnostic metrics (funnel + marketplace health)
- Guardrail metrics (avoid harming core product)
- Segmentation : which cohorts or segments you’d cut by (merchant size, app categories, geography, new vs existing, etc.).
-
Measurement strategy
:
- How you would establish a baseline and evaluate lift (A/B test vs quasi-experiment)
- How you would handle common issues (seasonality, cannibalization, delayed impact, selection bias)
- What data you’d need (key events/tables you would instrument or validate).
Output expectation
Provide a structured plan and explain tradeoffs. You may assume you can instrument events in the product and access transactional data.
Solution
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