Boost User Login Rate: Key Metrics to Monitor
Overview
This question evaluates a candidate's competency in product analytics, KPI definition, funnel analysis, segmentation, and data quality considerations for improving user login rate and authentication flows (including MFA and risk-based step-up challenges).
PayPal
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Analytics & Experimentation
0
0
Scenario
You are the product data scientist responsible for improving a consumer fintech platform's user authentication experience and increasing the daily login rate. Users access the product via mobile apps and web. Logins can involve MFA and risk-based step-up challenges.
Task
Define the key metrics you would:
- Establish and prioritize to increase the user login rate.
- Monitor continuously (including leading and lagging indicators).
- Use to structure a dashboard or report.
Explain why each metric belongs, how you would compute it (at a high level), and how you’d segment and visualize it to drive decisions.
Hints
- Consider frequency, retention, funnel drop-offs, segmentation, and leading vs. lagging indicators.
- Call out data quality/guardrails (e.g., auto-login vs. user-initiated, bot filtering, security trade-offs).
Solution
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