Introduction
Balancing CRED's credit card application conversions with maintaining a high-quality user experience is a critical challenge. This scenario involves optimizing the core revenue stream while preserving the premium feel that attracts and retains users. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a data-driven recommendation.
Analysis Approach
I'll start by asking clarifying questions, then systematically work through the trade-off analysis framework to provide a comprehensive strategy.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps quantify the "high-quality user experience" aspect of the trade-off Expected answer: NPS scores, retention rates, and in-app feedback metrics Impact on approach: Would influence how we weigh conversion improvements against experience metrics
Why it matters: Helps quantify the business impact of increasing conversions Expected answer: 60-80% of revenue from credit card applications Impact on approach: Higher percentage would justify more aggressive conversion optimization
Why it matters: Identifies where in the funnel we might focus optimization efforts Expected answer: 30-40% start to approval rate Impact on approach: Low rates might suggest focusing on application quality over quantity
Why it matters: Determines the scope and speed of potential experiments Expected answer: Moderately flexible, with some legacy constraints Impact on approach: Limited flexibility might require more careful, high-impact experiments
Why it matters: Helps align our strategy with upcoming product changes Expected answer: New bank partnership launching next quarter Impact on approach: Might suggest focusing on optimizing for the new partnership's requirements
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