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Product Management Trade-off Question: Kuda Bank weighing loan expansion against savings feature improvement

Should Kuda Bank prioritize expanding our loan offerings to increase revenue or focus on improving savings features to boost user retention?

Product Trade-Off Hard Member-only
Strategic Decision Making Data Analysis Experiment Design Banking Fintech Digital Finance
Product Strategy User Retention Fintech Trade-Off Analysis Revenue Growth

Introduction

The trade-off between expanding loan offerings and improving savings features at Kuda Bank presents a critical strategic decision. This scenario involves balancing revenue growth against user retention, two fundamental pillars of our business. I'll analyze this trade-off by examining the product ecosystem, potential impacts, and key metrics, then design an experiment to inform our decision-making process.

Analysis Approach

I'd like to outline my approach to ensure we're aligned on the analysis structure and key areas of focus.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm assuming Kuda Bank is a digital-first bank targeting young professionals. Could you confirm our primary user demographic and their most pressing financial needs?

Why it matters: Helps tailor our solution to user needs Expected answer: 25-40 year old urban professionals focused on wealth building Impact: Would influence which feature set to prioritize

  • Business Context: Based on our current revenue mix, I'm thinking loans might be a smaller portion compared to other services. What's the current revenue split between loans, savings, and other products?

Why it matters: Helps assess potential revenue impact of expanding loans Expected answer: Loans contribute 20% of revenue, savings 40%, other services 40% Impact: Higher loan revenue would justify prioritizing loan expansion

  • User Impact: Considering user behavior, I'm curious about engagement levels with our savings features. What's our current user retention rate, and how does it correlate with savings feature usage?

Why it matters: Indicates potential retention boost from improving savings Expected answer: 70% retention rate, strong correlation with savings usage Impact: Strong correlation would support focusing on savings improvements

  • Technical: Given the complexity of loan systems, I'm wondering about our current technical capabilities. How scalable is our existing loan infrastructure?

Why it matters: Affects feasibility and timeline of loan expansion Expected answer: Moderate scalability, would require significant investment Impact: Limited scalability might favor prioritizing savings features

  • Resource: Thinking about team capacity, I'm curious about our current resource allocation. How are our product and engineering teams currently split between loans and savings projects?

Why it matters: Indicates potential for quick wins in either area Expected answer: 30% loans, 50% savings, 20% other Impact: Higher allocation to savings might suggest easier improvements there

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