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.
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)
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
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
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
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
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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