Introduction
For Kiva's direct lending program, we're faced with a critical trade-off: should we focus on lowering interest rates or increasing loan amounts available to borrowers? This decision will significantly impact our borrowers, lenders, and overall platform sustainability. I'll analyze this trade-off by examining the product ecosystem, potential impacts, key metrics, and experimental approaches to guide our decision-making process.
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and objectives of this decision. Then, I'll walk you through my analysis framework, covering product understanding, trade-off impacts, metrics, experimentation, and ultimately, a recommendation with next steps.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps position our decision within the broader market context Expected answer: We have data showing a trend towards lower rates but limited loan amounts Impact on approach: Would influence whether we prioritize competitiveness or uniqueness
Why it matters: Directly impacts the financial implications of our decision Expected answer: Confirmation of the revenue model and any planned changes Impact on approach: Would affect how we balance borrower benefit with platform sustainability
Why it matters: Helps tailor our approach to serve different user needs effectively Expected answer: Data on loan repayment rates and demand across borrower segments Impact on approach: Might lead to a segmented strategy rather than a one-size-fits-all solution
Why it matters: Ensures our recommendation is technically feasible Expected answer: Overview of current system capabilities and any planned upgrades Impact on approach: Could influence the timeline and scope of our recommendation
Why it matters: Helps scope the recommendation within our operational constraints Expected answer: Overview of available resources and any competing priorities Impact on approach: Would inform the scale and complexity of our proposed solution
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