For Dave's bill negotiation feature, should we optimize for maximum savings or fastest turnaround time for users?

Introduction

For Dave's bill negotiation feature, we're facing a critical trade-off between optimizing for maximum savings or fastest turnaround time for users. This decision will significantly impact user satisfaction, retention, and our overall value proposition. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a data-driven recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Dave is a personal finance app focusing on bill management and savings. Could you confirm if this is correct, and if there are any specific market conditions or competitive pressures we should be aware of?

Why it matters: Helps frame the trade-off within the broader product strategy Expected answer: Confirmation of product focus and insights on market dynamics Impact on approach: Would influence prioritization of savings vs. speed based on competitive landscape

• Business Context: Based on our revenue model, I'm thinking this feature might be monetized through a percentage of savings or subscription fees. How does this feature tie into our current monetization strategy?

Why it matters: Aligns solution with business objectives and revenue goals Expected answer: Details on monetization approach (e.g., percentage of savings, flat fee, or part of premium tier) Impact on approach: Would influence whether to prioritize higher savings amounts or faster processing

• User Impact: Considering user behavior, I'm hypothesizing that different user segments might value savings vs. speed differently. Do we have data on user preferences or segmentation that could inform this decision?

Why it matters: Ensures solution addresses diverse user needs Expected answer: Insights on user segments and their preferences Impact on approach: Might lead to a hybrid solution or targeted approaches for different segments

• Technical Feasibility: I'm assuming the negotiation process involves some level of automation or AI. Can you share any technical constraints or capabilities that might impact our ability to optimize for either savings or speed?

Why it matters: Ensures proposed solution is technically feasible Expected answer: Overview of current technical capabilities and limitations Impact on approach: Would influence the realistic trade-offs we can make between savings and speed

• Resource Allocation: Given the potential impact of this feature, I'm curious about our team's capacity to implement and iterate on different approaches. What resources do we have available for this project?

Why it matters: Helps scope the solution within realistic constraints Expected answer: Overview of team size, budget, and timeline Impact on approach: Would influence the complexity and scale of the solution we can propose