Why has Curve's cashback redemption rate declined from 80% to 65% over the past quarter?

Introduction

Curve's cashback redemption rate decline from 80% to 65% over the past quarter is a concerning trend that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Curve's product strategy.

I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into the product mechanics, user journey, and metric breakdown. From there, I'll formulate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this decline coincided with any particular season or holiday period?

Why it matters: Seasonal trends could explain temporary fluctuations in redemption rates. Expected answer: No significant seasonal correlation observed. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd look deeper into product or user behavior changes.

• Considering user segments, I'm curious about the distribution of this decline. Is the 15% drop uniform across all user groups, or are certain segments more affected?

Why it matters: Identifying specific affected segments could pinpoint targeted issues. Expected answer: The decline is more pronounced among newer users. Impact on approach: If segment-specific, we'd investigate onboarding and early user experience; if uniform, we'd look at broader product issues.

• Thinking about recent changes, have there been any significant updates to the cashback program or redemption process in the last quarter?

Why it matters: Recent changes could directly impact user behavior and redemption rates. Expected answer: Minor UI changes were implemented in the redemption flow. Impact on approach: If changes occurred, we'd analyze their specific impact; if not, we'd focus on external factors or gradual shifts in user behavior.

• Considering data integrity, has there been any change in how the redemption rate is calculated or tracked?

Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: No changes in calculation methods or tracking systems. Impact on approach: If changes occurred, we'd recalibrate our analysis; if not, we'd proceed with investigating actual user behavior and product performance.