Why has the average time to complete a money transfer on SnapScan increased from 10 seconds to 25 seconds over the past two weeks?

Introduction

The recent increase in average money transfer time on SnapScan from 10 to 25 seconds is a critical issue that demands immediate attention. This significant performance degradation could impact user satisfaction, retention, and overall product success. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent product update. Has there been any significant change to the SnapScan app or backend systems in the past month?

Why it matters: Recent changes could directly correlate with the performance issue. Expected answer: Yes, there was a security update two weeks ago. Impact on approach: If confirmed, I'd focus on investigating the impact of this update.

• Considering user segments, I'm curious about the distribution of this issue. Is the increased transfer time consistent across all user segments, or are certain groups more affected?

Why it matters: Helps narrow down potential causes and target solutions. Expected answer: The issue is more pronounced for users with older device models. Impact on approach: I'd investigate device-specific optimizations and backwards compatibility.

• Given the specific increase from 10 to 25 seconds, I'm wondering about the nature of the slowdown. Is the delay occurring at a particular step in the transfer process?

Why it matters: Pinpoints where in the user journey the problem is occurring. Expected answer: The delay is primarily during the transaction confirmation step. Impact on approach: I'd focus on optimizing the confirmation process and related backend operations.

• Thinking about external factors, has there been any change in network providers or payment processing partners recently?

Why it matters: External dependencies could be causing the slowdown. Expected answer: No significant changes in external partnerships. Impact on approach: I'd shift focus to internal systems and recent code changes.