Why has the average transaction value for LinkAja's peer-to-peer money transfer feature decreased by 25% in the last quarter?

Introduction

The recent 25% decrease in average transaction value for LinkAja's peer-to-peer money transfer feature is a concerning trend that requires thorough investigation. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the product and business.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this decrease coincided with any particular events or seasons?

Why it matters: Seasonal trends could explain temporary fluctuations in transaction values. Expected answer: No significant seasonal correlation identified. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'll investigate other factors.

• Considering user segments, I'm curious about the distribution of this decrease. Is the 25% drop uniform across all user groups, or are certain segments more affected?

Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The decrease is more pronounced among younger users. Impact on approach: We'd focus on understanding changes in younger users' behavior or needs.

• Thinking about recent changes, have there been any updates to the app's UI/UX or fee structure in the last quarter?

Why it matters: Product changes could directly impact user behavior. Expected answer: A minor UI update was implemented two months ago. Impact on approach: We'd investigate if the UI change affected user perception or ease of use.

• Regarding market dynamics, has there been any significant shift in competitor offerings or marketing strategies?

Why it matters: External competitive factors could influence user behavior. Expected answer: A competitor recently launched a cashback program. Impact on approach: We'd analyze how this might be affecting user preferences and transaction patterns.