Why has the average time spent on Zapper's DeFi dashboard decreased from 10 minutes to 3 minutes per session this month?

Introduction

The recent decrease in average time spent on Zapper's DeFi dashboard from 10 minutes to 3 minutes per session this month is a concerning trend that requires immediate attention. This significant drop in user engagement could have far-reaching implications for the product's success and user retention. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Given the sudden drop, I'm wondering about recent changes. Have there been any significant updates to the dashboard's UI or functionality in the past month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a UI refresh. Impact on approach: If confirmed, we'd focus on UI-related hypotheses.

• Considering user segments, has this decrease been uniform across all user types, or are certain groups more affected?

Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: Power users seem less affected than casual users. Impact on approach: We'd tailor solutions to specific user segments if differences exist.

• Thinking about external factors, have there been any major changes in the DeFi market conditions during this period?

Why it matters: Market conditions can significantly influence user behavior in financial products. Expected answer: Some market volatility, but nothing extraordinary. Impact on approach: If confirmed, we'd consider market-related factors in our analysis.

• Regarding data accuracy, has there been any change in how session time is measured or reported?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real issue. Expected answer: No changes in measurement methods. Impact on approach: If changes occurred, we'd need to reassess the validity of the data before proceeding.