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Product Management Root Cause Analysis Question: Investigating decreased user engagement on CRED's investment platform

Asked at CRED

15 mins

Why has the average time spent on CRED's investment platform decreased from 10 minutes to 5 minutes per session over the past month?

Data Analysis Problem-Solving User Experience FinTech Investment Platforms Digital Payments
User Engagement Metrics Performance Optimization Root Cause Analysis FinTech

Introduction

The sudden decrease in average time spent on CRED's investment platform from 10 minutes to 5 minutes per session over the past month is a concerning trend that requires immediate attention. This significant drop could impact user engagement, investment activity, and ultimately, the platform's revenue. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Given the timing, I'm wondering about recent platform changes. Have there been any significant updates to the investment platform in the last 1-2 months?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, we launched a new UI two weeks ago. Impact on approach: If confirmed, I'd focus on UI/UX-related hypotheses.

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

Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: Premium users seem less affected than others. Impact on approach: I'd investigate features specific to non-premium users.

  • Looking at the metric itself, I'm wondering about its components. Has there been any change in how session time is calculated or tracked?

Why it matters: Ensures we're not dealing with a data anomaly. Expected answer: No changes in calculation methods. Impact on approach: If confirmed, I'd focus on actual user behavior changes.

  • Thinking about external factors, have there been any significant market events or competitor actions that might influence user behavior?

Why it matters: External factors could explain the change in user engagement. Expected answer: No major market disruptions, but a competitor launched a new feature. Impact on approach: I'd consider how competitor actions might influence our users.

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