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Product Management Root Cause Analysis Question: Investigating email response time increase in Superhuman

Why has the average email response time for Superhuman users increased by 20% over the past month?

Data Analysis Problem Solving Product Strategy SaaS Productivity Software AI/ML
Product Metrics Root Cause Analysis User Behavior AI Optimization Email Productivity

Introduction

The recent 20% increase in average email response time for Superhuman users is a concerning trend that requires immediate attention. As we dive into this product issue, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

To tackle this problem, I'll start by asking clarifying questions, rule out external factors, and then delve into a detailed analysis of our product, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent product update. Has there been any significant feature release or change in the past month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, a new AI-powered email sorting feature was introduced. Impact on approach: If true, we'd focus on the new feature's performance and user adoption.

  • Considering user segments, I'm curious about the distribution of this increase. Is the 20% increase uniform across all user types, or are certain segments more affected?

Why it matters: Helps identify if the issue is universal or specific to certain user groups. Expected answer: Premium users are experiencing a 30% increase, while others see a 10% increase. Impact on approach: We'd prioritize investigating premium user experiences and features.

  • Thinking about external factors, have there been any significant changes in email volume or patterns over the past month?

Why it matters: External changes in email behavior could affect response times. Expected answer: Overall email volume has remained consistent. Impact on approach: If true, we'd focus more on internal factors rather than external email trends.

  • Considering system performance, has there been any degradation in email processing or delivery speeds on our end?

Why it matters: Technical issues could directly impact response times. Expected answer: No significant system performance issues have been reported. Impact on approach: If true, we'd shift focus from technical infrastructure to user experience and feature design.

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