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Product Management Root Cause Analysis Question: Investigating declining chat widget conversations for a SaaS platform
Image of author vinay

Vinay

Updated Nov 30, 2024

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Why has the number of new conversations started in Intercom's live chat widget decreased by 30% over the past week?

Data Analysis Problem Solving Product Strategy SaaS Customer Support B2B Software
User Engagement Analytics Root Cause Analysis SaaS Customer Support

Introduction

The sudden 30% decrease in new conversations started through Intercom's live chat widget over the past week is a critical issue that demands immediate attention. This significant drop could impact customer engagement, support quality, and ultimately, business outcomes. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the issue.

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 have been a recent product update. Has there been any change to the chat widget or its placement on websites in the last 1-2 weeks?

Why it matters: Recent changes could directly impact user interaction. Expected answer: Yes, there was a minor UI update. Impact on approach: If yes, we'd focus on the change's impact; if no, we'd look at other factors.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 30% drop uniform across all customer types, or is it more pronounced in certain segments?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decrease is more significant in SMB customers. Impact on approach: Segment-specific issues would require targeted solutions.

  • Thinking about external factors, have there been any changes in marketing campaigns or traffic sources driving users to pages with the chat widget?

Why it matters: Changes in traffic could explain the decrease in new conversations. Expected answer: No significant changes in marketing efforts. Impact on approach: If yes, we'd investigate marketing impact; if no, we'd focus more on product and user behavior.

  • Considering system health, I'm wondering about any backend issues. Have there been any reported server downtimes or performance issues in the past week?

Why it matters: Technical issues could prevent users from starting conversations. Expected answer: No major reported issues, but some intermittent slowdowns. Impact on approach: Significant issues would prioritize technical investigation; minor ones would be considered alongside other factors.

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