What factors are contributing to the sudden 30% increase in customer support tickets for GSoft's Officevibe employee engagement platform?

Introduction

The sudden 30% increase in customer support tickets for GSoft's Officevibe employee engagement platform is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive plan for validation and resolution.

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 to the platform in the last 30 days?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, a new feature was released. Impact on approach: If yes, we'd focus on that feature; if no, we'd look at other factors.

• Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific type of customer or spread evenly across our user base?

Why it matters: Helps identify if it's a targeted issue or a system-wide problem. Expected answer: Tickets are concentrated among enterprise customers. Impact on approach: If concentrated, we'd focus on that segment; if spread out, we'd look at broader issues.

• Thinking about the nature of the tickets, I'm wondering about the content. What are the top 3 categories or themes of these support tickets?

Why it matters: Reveals the specific areas of the product causing issues. Expected answer: UI navigation, data syncing, and report generation. Impact on approach: Would guide our focus to specific product areas or features.

• Considering system health, I'm curious about our backend performance. Have there been any notable changes in server response times or error rates coinciding with this increase?

Why it matters: Technical issues often manifest as increased support tickets. Expected answer: Some intermittent slowdowns noted. Impact on approach: If yes, we'd prioritize technical investigations; if no, we'd focus more on user experience issues.