What factors are contributing to the sudden 50% increase in customer support tickets related to Epark (Business/Productivity Software)'s project timeline feature?

Introduction

The sudden 50% increase in customer support tickets related to Epark's project timeline feature is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into product understanding, metric breakdown, and hypothesis generation. We'll then conduct a thorough root cause analysis, propose validation methods, and outline a comprehensive resolution plan.

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 change to the project timeline feature in the last month?

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

• Considering user segments, I'm curious about the distribution. Are these tickets coming from a specific user group or spread across all users?

Why it matters: Helps identify if it's a localized or systemic issue. Expected answer: Mostly from enterprise users. Impact on approach: If localized, we'd focus on that segment; if widespread, we'd consider broader system issues.

• Thinking about the nature of the tickets, I'm wondering about the content. What are the top 3 issues being reported in these tickets?

Why it matters: Identifies specific pain points to address. Expected answer: Timeline not updating, syncing issues, and permission errors. Impact on approach: Directs our focus to specific technical or UX areas.

• Considering potential system changes, has there been any backend infrastructure updates or integrations with other tools recently?

Why it matters: Backend changes can cause unexpected frontend issues. Expected answer: A new API was integrated last week. Impact on approach: If yes, we'd investigate the integration; if no, we'd look at other technical factors.