What factors are causing the sudden increase in customer support tickets related to Aurora Solar's proposal generation feature?

Introduction

The sudden increase in customer support tickets related to Aurora Solar's proposal generation 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 the product ecosystem, metric breakdown, and data analysis. From there, I'll generate and validate hypotheses, conduct a thorough root cause analysis, and propose a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the proposal generation feature. Has there been any significant update or release related to this feature in the past 30 days?

Why it matters: Recent changes often correlate with sudden increases in support tickets. Expected answer: Yes, there was a minor update to improve proposal aesthetics. Impact on approach: If confirmed, I'd focus on the update's specifics and potential unintended consequences.

• Considering user segments, I'm curious about the distribution of these tickets. Are we seeing this increase across all customer types, or is it concentrated in a particular segment?

Why it matters: Segmentation helps narrow down potential causes and tailor solutions. Expected answer: The increase is primarily from new users in the residential solar sector. Impact on approach: I'd investigate onboarding processes and feature complexity for this specific user group.

• Thinking about the nature of the tickets, I'm wondering about the specific issues being reported. What are the top 3 complaints or problems mentioned in these support tickets?

Why it matters: Understanding the specific issues guides our hypothesis formation and solution development. Expected answer: Users report difficulty in customizing proposals, slow generation times, and inaccurate cost calculations. Impact on approach: I'd prioritize these areas in my analysis and solution design.

• Considering potential system issues, I'm curious about our monitoring setup. Have we noticed any unusual patterns in system performance or error logs coinciding with this increase in tickets?

Why it matters: Technical issues often underlie user-facing problems. Expected answer: There's been a slight increase in timeout errors during peak usage hours. Impact on approach: I'd investigate scalability and performance optimization as potential root causes.