Why has GOAT's sneaker authentication service seen a 15% drop in throughput over the past month?

Introduction

GOAT's sneaker authentication service has experienced a 15% drop in throughput over the past month, raising concerns about the platform's efficiency and reliability. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this critical issue.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this 15% drop been consistent across all sneaker categories and price points?

Why it matters: Seasonal trends could explain the throughput decrease and inform our solution approach. Expected answer: The drop is relatively consistent across categories, suggesting a systemic issue. Impact on approach: If consistent, we'll focus on platform-wide factors; if not, we'll investigate category-specific issues.

• Considering recent changes, I'm wondering if there have been any updates to the authentication process or technology in the last 1-2 months?

Why it matters: Recent changes could directly impact throughput and point to specific areas for investigation. Expected answer: A new AI-assisted authentication step was implemented 6 weeks ago. Impact on approach: If changes were made, we'll scrutinize their impact; if not, we'll look at other factors.

• Thinking about user behavior, has there been any significant shift in the volume or type of sneakers being submitted for authentication?

Why it matters: Changes in user behavior or market trends could affect throughput independently of internal factors. Expected answer: Submission volume has remained stable, but there's been a slight increase in high-value sneakers. Impact on approach: If user behavior has changed, we'll analyze its impact on the authentication process.

• Considering system performance, have there been any notable changes in error rates or processing times for authentication requests?

Why it matters: Technical issues could be slowing down the authentication process, directly impacting throughput. Expected answer: Error rates have increased by 5%, and average processing time has gone up by 20%. Impact on approach: If system performance has degraded, we'll prioritize technical investigations.