What factors contributed to Barogo's restaurant delivery app experiencing a sudden 30% increase in user complaints about late deliveries last week?

Introduction

Barogo's restaurant delivery app experiencing a sudden 30% increase in user complaints about late deliveries last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be a recent change. Has there been any significant product update or system change in the past 2-4 weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a recent update to the routing algorithm. Impact on approach: If true, I'd focus on technical and product change hypotheses.

• Considering user segments, I'm curious about the distribution. Are these complaints evenly spread across all user types, or concentrated in specific segments?

Why it matters: Helps identify if it's a universal issue or specific to certain users. Expected answer: Complaints are higher among users in dense urban areas. Impact on approach: If true, I'd investigate location-based factors and routing challenges.

• Thinking about performance metrics, I'm wondering about the actual delivery times. Has there been a measurable increase in average delivery time, or just in complaints?

Why it matters: Distinguishes between perception issues and actual performance degradation. Expected answer: There's been a 15% increase in average delivery time. Impact on approach: If true, I'd focus on operational and technical factors affecting delivery speed.

• Considering potential data issues, I'm curious about our complaint tracking system. Has there been any change in how we collect or categorize user feedback recently?

Why it matters: Ensures we're not dealing with a data collection anomaly. Expected answer: No changes to the feedback system in the last 3 months. Impact on approach: If true, I'd rule out data collection issues and focus on actual performance problems.