Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
⌘K
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

BigBasket

What's causing the sudden 30% increase in customer support tickets related to late deliveries on BigBasket in the past week?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving Operational Insight E-commerce Grocery Delivery Logistics E-Commerce Data Analysis Root Cause Analysis Customer Support Delivery Optimization
Product Management Root Cause Analysis Question: Investigating sudden increase in late delivery support tickets for online grocery platform

Introduction

The sudden 30% increase in customer support tickets related to late deliveries on BigBasket in the past week 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 our delivery service.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product ecosystem, metrics, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent system update. Have there been any significant changes to our delivery management system in the past two weeks?

Why it matters: System changes often have unintended consequences on delivery performance. Expected answer: Yes, there was a minor update to route optimization. Impact on approach: If confirmed, we'd focus on technical issues related to the update.

  • Considering user segments, I'm curious if this increase is uniform across all customer types. Are we seeing a disproportionate increase in tickets from any particular user segment, such as first-time customers or those in specific geographic areas?

Why it matters: This helps us narrow down whether it's a systemic issue or related to specific user groups or regions. Expected answer: The increase is more pronounced in urban areas. Impact on approach: We'd investigate urban-specific factors like traffic patterns or local events.

  • Given the sudden nature of the increase, I'm wondering about our delivery partner network. Has there been any significant change in our delivery workforce or partner relationships recently?

Why it matters: Changes in our delivery network could directly impact our ability to meet delivery promises. Expected answer: No major changes, but there's been some turnover in delivery partners. Impact on approach: We'd look into training and onboarding processes for new delivery partners.

  • Considering potential changes in customer behavior, have we recently run any major marketing campaigns or promotions that could have led to an unexpected surge in orders?

Why it matters: A sudden increase in order volume could strain our delivery capacity. Expected answer: There was a flash sale last week. Impact on approach: We'd analyze our capacity planning and demand forecasting processes.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Dec 4, 2024