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

Tokopedia

What caused the sudden 30% decrease in completed transactions on Tokopedia's marketplace yesterday?

Prepared by NextSprints

15 mins
Report an error
Problem-Solving Data Interpretation Strategic Thinking E-commerce Fintech Retail User Experience E-Commerce Data Analysis Root Cause Analysis Crisis Management
Product Management Root Cause Analysis Question: Investigating sudden e-commerce transaction decline on Tokopedia platform

Introduction

The sudden 30% decrease in completed transactions on Tokopedia's marketplace yesterday is a critical issue that demands immediate attention. As we dive into this analysis, we'll systematically explore potential causes, gather relevant data, and develop a strategic plan to address the root cause while considering both short-term fixes and long-term implications for the platform.

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 a technical issue. Has there been any recent deployment or system update in the last 48 hours?

Why it matters: Recent changes often correlate with sudden performance drops. Expected answer: Yes, a new payment gateway was integrated yesterday morning. Impact on approach: If confirmed, we'd focus on the payment system and its integration.

  • Considering user segments, I'm curious about the distribution of the decrease. Is the 30% drop uniform across all user types and product categories?

Why it matters: Uneven distribution could point to specific user or product-related issues. Expected answer: The decrease is more pronounced in high-value transactions and certain product categories. Impact on approach: We'd investigate category-specific factors and high-value transaction processes.

  • Thinking about external factors, have there been any significant economic news or events that could impact consumer behavior?

Why it matters: External events can cause sudden changes in purchasing patterns. Expected answer: No major economic news, but a competitor launched a big promotion yesterday. Impact on approach: We'd consider competitive analysis and our market positioning.

  • Regarding system health, are all monitoring systems functioning correctly, and has the definition of "completed transaction" remained consistent?

Why it matters: Ensures we're working with accurate data and consistent metrics. Expected answer: All systems are operational, and metrics definitions haven't changed. Impact on approach: Confirms the issue is real and not a data anomaly, focusing our efforts on actual causes.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Nov 29, 2024