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

NextSprints
NextSprints Icon NextSprints Logo
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

BharatPe

Why has the average transaction value on BharatPe's POS devices declined by 20% in the last two weeks compared to the previous period?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving Strategic Thinking FinTech Digital Payments Retail Root Cause Analysis Data-Driven Decision Making FinTech POS Systems Transaction Analytics
Product Management Root Cause Analysis Question: Investigating declining transaction values on BharatPe POS devices

Introduction

The recent 20% decline in average transaction value on BharatPe's POS devices over the past two weeks is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for our product and business.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Given the sudden drop, I'm wondering about recent changes. Have there been any significant updates to the POS software or hardware in the last month?

Why it matters: Recent changes could directly impact transaction behavior. Expected answer: Yes, a software update was rolled out three weeks ago. Impact on approach: If confirmed, we'd focus on the update's features and potential bugs.

  • Considering user segments, has this decline been uniform across all merchant types, or are certain categories more affected?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decline is more pronounced in small retail businesses. Impact on approach: We'd investigate factors specific to small retail if confirmed.

  • Thinking about seasonality, are we comparing to a period that might have had unusually high transaction values?

Why it matters: Ensures we're not misinterpreting normal seasonal fluctuations. Expected answer: No, this period is typically stable year-over-year. Impact on approach: If confirmed, we'd rule out seasonality and focus on recent changes.

  • Regarding system integrity, have there been any reported issues with transaction logging or data collection in the past month?

Why it matters: Ensures the observed decline is real and not a data anomaly. Expected answer: No significant issues reported in our data systems. Impact on approach: If confirmed, we'd focus on actual transaction behavior rather than data integrity.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025