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

bKash

What caused the sudden 30% decrease in bKash's merchant QR code transactions last week?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving Technical Understanding FinTech Mobile Banking Digital Payments Data Analysis Root Cause Analysis User Behavior FinTech Mobile Payments
Product Management Root Cause Analysis Question: Investigating sudden drop in bKash merchant QR code transactions

Introduction

The sudden 30% decrease in bKash's merchant QR code transactions last week is a critical issue that demands immediate attention. As we analyze this product problem, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term and long-term implications for our business.

I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement solutions.

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 sudden drop, I'm thinking there might be a technical issue. Have there been any recent updates to our QR code system or payment processing infrastructure?

Why it matters: Technical issues often cause abrupt changes in metrics. Expected answer: Information about recent system updates or lack thereof. Impact on approach: If there were updates, we'd focus on technical root causes; if not, we'd explore other factors more deeply.

  • Considering user behavior, I'm curious about any changes in merchant onboarding or training. Has there been any shift in how we educate merchants about QR transactions?

Why it matters: Changes in merchant understanding could lead to decreased usage. Expected answer: Details on recent changes in merchant education or support. Impact on approach: If there were changes, we'd investigate the effectiveness of our merchant support; if not, we'd look more into user experience issues.

  • Thinking about market dynamics, have there been any significant moves by competitors or changes in the regulatory environment recently?

Why it matters: External market forces can dramatically impact user behavior. Expected answer: Information on competitor actions or regulatory changes. Impact on approach: If there were external changes, we'd need to consider how to adapt our product; if not, we'd focus more on internal factors.

  • Considering the metric itself, has there been any change in how we define or measure QR code transactions?

Why it matters: Changes in measurement can create false impressions of performance shifts. Expected answer: Confirmation of consistent measurement methods or details of recent changes. Impact on approach: If there were changes in measurement, we'd need to recalibrate our analysis; if not, we'd proceed with our current understanding of the metric.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025