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

Meta

Why has WhatsApp Calls audio quality degraded for 40% of users?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Data Analysis Technical Understanding Messaging Telecommunications Social Media User Experience Root Cause Analysis Technical Troubleshooting WhatsApp VoIP
Product Management Root Cause Analysis Question: Investigating WhatsApp call audio quality degradation affecting 40% of users

Introduction

WhatsApp Calls audio quality degradation for 40% of users is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and hypothesis generation. We'll then validate our findings and propose a comprehensive resolution plan.

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 scale of the issue, I'm thinking this might be a recent change. Has this 40% degradation occurred suddenly or gradually over time?

Why it matters: Helps determine if it's a sudden technical issue or a gradual decline. Expected answer: Sudden change within the last week. Impact on approach: Sudden change would focus on recent updates or infrastructure changes.

  • Considering user segments, I'm wondering if this is affecting specific regions or device types more than others. Can you provide any breakdown of the affected users?

Why it matters: Identifies if it's a localized or device-specific issue. Expected answer: Affects users across regions but more prevalent on Android devices. Impact on approach: Would focus on Android-specific factors if confirmed.

  • Thinking about recent changes, have there been any significant updates to the WhatsApp calling feature or underlying infrastructure in the past month?

Why it matters: Pinpoints potential causes related to recent changes. Expected answer: A server-side update was rolled out two weeks ago. Impact on approach: Would investigate the impact of this specific update.

  • Regarding the metric itself, how exactly is "audio quality degradation" being measured? Is it based on user reports, technical metrics, or both?

Why it matters: Ensures we're working with accurate and relevant data. Expected answer: Combination of increased drop call rates and user complaints. Impact on approach: Would analyze both technical metrics and user feedback.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Dec 6, 2024