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

Avaya

What factors are causing increased latency in Avaya's IP Office cloud communication system for small business customers this month?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Technical Analysis Data Interpretation Telecommunications Cloud Services Small Business Technology Performance Optimization Root Cause Analysis Cloud Communications Small Business Tech Avaya
Product Management Root Cause Analysis Question: Investigating increased latency in Avaya's cloud communication system

Introduction

Increased latency in Avaya's IP Office cloud communication system for small business customers 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 strategic implications.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose a comprehensive validation and 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 timing, I'm thinking there might be a recent change. Has there been any significant update or deployment to the IP Office system in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update. Impact on approach: If yes, we'd focus on change-related hypotheses; if no, we'd look at gradual degradation factors.

  • Considering user segments, I'm curious about the distribution. Is the latency increase uniform across all small business customers or concentrated in specific geographic regions or industries?

Why it matters: Helps identify if the issue is systemic or localized. Expected answer: The issue is more pronounced in certain regions. Impact on approach: Regional concentration would lead us to investigate regional infrastructure or ISP-related factors.

  • Thinking about performance metrics, I'm wondering about the magnitude. Can you quantify the latency increase – are we talking milliseconds, seconds, or minutes?

Why it matters: The scale of the issue informs the urgency and type of response needed. Expected answer: Latency has increased by several hundred milliseconds. Impact on approach: Larger increases might indicate more severe underlying issues, while smaller ones could be optimization opportunities.

  • Considering potential measurement changes, has there been any modification to how latency is measured or reported in the past month?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes to measurement methods. Impact on approach: If changed, we'd need to recalibrate our baseline; if not, we can proceed with historical comparisons.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025