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Product Management Root Cause Analysis Question: Investigating Android battery optimization failure across devices

Asked at Google

15 mins

Why has Android OS battery optimization failed for 40% of devices?

Problem Solving Data Analysis Technical Understanding Mobile Technology Operating Systems Consumer Electronics
Root Cause Analysis Battery Optimization Android OS Performance Troubleshooting Mobile Tech

Introduction

Android OS battery optimization has failed for 40% of devices, presenting a significant challenge for user experience and device performance. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for Android's ecosystem.

I'll approach this issue by first clarifying the problem's scope, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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 scope, I'm thinking this might be a recent issue. Has this 40% failure rate been consistent, or did it spike recently?

Why it matters: Helps determine if it's a new problem or an ongoing issue. Expected answer: A recent spike in the last 1-2 months. Impact on approach: If recent, focus on recent changes; if ongoing, look at systemic issues.

  • Considering user segments, I'm wondering if this affects specific device types or Android versions more than others. Can you provide a breakdown of affected devices by manufacturer and Android version?

Why it matters: Identifies if the issue is universal or specific to certain hardware/software combinations. Expected answer: Higher failure rates in budget devices or specific Android versions. Impact on approach: Target solutions to most affected segments or investigate compatibility issues.

  • Thinking about performance metrics, I'm curious about the definition of "failure" in this context. What specific battery optimization metrics are we using to determine failure?

Why it matters: Ensures we're addressing the right problem and measuring it correctly. Expected answer: Failure defined as <X% improvement in battery life after optimization. Impact on approach: Adjust analysis based on the specific metrics used.

  • Considering recent changes, have there been any major updates to the Android OS or battery optimization algorithms in the past few months?

Why it matters: Identifies potential direct causes of the issue. Expected answer: A recent update to the battery optimization system. Impact on approach: Focus on regression testing and rollback options if a recent change is the culprit.

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