Weekly Mobile Device Quality Testing Report

Track and analyze key quality control metrics for mobile devices and handheld electronics, focusing on defect rates, testing coverage, and quality assurance performance to maintain product excellence and minimize customer issues.

Report Objective

Monitor and evaluate the weekly quality control testing results for mobile devices and handheld electronics, focusing on defect identification, testing efficiency, and quality standards compliance. Track trends in failure rates, identify emerging quality issues, and ensure testing coverage meets requirements.

Device Testing Performance

Time series visualization showing test pass rates and critical defects identified

Questions to Consider:

Dec 2024Jan 2025Feb 2025test_week95.0%95.5%96.0%pass_ratepass_rateHow are Device Testing Pass Rates Trending?Pass rates showing steady performance with slight improvement in recent weeks
  • What is the week-over-week trend in pass rates?

  • Are there any concerning dips in quality performance?

  • How do current pass rates compare to target thresholds?

  • How many critical defects were identified this week?

  • Is there a pattern in critical defect occurrence?

  • Which weeks showed the highest number of critical issues?

Dec 2024Jan 2025Feb 2025test_week02468critical_defectscritical_defectsCritical Defect Trend AnalysisWeekly critical defect counts showing recent increase requiring investigation

Testing Coverage and Efficiency

Bar charts comparing planned vs actual test completion rates and testing time metrics

Questions to Consider:

SmartphonesTabletsWearablesGaming DevicesAudio Devicesdevice_type02,0004,0006,000sum(completed_tests)sum(completed_tests)Testing Coverage by Device TypeComparison of planned vs completed tests across device categories
  • Which device types are meeting testing targets?

  • Where are the largest gaps in testing coverage?

  • How does testing completion vary by device category?

  • Which device types require the most testing time?

  • Are there opportunities to improve testing efficiency?

  • How does testing time impact overall throughput?

SmartphonesTabletsWearablesGaming DevicesAudio Devicesdevice_type0.0200.0400.0600.0sum(avg_test_time_minutes)sum(avg_test_time_minutes)Average Testing Time by Device TypeTesting efficiency varies significantly across device categories

Quality Trends and Impact Analysis

Detailed breakdown of defect categories and their potential customer impact

Questions to Consider:

20406080sum(defect_count)5.010.0sum(customer_impact_score)Hardware DefectsSoftware BugsPerformance IssuesBattery IssuesDisplay ProblemsUI/UX IssuesDefect Categories and Customer ImpactDistribution of defects by category with impact assessment
  • Which defect categories have the highest customer impact?

  • Are high-frequency defects also high-impact issues?

  • Where should quality improvement efforts focus?