Defect-Trend Analysis and Quality Action Plan for an EV Charging Platform
Overview
What this challenge is about.
Pull 18 months of defect data from Jira + the field-incident system + customer-service tickets. Categorize defects by component, severity, and root-cause taxonomy. Run statistical trend analysis (control charts for defect-arrival rate per release, Pareto for top defect categories, correlation with release-cadence + feature-volume). Identify the top 5 contributing causes (likely candidates: insufficient hardware-in-loop testing, regression coverage gap on firmware-over-the-air, supplier-component variability, edge-case observability gaps, accelerated release cadence). Build a quality action plan with 8-12 actions, named owners, and 90-day measurable targets. Author a 2-page joint memo for CTO + Head of Hardware. Deliver analysis, action plan, and joint memo.
The Brief
What you'll do, and what you'll demonstrate.
Run defect-trend analysis on an EV charging platform and produce a 90-day quality action plan with measurable targets.
Earning criteria — what you'll demonstrate
- Apply statistical process control to software defect data
- Run a Pareto + root-cause analysis with mixed product + process dimensions
- Author a quality action plan with measurable 90-day targets
- Communicate quality risk to a cross-functional executive audience
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.