5-Whys & Fishbone Root-Cause Analysis
If you like applying 5-Whys & Fishbone Root-Cause Analysis, every challenge here gives you a chance to practice it on a real industry brief.
- AnalysisIntermediateNew
Capstone Lab: Diagnose Why a Production Model Quietly Stopped Working
You receive 6 months of production logs (model inputs, predictions, ground truth from chargebacks) plus the original training data and model card. Reproduce the recall drop in a…
- Data Drift Detection
- Model Monitoring
- Root Cause Analysis
Open coursework - PresentationSeniorNew
Run a Post-Mortem on a Failed ML Deployment
You receive a packet: original training data sample, post-launch production logs, three Slack-style threads from the on-call rotation, and a summary of the telco's complaints. R…
- Root Cause Analysis
- Stakeholder Framing
- Model Monitoring
Machine Learning in Practice - AnalysisIntermediateNew
Defect-Trend Analysis and Quality Action Plan for an EV Charging Platform
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 statistic…
- Defect Analysis
- Statistical Process Control
- Root Cause Analysis
Software Quality and Process Improvement - AnalysisIntermediateNew
Diagnose and Restart LearnLab's Stalled Math-Tutoring Sprint
Treat the squad as a field site you can study through the records it has already produced. Using only the three provided materials, build a quantitative picture and a qualitativ…
- Scrum
- Retrospective Facilitation
- Data Analysis
Open coursework Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisBeginnerNew
Field Study: Fixing Order Fulfillment at a Cosmetics Startup
Using the order-fulfillment log dataset and the company case file provided to you, map how an order moves from placement to dispatch today and pinpoint where errors and delays a…
- Process Mapping
- Lean
- Quality Management
Open coursework - AnalysisBeginnerNew
Reducing Defect Rate in Stockholm D2C Cosmetics Production
Your task is to collect and analyze production data (provided in a simulated dataset) to identify root causes of defects. Use control charts (X-bar and R) and process capability…
- Statistical Process Control
- Process Capability Analysis
- Root Cause Analysis
Open coursework
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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