Design a Model-Monitoring Dashboard for an MLOps Platform
Overview
What this challenge is about.
Design a Model-Monitoring Dashboard for an MLOps Platform. Intermediate challenge in design. Designing real products under real constraints, earn a blockchai...
The Brief
What you'll do, and what you'll demonstrate.
Redesign the primary model-monitoring dashboard so the four core questions are answered in the order users actually ask them.
This is not a design exercise. It is the work a product designer does between a brief and a shipped interface. That distinction matters to every hiring manager who has seen candidates redesign Spotify's homepage and none who have worked under real product constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Apply visual-hierarchy principles to a dense operational dashboard
- Match chart type to data type for ML-specific metrics
- Design for the user's actual question order, not the data team's mental model
- Communicate redesign rationale defensibly to a product team
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Data Visualization
Master · Data Engineering
Strong alignment
This challenge maps to Data Visualization at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Dashboard Design
Apply dashboard design to solve real industry problems and demonstrate production-level capability.
- Visual Hierarchy
Apply visual hierarchy to solve real industry problems and demonstrate production-level capability.
- Chart Selection
Apply chart selection to solve real industry problems and demonstrate production-level capability.
- Ml Metrics
Apply ml metrics to solve real industry problems and demonstrate production-level capability.
- Streamlit
Apply streamlit to solve real industry problems and demonstrate production-level capability.
- Redline Design
Apply redline design to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Designer
Redesigning a dense ML-product dashboard with explicit rationale is the exact day-one work of an AI product designer at any MLOps or analytics platform.
This challenge sharpens
- dashboard-design
- visual-hierarchy
- chart-selection
AI Product Manager
Owning the four-question framing and the customer-test script is exactly how AI PMs scope product redesigns.
This challenge sharpens
- dashboard-design
- ml-metrics
- redline-design
MLOps Engineer
Understanding what makes a good monitoring surface translates into stronger MLOps platform engineering decisions.
This challenge sharpens
- ml-metrics
- streamlit
- dashboard-design