Prototype an Explainability Panel for a Fintech Credit Assistant
Overview
What this challenge is about.
You receive: the model's top-10 SHAP-style feature contributions per customer (a feature-importance technique that breaks an ML prediction into per-input contributions), the current UI, and a 1-page summary of the bank's internal explainability standard. Design a panel that shows the credit limit, the three biggest drivers (in plain English, not feature names), an expected range, and one or two recourse actions the SME owner can take. Run a 5-user think-aloud test, iterate once, and deliver the prototype plus a 2-page rationale that maps each design choice to a compliance or usability requirement.
The Brief
What you'll do, and what you'll demonstrate.
Design a credit-limit explainability panel that satisfies internal compliance and is genuinely useful to SME owners.
Earning criteria — what you'll demonstrate
- Translate machine-learning explanations (SHAP-style contributions) into lay UI
- Design for AI systems under regulatory transparency obligations
- Run lightweight think-aloud tests and iterate based on results
- Hand off design with a clear traceability matrix to requirements
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.
AI Product Designer
Designing for explainability under real regulatory pressure is the bread-and-butter of AI product designers at fintech, healthtech, and any high-risk-AI vendor.
This challenge sharpens
- explainability-design
- regulatory-design
- figma-prototyping
AI Safety Researcher
Translating internal-explanation outputs into a panel that genuinely supports user recourse is core safety-research work on deployed AI.
This challenge sharpens
- explainability-design
- human-ai-interaction
- regulatory-design
AI Product Manager
Owning the requirement-to-design traceability matrix is the AI PM's job at any regulated AI vendor.
This challenge sharpens
- regulatory-design
- interaction-design
- human-ai-interaction