Prototype an Explainability Panel for a Fintech Credit Assistant
Overview
What this challenge is about.
Design a fintech credit explainability panel, test with 5 users, and iterate. Deliver a prototype and rationale for a verifiable certificate.
The scenario
The fintech (~250 staff, regulated under MAS in Singapore) processes around USD 6 billion in annual SME cross-border volume; an explainability gap blocking shipment costs roughly one engineering month per regulatory review.
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.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Explainability Design
Apply explainability design to solve real industry problems and demonstrate production-level capability.
- Human Ai Interaction
Apply human ai interaction to solve real industry problems and demonstrate production-level capability.
- Figma Prototyping
Apply figma prototyping to solve real industry problems and demonstrate production-level capability.
- Think Aloud Testing
Apply think aloud testing to solve real industry problems and demonstrate production-level capability.
- Regulatory Design
Apply regulatory design to solve real industry problems and demonstrate production-level capability.
- Interaction Design
Apply interaction 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
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