Overview
What this challenge is about.
Run a 5-day co-design study to build trust cues for an enterprise RAG assistant, then validate a Figma prototype. Get a verifiable certificate.
The scenario
The consultancy (~600 staff) deploys vertical RAG assistants under fixed-fee contracts and reuses each design pattern across clients; better trust patterns shave weeks off pilot acceptance.
The Brief
What you'll do, and what you'll demonstrate.
Design and validate a trust layer for an enterprise RAG assistant so pilot users stop double-checking every answer.
Earning criteria — what you'll demonstrate
- Plan and facilitate a co-design study with non-designer participants
- Translate trust-and-transparency research into concrete interaction patterns
- Design for AI uncertainty without overwhelming non-technical users
- Communicate qualitative findings persuasively to engineering teams
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Human-Computer Interaction for AI Systems
Master · Applied Ai
Strong alignment
This challenge maps to Human-Computer Interaction for AI Systems 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.
- Co Design
Apply co design to solve real industry problems and demonstrate production-level capability.
- User Research
Conduct interviews, surveys, and usability tests to uncover actionable user insights.
- Trust And Transparency
Apply trust and transparency to solve real industry problems and demonstrate production-level capability.
- Rag Interaction Design
Apply rag interaction design 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.
- Human Ai Interaction
Apply human ai interaction 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
Owning a co-design study for a high-stakes AI surface and translating it into a defensible prototype is core AI product designer work at any consultancy or in-house AI team.
This challenge sharpens
- co-design
- rag-interaction-design
- figma-prototyping
AI Product Manager
Running the study, synthesizing it, and writing the report for engineering mirrors the AI PM's job at any enterprise-AI vendor.
This challenge sharpens
- user-research
- trust-and-transparency
- human-ai-interaction
AI Solutions Architect
Knowing how trust cues land with pilot users gives an emerging solutions architect a credible voice in the citation/grounding choices baked into a RAG architecture.
This challenge sharpens
- trust-and-transparency
- rag-interaction-design
- human-ai-interaction