1 Week vs Months · AI-Accelerated Prototyping · Personalized UX
Leveraged AI tools to design and prototype a feature-rich, scalable product vision utilizing machine learning in a fraction of the time, enabling faster exploration of complex ideas.
The Opportunity
- Static navigation limits discovery
- Fragmented experience across resources
- No personalization by user type
The Challenge
- Complex system to design and prototype
- High effort for an unvalidated concept
- Difficult to align stakeholders early
The question became:
The Shift
AI as a Design Accelerator
Instead of spending weeks building low-fidelity artifacts, I used AI to rapidly generate and iterate on high-fidelity concepts—allowing me to explore complex ideas earlier in the process.
The Vision
Adaptive, Personalized Experiences
Move beyond static navigation to a system where users discover content dynamically—based on their role, behavior, and needs.
Traditional Model:
- Fixed navigation menus
- Predefined content structures
- Same experience for all users
Proposed Model:
- Search-first experience
- Filter-driven discovery
- Personalized content based on:
- role
- behavior
- preferences
Key Capabilities
1. Advanced Search & Filtering
- Multi-dimensional filtering using metadata
- Users refine results dynamically
- Supports complex discovery needs
Built on the CMS foundation from previous case study
2. Personalization by Role
Different users have different experiences:
Teachers:
- Teacher on-boarding
- Professional development
- Instruction-focused resources
- Classroom-ready materials
Administrators:
- Admin on-boarding
- Teacher & Classroom reporting
- License oversight
3. Customizable Navigation
- Users can favorite resources
- Create their own collections
- Shape their own navigation experience
Shifts control from system to the user
4. Bulk Actions at Scale
- Assign resources to multiple users
- Download or save multiple resources at once
- (Admins) Hide resources for subscription
5. Adaptive & Evolving Experience
The system evolves based on:
- usage patterns
- selected filters
- saved preferences
Design Approach
AI-Accelerated Exploration
- Rapid concept generation
- Iterated on multiple directions quickly
- Explored complex workflows early
System Thinking
- Built on structured metadata
- Designed for multiple user roles
- Considered scalability from the start
Balancing Speed with Intentionality
- Prioritized user needs over novelty
- Maintained design rigor despite speed
- Focused on meaningful interactions
Impact
SPEED
Prototype created in ~1 week
EXPLORATION
Rapid iteration across multiple directions
ALIGNMENT
Clear vision for stakeholders and improved cross-functional discussions
What This Made Possible
This approach doesn’t just improve speed—it changes how teams explore and validate ideas.
Faster Innovation Cycles
Teams can explore bold ideas without heavy upfront investment.
Stronger Product Visioning
High-fidelity prototypes make future-state concepts easier to evaluate.
Foundation for Personalization
Builds directly on metadata system to enable:
- recommendations
- adaptive UX
- smarter discovery
Reflection
What I Learned
- AI can significantly accelerate early-stage design
- Speed enables better exploration—not just faster output
- High-fidelity early prototypes improve alignment
What I’d Do Next
- Validate concepts with real users
- Test personalization effectiveness
- Explore AI-driven recommendations further
More Case Studies
Using AI to rapidly prototype a dynamic, metadata-driven experience
Transformed six disconnected CMS platforms into a single source
Redesigned a flexible user-friendly rostering experience
Designed and launched a scalable learning platform from scratch
A selection of client websites I’ve designed and built
Let’s Work Together
Let’s simplify complex products together
Reach out using the form below, or download my resume
