π A Note on Confidentiality
The tool featured in this case study was developed for internal enterprise use and remains proprietary. Due to confidentiality agreements, I'm unable to share screenshots, detailed UI specifications, or live demos publicly. Instead, this portfolio-friendly version focuses on my design process, problem-solving approach, and key contributionsβthe parts of my work that truly matter when evaluating design thinking and execution skills.
While the visuals stay behind the curtain, the strategy, decisions, and impact are all here. β¨
Designing an AI-Driven Tool for Rapid Early-Stage Product Ideation
Overview
In 2024β2025, I led the design of an AI-powered rapid wireframing tool that helps product teams move from idea β structured interface in seconds. The goal was to streamline early-stage ideation by enabling designers, developers, and product managers to explore user flows faster and with greater clarity.
The Problem
Early product design often involves slow workflows: sketching ideas, translating them into digital wireframes, and iterating repeatedly before alignment. Teams needed a way to:
- Generate initial concepts quickly
- Explore alternatives with minimal overhead
- Reduce time spent on repetitive layout tasks
- Maintain consistency with design-system standards
- Support both text-based ideation and visual inputs
My Role
Product Designer β UX/UI, Prototyping, Research, and AI Integration
I worked cross-functionally with engineering and product partners to shape the tool's experience, focusing on interaction design, prototyping, user flows, and refinement of the AI-driven interface.
π§ Key Contributions
1. Natural-Language β Wireframe Conversion
I designed the interaction model for turning simple text prompts into editable wireframes. This included:
- Interpreting prompt structures
- Defining how the system translates intent into layout
- Error-tolerant feedback loops
- Visualizing hierarchical UI structures
This feature reduced the barrier to entry for teams who wanted to validate early concepts without committing to high-fidelity mockups.
2. Visual Input Interpretation
Users could upload screenshots or sketches and receive an editable wireframe. My contributions included:
- Mapping visual elements to semantic UI patterns
- Designing transformation states and refinement controls
- Ensuring the resulting layouts aligned with core design guidelines
3. Multi-Screen & Flow Generation
I designed the workflow for expanding a single screen into a multi-page prototype, including:
- Interaction patterns for branching flows
- Navigation logic
- Quick-switch editing modes (fast vs. detailed)
This helped cross-functional teams validate product journeys efficiently.
4. Iterative & Conversational Refinement
Inspired by conversational design paradigms, I built the interaction model where users could request changesβ"Add a sidebar," "Make this screen a checkout page"βand instantly see updated layouts.
"Iterative refinement through conversational feedback"
5. Design-System Alignment
To maintain brand consistency, I designed:
- Adaptive component insertion
- Intelligent spacing rules
- Automatic hierarchy correction
- Variation selection for repeated patterns
This ensured generated wireframes felt intentional, professional, and ready for handoff.
6. Collaboration & Engineering Partnership
I partnered closely with engineering teams using AI-powered development workflows to:
- Test prompt reliability
- Improve model output quality
- Provide design specifications
- Enable integration with existing design workflows (such as external prototyping tools)
π― Impact
Although confidential details cannot be shared publicly, the tool significantly improved early-stage alignment across multiple teams by:
- Reducing concept-to-wireframe time from hours to seconds
- Supporting more iterations with lower effort
- Increasing cross-discipline participation in ideation
- Enabling designers to focus on higher-level UX problems rather than layout drafting
π Process Highlights
Discovery & Research
- Collected feedback from designers, developers, and PMs
- Identified bottlenecks in early-phase design
- Synthesized patterns into core feature requirements
Prototyping
- Created low-fidelity interaction explorations
- Built testable interactive prototypes
- Validated flows with early users
Testing & Refinement
- Ran internal studies to assess prompt reliability
- Improved clarity of generated outputs
- Optimized UI for quick adjustments and flow-level editing
Final Experience
A flexible interface that:
- β Converts ideas into wireframes instantly
- β Allows conversational iteration
- β Supports flows, images, and system-guided refinement
- β Maintains consistency with design principles