GenGuide
AI-powered corporate learning platform for global product teams.
Architecture and editorial interface design for a generative AI enterprise solution that converts complex internal documentation and training into personalized, interactive knowledge paths.
Led Product Design end-to-end: strategic alignment, user research, AI interaction guidelines, usability testing, and production design system tokens.
Global enterprises struggled with low engagement and high drop-off rates in traditional corporate training. Training materials were verbose, static, and difficult to reference during live workflows.
Employees lost an average of 4.5 hours per week searching through fragmented docs, while L&D teams spent months producing courses that became outdated quickly.
In-depth research with 28 professionals across 4 regions revealed that the core issue was not a lack of content, but information overload. Users needed contextual, actionable answers with source citations.
Determining how AI recommendations should be presented.
Prioritized user control and source attribution to mitigate data hallucination concerns and build professional trust.
Required slightly more explicit user confirmations, but guaranteed transparency over source documentation.
92% increase in user trust scores regarding AI assistant outputs.
Structuring learning modules within the core workspace.
Replaced deep tree structures with modular, progress-aware content cards.
Demanded rigorous grid discipline and font hierarchy to maintain low visual noise.
40% reduction in drop-off during the initial 10 minutes of learning sessions.
An editorial, calm workspace combining semantic search, AI executive summaries, and a persistent assistant dock.
- ✓ Contextual assistant dock accessible via keyboard shortcuts
- ✓ Instant mind mapping and chapter-level executive highlights
- ✓ Restrained typographic hierarchy optimized for cognitive focus
Overview of the GenGuide workspace highlighting grid structure and persistent assistant integration.
Left: Visual discovery exploration. Right: Focused reading view with full WCAG 2.2 AA compliance.
Design System & AI UI Tokens
Built a resilient UI component system with explicit AI states (semantic loading, streaming response, citation tags, and confidence indicators).
84% voluntary adoption across product and operations departments within 60 days.
Significant reduction in onboarding time for new team members.
Extremely positive feedback regarding typographic clarity and zero UI clutter.
- AI interactions must emphasize source attribution and human oversight over blind automation.
- Visual restraint and clear hierarchy dramatically improve retention for dense technical domain data.
- Continuous cross-disciplinary engineering syncs early in the wireframe phase ensure seamless design token implementation.