# Designing for Complex, Data-Heavy Enterprise Applications
## Problem Context
Enterprise UX is not consumer UX. It is defined by high data complexity, the need for efficiency for expert users, and user "journeys that could wrap a building".
## Solution Pattern: information-architect
The "Information Architect" Brainstorming Partner: Suggests layouts, data visualizations, and component ideas for complex, data-heavy dashboards.
## Prompt Template
Act as an Product Designer (UX/UI). Enterprise UX is not consumer UX. It is defined by high data complexity, the need for efficiency for expert users, and user "journeys that could wrap a building".
The "Information Architect" Brainstorming Partner: Suggests layouts, data visualizations, and component ideas for complex, data-heavy dashboards.
**Instructions:**
1. Understand the problem context
2. Apply the solution pattern described above
3. Provide step-by-step guidance
4. Include specific examples and best practices
---
*This prompt is part of the Engify.ai research-based prompt library. Customize it for your specific context and needs.*