IT & Software

Information Architecture

Design Robust Information Architectures with this ChatGPT Prompt for Scalable, User-Centric Platforms

What This Prompt Does

Creates a comprehensive information architecture (IA) structure tailored to a specific product and user type.

Organizes content and features logically to enhance usability, findability, and user satisfaction.

Addresses key elements of IA including navigation hierarchy, user roles and permissions, metadata, taxonomy, and search structure.

Plans for scalability, ensuring the platform can adapt to future growth, content types, and user needs.

Tips

Be specific when listing the product type, user types, and core features—clear inputs produce more accurate, useful IA structures.
Define all user roles (e.g., Admin, Editor, Viewer) and their respective access levels or content permissions.
Include real-world use cases or workflows that the IA needs to support to ensure practical alignment with user behavior.
Think beyond main navigation—include filters, categories, tags, and search refinement tools.
Address how the system will scale with increasing content types, new modules, or larger user bases.
Include future scenarios like multilingual support, modular CMS integration, or marketplace expansion for better planning.

Prompt

Design a detailed information architecture for [product type] that serves [user type]. The platform includes features such as [list main features]. Consider user roles including [list roles] and their permissions. Map out the main navigation structure, secondary navigation, and content hierarchy. Include recommendations for taxonomy, metadata structure, and search functionality. Address how the architecture will scale for [future scenario] and handle [specific content types].

How To Use The Prompt

Fill in the placeholders [PRODUCT TYPE], [USER TYPE], [MAIN FEATURES], [USER ROLES], [FUTURE SCENARIO], and [SPECIFIC CONTENT TYPES] with relevant information. Provide clarity on your platform’s purpose and the kinds of users and data it supports.

Example:
"Design a detailed information architecture for an online learning platform that serves remote course instructors and students. The platform includes features such as video lessons, discussion forums, student progress tracking, and downloadable resources. Consider user roles including admin, instructor, student, and guest viewer, and their permissions. Map out the main navigation structure, secondary navigation, and content hierarchy. Include recommendations for taxonomy, metadata structure, and search functionality. Address how the architecture will scale for future multilingual courses and handle interactive content such as quizzes and embedded tools."

Example Input

#INFORMATION ABOUT MY PRODUCT:

Product type: Knowledge base and help center platform
User type: SaaS customers and internal support staff
Main features: Article publishing, advanced search, feedback collection, tagging, multilingual content
User roles: Admin, Author, Reviewer, Reader
Future scenario: Expansion to community forums and user-submitted content
Specific content types: Articles, videos, product manuals, release notes, customer FAQs

Example Output

Main Navigation Structure:

Home 
Browse Articles
Product Categories
Troubleshooting
Submit a Ticket
Community Forum (future)

Secondary Navigation (within articles):

Article History
Related Topics
Author Bio
User Feedback

Content Hierarchy:

Top Level: Product Lines (e.g., Platform, Mobile App)
Second Level: Feature Sets (e.g., Integrations, Billing, Reporting)
Third Level: Specific Actions (e.g., "Connect to Slack", "Export Invoices")

User Roles & Permissions:

Admin: Full access (edit, delete, publish, manage users)
Author: Draft and submit content
Reviewer: Approve/reject drafts
Reader: View and interact with published content only

Taxonomy & Metadata Structure:

Tags: Feature name, product line, platform version
Categories: Function-based (Billing, Technical Setup, Troubleshooting)
Metadata: Article owner, last updated, version compatibility, language

Search Functionality:

Supports Boolean logic, filters by tag/category, and predictive search suggestions
Future-ready for NLP enhancements and multilingual indexing

Scalability Considerations:

Modular architecture to support user-submitted content
Structured templates for new content types like how-to videos or downloadable assets
Expandable tagging and category schema to support new product lines

Additional Information

This mega-prompt is a powerful tool for UX architects, product teams, content strategists, and platform designers who need a structured and scalable approach to organizing digital information. A well-constructed IA enhances user experience, improves discoverability, and reduces content redundancy.

Use the output to guide wireframing, CMS configuration, or prototyping.
Align teams on shared terminology and hierarchy before development begins.
Revisit your IA regularly as the platform grows and user needs evolve.

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