Information Architecture Planning for SharePoint Success

The Foundation of SharePoint Success

Information architecture (IA) is the invisible framework that determines whether your SharePoint implementation thrives or becomes another digital graveyard. Poor IA leads to content chaos, user frustration, and abandoned intranets. Thoughtful IA creates intuitive experiences where users find information effortlessly and contribute content naturally.

Understanding Information Architecture Components

The Four Pillars of SharePoint IA

1. Organization Systems

How content is categorized and grouped:

• Site collections and sites hierarchy
• Hub site relationships
• Libraries and lists structure
• Folder vs. metadata approaches

2. Labeling Systems

How content is named and described:

• Site and page naming conventions
• Document naming standards
• Metadata field terminology
• Navigation link labels

3. Navigation Systems

How users move through content:

• Global navigation structures
• Hub navigation inheritance
• Mega menus and quick links
• Search as navigation

4. Search Systems

How content is discovered:

• Search scopes and verticals
• Refiners and filters
• Result sources and query rules
• Promoted results and best bets

Planning Methodology

Phase 1: Discovery and Analysis

Stakeholder Interviews

• Identify content owners across departments
• Understand current pain points
• Document existing workflows
• Capture future requirements

Content Audit

Inventory existing content across:

• File shares and local drives
• Current SharePoint environments
• Email attachments
• Third-party systems

User Research

• Conduct card sorting exercises
• Create user personas
• Map user journeys
• Identify findability challenges

Phase 2: IA Design

Site Topology Design

Start with hub sites for major organizational functions:

```

Intranet Hub (Corporate Communications)

├── HR Hub

│ ├── Benefits Site

│ ├── Policies Site

│ └── Recruiting Site

├── IT Hub

│ ├── Service Desk Site

│ ├── Security Site

│ └── Infrastructure Site

├── Operations Hub

│ ├── Quality Site

│ ├── Safety Site

│ └── Facilities Site

└── Projects Hub (Dynamic membership)

├── Project Alpha Site

├── Project Beta Site

└── [Future project sites]

```

Metadata Framework Design

Create a balanced taxonomy:

Site Columns (Enterprise)

• Department (choice)
• Document Type (managed metadata)
• Confidentiality (choice)
• Retention Category (managed metadata)

Term Store Architecture

• Functional taxonomy (what the content is)
• Organizational taxonomy (who owns it)
• Geographic taxonomy (where it applies)
• Product/Service taxonomy (what it relates to)

Phase 3: Navigation Strategy

Global Navigation Principles

• Maximum 7 top-level items (cognitive load research)
• Use nouns, not verbs (Resources, not "Find Resources")
• Audience-based rather than org-chart based
• Consistent across all hub members

Mega Menu Structure

```

[Company] [Teams] [Resources] [Tools]

• About Us - HR - Policies - IT Portal
• News - IT - Templates - Expense System
• Events - Sales - Training - Time Tracking
• Leadership - Marketing - Forms - Directory

```

Quick Links Strategy

• Role-based link groups
• Personalized through audience targeting
• Maximum 10 links per group
• Regular usage analytics review

Taxonomy Best Practices

Term Store Design Principles

Principle 1: Start Narrow, Expand Thoughtfully

• Begin with essential terms only
• Add terms based on demonstrated need
• Require business justification for new branches
• Review quarterly for rationalization

Principle 2: Balance Depth and Breadth

• Maximum 3-4 levels of hierarchy
• Each level should have 3-7 children
• Avoid orphan terms (single children)
• Consider faceted approaches for complex domains

Principle 3: User-Centric Terminology

• Use language your users actually use
• Include synonyms for common variations
• Avoid internal jargon when possible
• Test labels with real users

Managed Metadata vs. Choice Columns

Use Managed Metadata When:

• Values will be used across multiple sites
• Hierarchy is important
• Central governance is required
• Synonym support is needed

Use Choice Columns When:

• Values are specific to one list/library
• List is short and stable
• No hierarchy needed
• Local management is appropriate

Common IA Anti-Patterns

1. The Org Chart Trap

Problem: Structuring sites to mirror the org chart

Why It Fails: Users don't think in org chart terms when finding content

Solution: Organize by function, topic, or user task

2. Folder Proliferation

Problem: Deep folder hierarchies replicating file share structures

Why It Fails: Users lose content, search fails, permissions become unmanageable

Solution: Flat structures with robust metadata

3. Taxonomy Explosion

Problem: Creating comprehensive taxonomy upfront

Why It Fails: Unused terms, user confusion, maintenance burden

Solution: Start minimal, grow based on actual usage

4. Navigation Overload

Problem: Exposing all content through navigation

Why It Fails: Cognitive overload, important items buried

Solution: Curate navigation, use search for discovery

Governance Framework

IA Governance Structure

IA Steering Committee

• Meets quarterly
• Approves major structural changes
• Resolves cross-functional conflicts
• Sets strategic direction

Taxonomy Review Board

• Monthly term reviews
• Approves new term requests
• Monitors term usage
• Deprecates unused terms

Site Provisioning Team

• Implements site creation requests
• Enforces IA standards
• Maintains templates
• Monitors site proliferation

Change Management

Site Structure Changes

• Require business justification
• Impact analysis mandatory
• User communication plan
• Redirect strategy for moved content

Taxonomy Changes

• Change request process
• Synonym management for deprecated terms
• Bulk re-tagging support
• Training for affected users

Measuring IA Success

Key Metrics

Findability Metrics

• Search success rate (users finding what they need)
• Time to find content
• Search abandonment rate
• Zero-result query percentage

Adoption Metrics

• Site usage and engagement
• Content contribution rates
• Metadata compliance (% of content properly tagged)
• Navigation click-through rates

Satisfaction Metrics

• User satisfaction surveys
• Help desk ticket volume for "can't find"
• Task completion rates
• Net Promoter Score for intranet

Conclusion

Information architecture is the foundation that determines SharePoint success or failure. By investing time in thoughtful IA planning, creating governance structures for ongoing maintenance, and measuring outcomes against clear metrics, organizations can build SharePoint environments that users love and that deliver real business value.

Ready to design or redesign your SharePoint information architecture? Contact our IA specialists for a comprehensive assessment and roadmap.