The Problem
One of Australia's largest financial services organisations was redesigning the front-end experience and information architecture of its public website to simplify navigation across banking, superannuation, investments, retirement and financial advice. The existing site had evolved into a highly complex ecosystem spanning multiple audiences, products and legacy structures.
Our Approach
- Analysis of existing behavioural analytics & data
- Open card sorting
- Moderated and unmoderated interviews
- Tree testing
- Navigation validation studies
- Competitive IA benchmarking
- Mental model analysis across multiple audience cohorts
Key Insights
- Users consistently grouped content by product category rather than audience type
- Product-led navigation structures outperformed audience-led structures
- Superannuation users demonstrated the least consistent mental models
- Participants prioritised direct task completion and terminology familiarity over internal organisational structures
- Navigation sprawl and content fragmentation were negatively impacting discoverability.
Recommendations included
- Development of a flatter, product-led information architecture
- Rationalisation of overlapping navigation pathways and duplicate content structures
- Improved integration between superannuation, investments and retirement content experiences
- Simplified navigation focused on task-based journeys
- Enhanced advisor and employer pathways
Results
- Delivered a validated future-state information architecture grounded in customer mental models and behavioural evidence
- Reduced ambiguity across core product and audience pathways
- Improved confidence in navigation terminology, hierarchy and discoverability prior to implementation
- Provided a scalable IA framework capable of supporting future digital expansion initiatives.


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