Overall Impact
1. Operational Savings: Saved the enterprise thousands of dollars annually by mitigating avoidable customer service traffic.

2. Support Call Reduction: Dropped customer support call center volume by 38% through optimized self service navigation.

3. Navigation Utility: Drove a 44% increase in navigation utilization and successful task completion across core portals.

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The Challenge: Fragmented Information Architecture
Transamerica’s public platform lacked a clear audience segmentation framework for its three distinct user cohorts (Consumers, Agents, Employers). This layout friction caused users to abandon online workflows and flood the call center for basic task resolution, costing the enterprise thousands in avoidable operational overhead.

The Result:
Transamerica systematically re-routed traffic, triggering a 38% drop in support call volume, a 44% surge in proactive navigation utility, and thousands of dollars in ongoing annual operational savings.

My Scope:
Strategic problem discovery, call-center data analysis, competitive intelligence benchmarking, and low/high-fidelity evaluative user testing.

Architecting Self-Service Journeys:
To resolve the cross-audience friction, I mapped call-center paint points against industry benchmarks and engineered a clear, upstream audience selection gateway.

The Design Strategy:
1. Upstream Audience Segmentation: Replaced an unstructured, all-encompassing layout with a distinct multi-audience interaction model based on cohort-specific offerings.

2. Rigorous Concept Testing: Designed and A/B tested multiple global header concepts, proving via usability validation that a segmented architecture skyrocketed task success rates from 23% to 93%.

3. Air-Tight Engineering Handoff: Built comprehensive responsive UI specifications and edge-case behavior annotations to ensure flawless, high-velocity engineering deployment.

Measurable Operational Impact:
Post-implementation monitoring verified that optimizing the top-of-funnel information architecture transformed an expensive operational leak into an efficient self-service ecosystem:

1. Cost Mitigation: Saved the enterprise thousands of dollars annually by mitigating preventable customer service traffic.

2. Call Center Relief: Dropped call center volume by 38% within a six-month lifecycle.

3.Navigation Velocity: Drove a 44% increase in user navigation utilization and successful online task completion across core portals.
Architecting Self-Service Journeys:

Strategic Problem Discovery: Conducted stakeholder alignment workshops and analyzed support call data to map UI friction to business cost centers.

Competitive Intelligence: Performed an architectural analysis of top industry competitors to benchmark multi-audience navigation frameworks.

Evaluative User Testing: Designed and executed low-fidelity and high-fidelity usability protocols to isolate the highest performing global interaction model.
Deep Dive: Research and Iterative Validation

Part 1 - Competitive Analysis and Baseline Testing:
To validate a segmented audience approach, I ran a comparative analysis against six tier-one financial competitors. The data revealed that 83% of top-performing industry platforms successfully utilized an upstream audience selection gateway.

Following this market analysis, I initiated baseline user testing to measure task success rates across fragmented vs. segmented environments. The quantitative validation was definitive: users operating within an audience-specific architecture achieved a 93% task success rate, compared to a disastrous 23% success rate on unstructured, all-encompassing layouts.

Part - 2 A/B Interaction Testing:
I designed two distinct structural concepts to solve the segmentation challenge.

1. Concept A (Global Links): A lightweight, persistent tri-link layout embedded directly into the primary utility navigation header.
2. Concept B (Exploratory Dropdown): A descriptive, contextual dropdown menu detailing each cohort's specific offerings.

Part 3 - Executive Buy-In, Handoff, and Measurable Outcomes:
I synthesized the usability data and design concepts into a strategic presentation for executive leadership, securing rapid cross-functional sign off. I built comprehensive, responsive UI specifications and edge case behaviors within Figma, delivering clear layout tokens to the engineering team for a flawless deployment.

Post-implementation, our analytics infrastructure monitored the global navigation suite over a six month lifecycle. The redesign systematically re-routed traffic, resulting in a 38% drop in support calls and a 44% surge in proactive site navigation. By optimizing the top of funnel architecture, we successfully transformed an expensive operational leak into an efficient, self-service user journey.
Final Design and Conclusion:

After obtaining the results for our two design ideas after they were generated into high fidelity clickable prototypes, I presented our ideas and results to our stakeholders. Once approval was given, I annotated the Figma file for our development team for an easy handoff and the design was implemented.

After we added the audience selector to the website, our analytics team was able to document its usage and effectiveness for six months in which customer support calls decreased by 38% and navigation usage increased by 44%. Customer support calls are a negative measure of success and a persistent and costly hurdle. By decreasing the calls by 38%, we have been able to save the company over $100,000.