Prudential – B2B Insurance Platform

🎯

Immediate Impact (6 seconds)

The most important result you need to know

Standardized UX with Itaú/XP/BTG; fixed 15% losses due to inconsistency, +18% profitability via shared Design System.
-15%
Losses Due to Inconsistency Eliminated
+18%
Profitability Increase
10
Personas Created
11 days
Average Issuance Cycle
⏱️

Conflict and Decision (60 seconds)

The problem, options considered, and strategic choice

⚠️ Conflict

Prudential faced fragmented and inconsistent journeys in selling individual insurance through bank partners (Itaú, XP, BTG). The lack of UX standardization was causing:

  • 15% of identified losses due to inconsistencies in sales flows
  • Different experiences for the same product across different partners
  • Low scalability - each new partner required custom development
  • Difficulty in measuring and optimizing conversion in a unified way

🤔 Options Considered

Option A: Deep customization per bank partner

❌ Discarded: Very low scalability, unsustainable maintenance cost, impossible to standardize metrics

Option B: Single generic template without personalization

❌ Discarded: Partner resistance, loss of brand identity, low expected adoption

Option C (Chosen): Shared and flexible Design System with modular components

✅ Selected: Balance between consistency and flexibility, scalable, reusable components

⚖️ Conscious Trade-off

Sacrificed: Extreme customizations and deep personalization that some partners wanted for their specific experiences.

To gain: Unified and consistent cross-partner experience, scalability for new partners, and ability to measure/optimize centrally.

Reasoning: In a B2B ecosystem with multiple partners, consistency is trust. End customers gain confidence when the experience is predictable, regardless of the entry channel.

📊

Evidence and Results (6 minutes)

Data, methodology and learnings

📈 Success Proxy

Initial mapping identified 15% of losses attributed to inconsistencies in journeys between partners. After implementing the shared Design System:

  • Reduction to <2% of losses due to UX friction
  • Onboarding time for new partners dropped from 4 months to 6 weeks
  • Average policy issuance cycle reduced to 11 days

🛡️ Risk Mitigation

To ensure Design System adoption by all stakeholders:

  • Code-Ready Guidelines: Complete technical documentation with components ready for implementation
  • Collaborative Workshops: 64 participants (designers, devs, product owners) in prioritization sessions
  • Pilot with Itaú: Initial validation with main partner before complete rollout
  • Controlled Flexibility: Customizable design tokens (colors, logos) while maintaining fixed structure

✅ Measurable Results

+18%
Profitability Increase
10
Complete Personas Created
64
Workshop Participants
11 days
Average Issuance Cycle

Deliverables:

  • Complete sales journey mapping for 10 personas
  • Design System with 45+ reusable components
  • Prototypes tested with consultants and brokers
  • Code-ready technical documentation for developers

⚠️ What Got Worse

During Design System implementation:

  • Learning curve for devs: Initial onboarding +2 weeks for technical teams to learn the system
  • Initial resistance: Some partners wanted more customization than the system allowed
  • Necessary refactoring: Legacy code from 2 partners needed to be rewritten (cost not initially planned)

Learning: Investment in documentation and upfront training would have reduced friction in technical onboarding.

🔮 Would Do Differently Today

With current GenAI technologies, I would implement:

  • Automatic variants per partner: AI to generate component variations respecting each bank's brand guidelines
  • Intelligent documentation generation: Auto-update of guidelines based on code changes
  • Automated consistency testing: AI to validate that implementations follow the Design System
  • Dynamic personalization: Adapt journey based on end customer profile (age, risk, desired product)

Estimated impact: 50% reduction in onboarding time for new partners + 10-15% increase in conversion via personalization.