Anthony Nzouke
Designer, Creator and Pixel artist
Click to see my Bio
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TLDR: In the bustling world of insurtech, where numbers danced and policies multiplied, the Insurance product managers at wefox found themselves drowning in a sea of data. Their days were a blur of missed opportunities and overlooked details. Enter the Craftsman – not a person, but an AI named Copilot, born from the digital forge of wefox's innovation.
Team Setup
In this project, i collaborated with quite an interesting bunch of people.
My role
Timeline
My Team
Tech Stack
Some of the tools I used in this project
What was the Problem we faced?
Distribution managers who use our software at wefox were overwhelmed with the challenge of efficiently managing customer data, automating tasks, and providing timely, personalised service. They needed a solution to streamline workflows, enhance decision-making, and improve customer engagement. So we assembled a Multi-disciplinary team and got to work.
How did we seek to learn about this problem and creatively solve it?
Our Process was straight-forward:
1. User Interviews: We interviewed our insurance distribution managers to identify their main challenges.
2. AI Solution: Realizing AI could simplify their tasks, we brainstormed with our Paris-based AI team to develop key features:
3. They offered a trained model which enabled us to design the following features for our users:
- AI-powered insurance data analysis
- Automated task prioritization and reminders
- Proactive customer insights and recommendations
- Enhanced customer claim experience
- Fraud detection through ML algorithms
- Deep customer profile analysis for upselling
- Predictive analytics
Outcomes
Visual Design:
- Minimalist interface
- Reused patterns from our internal design system to rapidly prototype
- Interactive elements for engagement
2. UX Implementation :
- Clear, analytical tone
- Data-driven user interface
- Step-by-step guidance through complex tasks
3. User Testing : Refined the interface based on feedback for clarity and efficiency.
4. Launch and Optimization: Rolled out Copilot to product managers with ongoing improvements.
After multiple design iterations and refinements, The team decided on the following screens which were then handed off to developers and tested after implementation.
Key Features
Key Features:
Comprehensive customer data analysis
Predictive modeling for customer interests and needs
Automated policy management and reminders
Clear visualization of complex insurance concepts
Metrics and Learnings
40% reduction in time spent on data analysis
35% increase in proactive customer engagements
30% improvement in policy renewal rates
25% boost in cross-selling and upselling opportunities
95% user satisfaction rate among product managers
Conclusion: Wefox Copilot, with its Craftsman personality and data-driven approach, transformed how insurance product managers work. By providing clear, analytical insights and automating key tasks, Copilot addressed the core challenges of efficiency and personalization in insurance management, ultimately leading to improved customer service and business outcomes for our organization
