Azibo
Streamlining Property Insurance for Landlords
3.5×
Growth in premiums (2 quarters)
$1.5M
Premiums sold (3 fiscal quarters)
66%
Reduction in customer workload
33%
Fewer screens via simplification
Overview
At Azibo, we launched a new revenue stream by embedding property insurance directly into the platform.
The challenge was to simplify a traditionally complex underwriting process into a fast, mobile-friendly experience—without compromising the data requirements of insurance carriers.
The Problem
Purchasing property insurance is slow, manual, and fragmented.
- →Insurance carriers require 100+ data points for underwriting
- →Landlords often lack immediate access to this information
- →Manual entry leads to errors, rework, and drop-off
- →Existing workflows are not designed for speed or usability
Key Insight
Reducing friction wasn't just about better UX—it required rethinking how data is gathered and validated.
We found that:
- →Users prioritized price and speed, not process transparency
- →Most users did not fully understand their property or coverage details
- →Manual input was the primary source of failure
- →Carrier pricing competitiveness would impact adoption regardless of UX
Approach
Simplify Data Collection
- ·Reduced required user input through automated property data lookup
- ·Transformed a 100+ field process into a sub-5-minute experience
Progressive Validation
- ·Introduced real-time error checking to prevent downstream issues
- ·Reduced incomplete submissions and support overhead
Multi-Quote Experience
- ·Designed a system for comparing multiple insurance providers
- ·Delivered quotes in real-time or next-day depending on carrier
Iterative Testing + Collaboration
- ·Conducted moderated usability testing using Figma prototypes
- ·Continuously refined flows based on behavioral insights
- ·Centralized collaboration across Product, Design, and Engineering
System Thinking
This product connected multiple systems that traditionally operate independently:
By orchestrating these layers, we reduced friction while still satisfying carrier constraints.
Prototype Walkthrough
Results
3.5×
growth in premiums sold over two quarters
$1.5M
in premiums sold within three fiscal quarters
66%
reduction in customer workload
33%
fewer screens through workflow simplification
Impact
What was previously a high-friction, manual process became a streamlined experience that:
- →Reduced user effort dramatically
- →Increased conversion and revenue
- →Enabled a scalable insurance offering within the platform
Key Takeaways
- →Automation must balance efficiency with user trust
- →Real-time validation improves completion and confidence
- →Data quality is a product problem, not just a backend problem
- →Seamless integration across systems is critical for adoption
Architecture
Wireframes
Hi-fidelity designs
Models