Product Design
Quick Quote Tool & Risk Visualizations
Company
Farmers Business Network (FBN)
Categories
Data Visualization
Product Design
End-to-End Flow
Tools
Figma
Live Interview
Role
End-to-End Product Design, including user research, design workshops, low and high fidelity designsÂ
Results
17 min less time to create quote
18% increase in opportunity for quote creation
Problem Statement
How might we support Top of Funnel Rainfall Protection quoting experiences for farmland that quickly attract prospective customers?Â
Principles
Progressive Disclosure
Given a three-minute time constraint, when agents live-quote policies, the experience must prioritize essential information at the right time in order to reduce both system and user cognitive load.Â
Flexible & Dynamic
Given that customers want to understand cost-benefit scenarios, when they evaluate quote options, the experience must prioritize quick display of unique views of data and probable outcomes.
Trust & Explainability
Given that quotes are automatically derived from a data science model, when quote results are presented, the experience must explain the model rationale in a human-centered way that helps customers make informed decisions.
Approach
Understand
Research Insurance Agent quoting needs and preferences in live, moderated research sessions.
Define
Use learnings from the research sessions to define problem statements.
Design + Iterate
Use problem statements to guide co-design workshop, three draft, end-to-end quote generator flows, one high fidelity flow and multiple iterations to meet stakeholder needs.
User Feedback + Iterate
Meet regularly with Insurance Agents to observe their use of prototypes and request their input on the ease of use and clarity of the experience. Â
Figma Prototype Recordings
Being able to demonstrate the steps and interactions specific to this complex flow was essential to help Insurance Agents understand how well it would perform in an in-person, real-time quoting experience.
Create a New Quote
Auto-populating an initial quote data with just two clicks was a crucial time-saver for agents. This design carefully considered the minimum amount of information needed to produce a quote and injected two input fields with personalized customer data in order to surface results quickly and engage customers.
Review Quote Analysis
Ability to interact with rich data is key in assessing the value of a farmland insurance quote.
The Year-By-Year Table shown below enables agents and customers to view historical data informing the quote and to assess how they might like to take risks in their coverage by viewing highlighted Indemnity payments and highlighted risks based on historical rainfall shortages.
The Indemnity Probability Histogram visualizes the likelihood of a premium being paid from the suggested policy. Rather than viewing complicated premium tables, this chart clearly shows the value of the policy at-a-glance.
Quote with the Map
Many agents preferred to visualize the land being covered by the quote, which inspired the map selection tool to determine the coverage area.
Quote Creation & Results Views
