Insurance Products
Through the kick-off activities, our initial user testing, research & priorframing – we had a pretty good grasp at what a day in the life of an insurance agent looks like and what they needed out of a platform that would replace their time tested workflows. The average age of an insurance agent in the US is 59 after all (McKinsey, 2016).
Quote Flow
First and foremost, we tasked ourselves with figuring out ways to simplify the labyrinth of a platform that B&W was working with. The current flow was confusing agents. They didn’t really know what to expect going into it and therefore weren't really sure of the type of quote available on the platform. I explored different flow options and decided on one similar to the existing one while addressing the main issues: flow, messaging & efficiency.
I was responsible for 2 of the 3 main products that B&W planned to launch with – Personal Article Floater & Cyber Liability. Basically insurance for your unconventional physical assets that a regular homeowners insurance wouldn't cover and for protecting your businesses from cyber security threats like hacking and data leaks.
An agent would typically talk with their clients to figure out what kind of insurance they're likely to find useful. They would then recommend one that fits their needs and if the client gives them the green light, that's the point when their actual work began. They would then gather information from the client to understand if they're eligible for it (basically making sure they engage in insurable business), then note down the clients personal details followed by details about the risk (i.e. assets/digital records etc. they're looking to get insured). This is the part of the process that's extremely manual and somewhat prone to human error on account of the sheer number of data points. After all this is done, the agent would get in touch with a broker like B&W and submit this information to an underwriter to get a quote. If the client found the quote acceptable, they'd proceed with issuing the policy. But, if at this point, the client found the quote too high, or had some other changes in their risk, the whole process would need to be repeated. It was rife with time (and hence, revenue) consuming inefficiencies and potential for error.
Keeping in mind the circumstances under which an insurance agent would most likely be using this platform (i.e. while on the phone with a potential lead), and after much exploration – we arrived at a visually sparse step-by-step flow, with a focus on clear call to actions, contextual explainers/warnings wherever applicable and ease of navigation between sections for rapid data changes.
After a few rounds of client feedback on the wireframes, and numerous collaborative iterations of some of the common parts of the flows across these insurance products we had some approved end-to-end flows.