San Francisco 12:06
Package Select

Context

Ethos is a modern life insurance company that prides itself on offering a fully online experience with no medical exams or pushy salespeople. A key inflection point of the Ethos user journey is when a user must select a life insurance package to initiate their application. In order to understand how much an Ethos life insurance policy would cost, prospective customers are asked to fill out a short questionnaire. Based off of their answers, potential packages are presented with variations in term length, coverage, and monthly premiums.
Converting at 37%, the package select page was by far the largest drop-off point in our funnel. Therefore, our goal for this project was to make a step function improvement in conversion and ultimately grow application submissions. In order to effectively address the core issues, we decided to investigate the low conversion numbers from a holistic view of the purchasing journey.

Research

In collaboration with GV Research, our design team conducted a series of remote interview sessions with people who represented our core demographics. We were curious about what circumstances led to their need to shop for life insurance, and if they had purchased life insurance already, what their experiences were like. We walked participants through competitor product pages, as well as our own, to understand how the shopping experience for each matched the participants’ expectations. We learned that:

Exploration

Using our learnings as a starting point, the design team came together to brainstorm concepts that could address the main user problems:
The brainstorm generated a variety of ideas, ranging from a sample policy from a fictional family to the ability to share quotes with others. With the goal of increasing conversion in mind, I narrowed down the list to the ideas that I felt best suited the package select page. From there, I worked with stakeholders to understand which concepts would create the most impact and tell a cohesive narrative. After determining the essence of the design, I iterated on each component to create a final recommendation that would satisfy user needs, functional needs, and business needs.

Outcome

We ran an A/B test comparing the conversion rate against the original design by measuring how many users clicked through to start a new application. In order to account for any seasonality that the business might experience, we ran the test for about 3 months. The team was delighted to see that the new package select page was performing 36% better than the original.