customer web journey for insurance

2019

about buzzvault

buzzvault provided accurate insurance quotes for homeowners and renters using video technology to capture a valuation of what people own.

Not only did customers pay for an accurate level of cover, it made the claims process quick and easy.

my role

UX/UI designer

challenge

As a product, first of its kind, we decided to use multiple research techniques to gather qualitative data about the user and current market landscape. Our research and insight would help guide decisions for the final design.

goal

To launch a seamless web journey, with converting customers purchasing buzzvault insurance online.
early wireframe

design process

I used a mixture of qualitative research techniques to elicit insight that guided decisions for the user flow and designs.
We were then able to use quantitative analysis to make decisions post-launch.

persona creation

Before project launch, we conducted user interviews to understand our target users. The insights from this exercise helped us understand the goals, fears, behaviours and frustrations of our target customers.
Segmenting qual data into themes

User interviews

I devised a script of questions to steer our conversation towards the participants' emotions when thinking about home insurance. After transcribing the interviews, I organised the qualitative data into themes.
high-net worth family
career driven single

Creating personas

We found both groups felt frustrated when they had to spend a lot of time sorting out their insurance. However, family groups valued "peace of mind" above everything else. This translated to two needs: having sufficient cover because they had a lot to lose; and quality customer service as they were time poor. Singles on the other hand, valued getting the "best value" for their money and "minimal effort".

competitor analysis

I researched five of diverse competitors using a SWOT analysis. This was conducted to understand how our target users currently experience the home insurance space, drawing design decisions we should consider.
Urban Jungle SWOT analysis

Key findings

Although comparison websites still dominated the market, more insurance companies were attempting to reduce the time to complete an insurance form. People want choice but do not enjoy filling out disengaging forms.

The price elastic market also indicated that cost was a key determining factor. However, more established brands charged higher premiums as trust was still important.

user flows

Using the insight from our research, I devised a question set with an endeavour to find the path of least resistance. It was clear that time to complete a form was important to the user. We segmented the questions into five sections, making the step to add items as optional.
details to quote insurance journey

prototyping and user testing

I created a prototype and presented it to stakeholders for feedback. We then tested two versions of the web journey - light and dark. Dark mode was a new trend and we wanted to test whether it increased consumer trust.
light variation
dark variation

Light variation wins

We tested six participants, all of which were homeowners and the primary decision maker for services and utilities.
Each participant tested both design variations.

Most preferred the light design, finding it more reassuring and personal.
However, some people thought buzzvault was a comparison website and were surprised they didn't see a list of options at the payment page. The light design was chosen for development and was launched soon after.
"The dark version was gloomy"

post-launch analysis

After launching the web journey, I monitored drop-off rates for each page of the funnel. This was important to recognise if customers were struggling to use any part of the website.

One of the highest cases of drop-off was the property page at 34%. I observed over 200 screen recordings of real customers and found a quarter of users struggled to find their home address using the picker. I proposed to the business for us to re-design the address picker and saw a decrease in drop-off to 19%.