Data & Insurance

Data & Insurance

Utilising consumer data to create a more personalised experience for agents and consumers

Utilising consumer data to create a more personalised experience for agents and consumers

UX/UI Design

Research

Design Sprint

oisinmckeever.com

Overview

001

Overview

001

Overview

001

The supplemental health insurance company faced challenges in leveraging its existing data to drive sales and enhance customer experiences. Despite having a wealth of data, the company struggled to extract actionable insights and utilise data effectively.


This limited their ability to personalise offerings, improve customer satisfaction, and drive revenue growth.


To address these challenges, we conducted a six-week design sprint focused on exploring opportunities to utilise data to drive sales and improve the overall customer experience.

Platform

Platform

Platform

Web / Mobile

Web / Mobile

Web / Mobile

Project Duration

Project Duration

Project Duration

6 Weeks

6 Weeks

6 Weeks

Tech Stack

Tech Stack

Tech Stack

Role

Role

For this design sprint I was the sole designer, it was my responsibility to connect with senior stakeholders, sales agents and customers to understand how we can use data to enhance experiences and drive sales.

Team Structure

Team Structure

UX Designer,

UX Designer,

Product Manager,

Product Manager,

Data Scientist,

Data Scientist,

Various Engineers

Research Methods

Research Methods

Interviewing,

Interviewing,

Workshopping

Workshopping

The Challenge

002

01

No "Self-Service" for group insurance customers. Forced to deal with sales agents

02

Policies often use complex language and can be difficult to understand if you need it / what it covers.

03

Many agents were leaving around the 1 year mark, citing complexities with selling to customers - impacting revenue

Research

003

We interviewed sales agents and customers to understand the experience buying insurance policies, and also the experience of selling policies. This allowed us to map the journeys and identify any pain points which led to us brainstorming ideas for possible solutions.

Conducted user interviews with 4 Sales agents and 6 customers to understand the buying and selling experience with the company


We conducted multiple ideation workshops and working sessions with the wider team and senior business stakeholders. This allowed us to pitch ideas and get feedback quickly


Customer Insights:

  • No self-service online for insurance through work cover forcing users to go via agents

  • Policies are complex, difficult to know what they need

  • Not sure if they'd use the policy, "Why would I pay for something I won't need?"

Agent Insights:

  • Difficult to sell additional policies, customers apprehensive that they'll need them

  • Policies are complex and can be confusing for customers

  • Feel as if they're going in blind to sales calls, not sure what to recommend / upsell

Key Features

004

01 Customer Solution

We designed a self-service platform for group customers which leveraged data to offer personalised insurance policies for the customer. By focusing on "recommended for you" we included stats to help reassure the customer that this policy would be beneficial as others similar to you have benefited from the policy type.

By offering them the ability to self-serve (with the option to call an agent) we provided choice for those who were dissuaded by agent contact.

oisinmckeever.com

oisinmckeever.com

oisinmckeever.com

02 Agent Solution

For the agent experience, we designed a "cheat sheet" utility app that provided the agent with customer insights to prepare for their sales call. By recommending easier sell policies and communicating harder sells, the agent would be armed with useful insights to help upsell policies the customer will be more likely to go for.

02 Agent Solution

For the agent experience, we designed a "cheat sheet" utility app that provided the agent with customer insights to prepare for their sales call. By recommending easier sell policies and communicating harder sells, the agent would be armed with useful insights to help upsell policies the customer will be more likely to go for.