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Maximizing Benefits
A User Research & Onboarding Process Redesign

Overview

In 2022, I was part of the redesign process for a major health insurance plan's onboarding process.

Client:

A Major Health Plan in California

 

Timeline:

6 months

Roles:

User Research & Design 

Tools:

Figma, UserTesting (formerly UserZoom), Microsoft Teams

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Challenge:

This health plan's HMO plan was losing $127 per member per month on members who weren't utilizing the plan (members with 0 claims), versus $88 PMPM on healthy plan members. Retention was also an issue. Members would enroll, but switch plans after the first year. I was tasked with finding out why enrolled Trio members were not using their plan, what they were unsatisfied with, and what strategic improvements could be made to increase member retention.

Annual Losses:

$127 PMPM 

Per Member Per Month

6 point NPS drop

Net Promotor Score as it relates to member satisfaction

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Solution:

The plan strategy was developed during 2022 to address significant financial losses and improve the quality of care and the member experience by developing a new guided digital onboarding process. This was aimed at ensuring the appropriate plan selection and guiding members through their plan benefits at the start of enrollment.

 

I designed and facilitated surveys, interviews, and usability studies of our member population to understand plan onboarding and benefit pain points. I then collaborated with the health plan's Product Strategy team, and Covered CA Portfolio Team to create a product definition that outlined the necessary capabilities for a new digital onboarding process and virtual health risk assessment. Additionally, I supported my manager in making digital onboarding recommendations and design modification mockups.

User Research

Interviews:

To gain perspective on the current state, I conducted 10 45-mintute interviews with both the health plan employees and non health plan employees that reflected our member population. The interviews provided us with qualitative data on why members selected their plans, how they utilized their plans, their relationships with their primary care providers, their onboarding experience, and feelings around plan renewal.

5 IFP Interviewees

5 Existing Plan Members

Surveys:

I also conducted 8 surveys of California residents enrolled in health plans that focused on:

  • Overall member pain points

  • Their plan selection criteria

  • Their onboarding experience

  • Their primary care provider selection criteria

  • Their experience selecting a primary care provider

  • Their experience with the providers in their network

  • Whether or not they would reenroll, and why

  • Their ideal benefits

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Example interview conducted through UserTesting

Study Output:​

We found that many study participants struggled with the HMO onboarding process, and the selection of a trusted primary care provider.

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Personas:​

In collaboration with the product strategy team and the health solutions team personas were used to make human-centered recommendations for plan enhancements that would drive the most benefit. 

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Despite choosing the plan, members do not always know what they've signed up for.

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Finding a trusted provider and building that relationship is where the difficulty lies.

Design

Initial View

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Illustrative: A simple popup screen with the simple capability of linking the user to their main member dashboard

First Iteration

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Initial process map designed from user testing of existing onboarding process

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First design mockups of popup window used in usability testing

Usability Testing:

Usability testing of onboarding mock-ups performed better than existing onboarding designs overall (however results were not statistically significant due to testing platform limitations).

 

The redesigned onboarding full-screen lightbox had a 0% exit rate compared to the original 20% exit rate, and survey skips were decreased by 50%.

The Onboarding Process Evolution: ​

Due to confidentiality of designs that have not been launched yet, I have provided examples of our design mock-ups. The difference between existing digital onboarding, and new design mockups include:

  • Full-screen lightbox instead of partial window takeover for popup onboarding window

  • Improved and simplified messaging

  • Direct and simple calls to action

  • Adding a benefits needs survey to provide appropriate care management recommendations

  • Adding a post-survey screen to thank participants for completing the survey

  • Improved messaging around PCP auto-assignment

  • Improved call to action to schedule first PCP assignment with information about the associated $0 co-pay

Final Iteration

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Prototyping iteration process done in Figma

Design System:

Primary Colors:

Accent Colors:

Typography:

Heading 1

Inter | Medium | 32px

Heading 1

Inter | Bold | 32px

Heading 2

Heading 2

Inter | Medium | 24px

Inter | Bold | 24px

Paragraph 1

Paragraph 1

Inter | Bold | 24px

Inter | Medium | 24px

Paragraph 2

Paragraph 2

Inter | Medium | 22px

Inter | Bold | 22px

Link

Link

Inter | Medium | 20px

Inter | Bold | 20px

Iconography:

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Final Mockup

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Final onboarding process mockup of popup windows with simplified benefit language and clear calls to action

Results

Results: 

We aligned with the health plan's Covered CA Team on the recommended onboarding flow and associated virtual health risk assessment. Recommendations were approved by stakeholders, and awaiting prioritization and implementation.  Projected cost savings are between $5-10M in by 2024 from risk adjustment and improved disease management. 

Reflection: 

My survey research was limited to the members and member size available through the Userzoom platform, so that data is not completely representative of the Trio plan's member demographics. Next time I would place more strict filters and screening criteria to ensure we are get perspectives that are representative of the member population. This project has taught me how difficult it can be to gain diverse perspectives through a limited research budget. I also realized how valuable quantitative data is to understanding member or customer motivations. Interviews allowed me to dig deeper into the things that influenced their purchasing behavior. 

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