Boosting Conversion
Through Service-Design

Informed Onboarding

Boosting Acquisition
Through Service-Design Informed Onboarding

0>1 onboarding design to reduce unnecessary
manual labor and reduce time to sign up

Redesigned onboarding to reduce
manual labor and reduce acquisition time

Boosting Conversion
Through Service-Design

Informed Onboarding

0>1 onboarding design to reduce unnecessary
manual labor and reduce time to sign up

Boosting Conversion
Through Service-Design

Informed Onboarding

0>1 onboarding design to reduce unnecessary
manual labor and reduce time to sign up

My Responsibilities

Field Research

UX/UI Design

User Testing

Team

Product Manager

Dev Team

My Responsibilities

Field Research

UX/UI Design

User Testing

Team

Product Manager

Dev Team

My Responsibilities

Field Research

UX/UI Design

User Testing

Team

Product Manager

Dev Team

THE CHALLENGE

To Optimize a Service

To Optimize a Service

The current onboarding was simple…at first glance. However, following the initial sign up on the website, users waited up to 3 weeks to have their first session with a Dietician. My task was to create a scalable, research-based onboarding experience that would allow the following: 

  1. Significantly reduce time to first session

  2. Build an accurate, scalable Dietician-Client matching system

  3. Make it client-led to reduce customer service labor needs

THE CHALLENGE

To Optimize a Service

The current onboarding was simple…at first glance. However, following the initial sign up on the website, users waited up to 3 weeks to have their first session with a Dietician. My task was to create a scalable, research-based onboarding experience that would allow the following: 

  1. Significantly reduce time to first session

  2. Build an accurate, scalable Dietician-Client matching system

  3. Make it client-led to reduce customer service labor needs

THE CHALLENGE

To Optimize a Service

The current onboarding was simple…at first glance. However, following the initial sign up on the website, users waited up to 3 weeks to have their first session with a Dietician. My task was to create a scalable, research-based onboarding experience that would allow the following: 

  1. Significantly reduce time to first session

  2. Build an accurate, scalable Dietician-Client matching system

  3. Make it client-led to reduce customer service labor needs

BEFORE

AFTER

AFTER

KICKING OFF

Planning A Lasting System

I started by conducting stakeholders interviews and quickly realized that each team had different priorities and visions for the onboarding. To move forward, I wanted to facilitate alignment from stakeholders on cross-departmental touch points that were contributing to onboarding delays.

Using data from internal interviews and user shadowing, I drafted a service map, which captured the onboarding journey from a birds-eye view, and allowed us to discuss our target zones in the service.

I validated the hypothesis that a revised onboarding flow had the potential to optimize employee workflows and the customer experience significantly. The team also aligned on what we wanted to prioritize cross-functionally. We were not simply designing screens; we were building a lasting system.

UNDERSTANDING USERS

Strategic User Research

Due to limited time and research resources, I had to be strategic with user research. Rather than initiating a new project, I combined existing website analytics with my own qualitative insights from the kick-off interviews. On the analytics end, I started by tracking device types, access points, and browsing patterns.

From shadowing 12 onboarding calls, I learned that the same questions came up consistently across all calls (e.g., insurance coverage). I collected the most frequently asked questions to formulate the content and flow of the onboarding. By optimizing for what users found most important, we were creating a more resistance-free onboarding process.

MARKET UNDERSTANDING

Innovation that works

With the greater range of Telemedicine services available from the last few years, I wanted to look at how other companies were approaching their onboarding. During this phase, rather than finding patterns, I identified a few things that I wanted to avoid in our design.

Virta

Immediately asked users for email, name, and agree to terms of service, which is a potential wall

Immediately asked users for email, name, and agree to terms of service, which is a potential wall

Nourish

Following the survey, they required users to complete their sign up through initiating a call

Following the survey, they required users to complete their sign up through initiating a call

Weight Watchers

Too many informational slides that distracts from the main task at hand

Too many informational slides that distracts from the main task at hand

Teladoc

The brand voice throughout the survey felt clinical and unfriendly.

The brand voice throughout the survey felt clinical and unfriendly.

DESIGN PRINCIPLES

Leading with empathy

Health and nutrition are incredibly personal aspect of a person's life. Through user research, we validated that it is pertinent to the customer experience to find care that attends to not only their medical but psychological needs. I wanted to embed that philosophy into the design.

Humanized

How do we preserve the human element in the onboarding without the Discovery Call?

Informative

How might we empower users so that they feel confident going to the next step?

Simple

How might we de-complicate the intake paperwork?

Empathetic

How might we address negative emotions that users may have?

Fast

How might we decrease the current wait times?

Logical

How might we decrease redundancy so that users do not have to repeat themselves?

INTRODUCING

Newly imagined, user-led, Systems-based onboarding

Newly imagined,

user-led, Systems-based onboarding

SOLUTION 1
Personalized Matching

According to historical data, the best predictor for user retention was satisfaction with their dietician. I designed a matching flow that would pair new clients based on their medical needs and preferred treatment style. Using an existing tagging system, we created a V1 of the matching algorithm.

SOLUTION 2
Instant Insurance Verification

The insurance verification process was manually done by a team. Since there was no centralized database, it was difficult to verify users who had insurance that covered the service. In the new onboarding, users from the top 5 States would be able to get their insurance verified right away, decreasing the time from upwards of three weeks to zero.

SOLUTION 3
Closing The Loop: Sign Up

With matching and insurance verification completed instantly, we could have users complete their onboarding directly.

Always open to thoughtful collaborations.

© 2025 Serena. All rights reserved.

Always open to thoughtful collaborations.

© 2025 Serena. All rights reserved.