Designed a provider comparison tool to reduce decision-making time and increase appointment bookings

42%

users who viewed 3+ providers used the comparison tool

23%

higher appointment booking rate

35%

reduction in time from search → appointment booking

PRIMARY GOAL

How might we help patients compare providers on the factors that drive their decision so they can book appointments faster and with more confidence?

DURATION

4 Weeks

MY ROLE

Led research, design, and iteration.

Partnered with senior designers, design system team, and engineering.

TEAM

Matthew Malia - Senior Product Manager

Sarah Driscol - Product Design Manager

Thais Toma - Research partner

CHALLENGE

Patients often struggle to find and compare healthcare providers due to fragmented information and the overwhelming number of options available. This results in poor decision-making, frustration, and delays in receiving care.

Decision fatigue

too many options, no clear way to compare

Decision fatigue

too many options, no clear way to compare

Prolonged sessions

average 8+ minutes from search to booking

Prolonged sessions

average 8+ minutes from search to booking

Abandoned flows

users left without booking when overwhelmed

Abandoned flows

users left without booking when overwhelmed

BRAINSTORMING

Conducted a collaborative session to rank the decision making factors for a user based on existing research and human mental model

The upgrade blocker wasn't price. It was invisible value.

COMPETITIVE ANALYSIS

I worked with the PM to map opportunities against effort vs. impact based on pod capacity

SOLUTION

I used Claude to generate divergent layout directions for a personalised feature usage report card that makes the value gap impossible to ignore.

From a list of ideas this proved to be high impact low effort idea

DIRECTION 1

Selected Category View

Familiar pattern since users already understood provider cards from search results

Minimal layout changes from existing UI so low engineering lift

Users could only view one category and one card at a time

Sequential comparison requires user to scroll up and down to see older cards

DIRECTION 1

Selected Category View

Familiar pattern since users already understood provider cards from search results

Minimal layout changes from existing UI so low engineering lift

Users could only view one category and one card at a time

Sequential comparison requires user to scroll up and down to see older cards

DIRECTION 1

Selected Category View

Familiar pattern since users already understood provider cards from search results

Minimal layout changes from existing UI so low engineering lift

Users could only view one category and one card at a time

Sequential comparison requires user to scroll up and down to see older cards

DIRECTION 1

Selected Category View

Familiar pattern since users already understood provider cards from search results

Minimal layout changes from existing UI so low engineering lift

Users could only view one category and one card at a time

Sequential comparison requires user to scroll up and down to see older cards

CHALLENGES

Due to limited engineering resources, instead of building the full in-product system, I utilized Pendo, Braze and Sigma to solve this at low cost.

No existing table component in the design system

Pulling feature usage data and identifying who to target

solution

Used Sigma to query creator feature usage data — identifying which trial creators had low feature activation and which features were sitting unused. This became the targeting logic for the experiment.

Used Sigma to query creator feature usage data — identifying which trial creators had low feature activation and which features were sitting unused. This became the targeting logic for the experiment.

No existing table component in the design system

Pulling feature usage data and identifying who to target

solution

Used Sigma to query creator feature usage data — identifying which trial creators had low feature activation and which features were sitting unused. This became the targeting logic for the experiment.

Used Sigma to query creator feature usage data — identifying which trial creators had low feature activation and which features were sitting unused. This became the targeting logic for the experiment.

Thinking mobile-first for a complex data table

Triggering the request in-app

solution

Configured an in-app guide in Pendo to show trial creators on days 7–10: "Request your report card." No engineering required — targeted, timed, and launched directly in Pendo.

Configured an in-app guide in Pendo to show trial creators on days 7–10: "Request your report card." No engineering required — targeted, timed, and launched directly in Pendo.

Thinking mobile-first for a complex data table

Triggering the request in-app

solution

Configured an in-app guide in Pendo to show trial creators on days 7–10: "Request your report card." No engineering required — targeted, timed, and launched directly in Pendo.

Configured an in-app guide in Pendo to show trial creators on days 7–10: "Request your report card." No engineering required — targeted, timed, and launched directly in Pendo.

Thinking mobile-first for a complex data table

Triggering the request in-app

solution

Configured an in-app guide in Pendo to show trial creators on days 7–10: "Request your report card." No engineering required — targeted, timed, and launched directly in Pendo.

Configured an in-app guide in Pendo to show trial creators on days 7–10: "Request your report card." No engineering required — targeted, timed, and launched directly in Pendo.

Balancing objectivity across multiple stakeholders

Delivering the personalised widget report

solution

Supported senior developers in building responsive websites and UI components across projects.

Collaborated iwth marketing team to build the designed widget as an email template in Braze with dynamic variables for each creator's feature data with a direct action link on every gap and a clear upgrade CTA.

Balancing objectivity across multiple stakeholders

Delivering the personalised widget report

solution

Supported senior developers in building responsive websites and UI components across projects.

Collaborated iwth marketing team to build the designed widget as an email template in Braze with dynamic variables for each creator's feature data with a direct action link on every gap and a clear upgrade CTA.

CHALLENGES

Some challenges and learnings that helped shape my understanding of using AI and working within constraints

Challenge 1

Running out of claude usage helped be uncover the trick behind saving tokens

Challenge 1

Running out of claude usage helped be uncover the trick behind saving tokens

Challenge 2

No engineering resources pushed me to think beyond figma and utilize no code tools like Pendo and Braze

Challenge 2

No engineering resources pushed me to think beyond figma and utilize no code tools like Pendo and Braze