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Generating simplified, evidence-based health research insights for health content creators
Clarifying brand mission and building a "0 to 1" product that empowers science communicators and streamlines their creation process with reliable and accessible results
web design | non-profit | healthtech | AI

Role

UX Design Lead

Responsibilities

UX/UI Design, User Research, Content Design, AI Design, Agile Methodologies

Team

Brinleigh Murphy-Reuter (CEO & Founder)
Pablo M. Flores, PhD (Product Advisor, Founder)
Rajeshwari Subramanian (Growth & Operations, Founder)
Project Management team
Product Strategy team
UX Research team
UX Design team
Mobcoder (outsourced developers)

Timeline

Nov 2024 - March 2025

Impact

Achieving a 75% task-completion rate with content creators and an overall 85% stakeholder satisfaction rate.

OVERVIEW

Background

Science To People, a non-profit startup, strives to make complex scientific knowledge comprehensible and accessible with their AI platform VeriSci.

In a society where many turn to social media for knowledge and insight, especially with recent events like the COVID-19 pandemic, netizens may be misled with false information about health related topics.

Meta ... would end its use of fact-checkers and launch a user-based 'community notes' system to flag inaccurate or misleading posts. The move has raised concerns among experts ... that misinformation about science and health could increase on Meta’s platforms.

“Meta’s fact-checking changes raise concerns about spread of science misinformation,”
Harvard T.H. Chan School of Public Health, 2025

With investor support, Science To People sought to initiate designs for VeriSci to create a space for AI fact-checking and content creation tools.
I led the design of this project phase and worked directly with clients, project managers, product strategists, and UX researchers, resulting in a 75% task-completion rate with content creators and a 85% stakeholder satisfaction rate, ultimately securing more funding for Science To People.​

Problem

PROBLEM

Health and wellness content creators face challenges in research efficiency, misinformation, audience engagement, and workflow integration, making it difficult to produce accurate, up-to-date content.

Solution

An AI-powered content creation tool to help health and wellness content creators generate engaging, factual content effortlessly by streamlining research, ensuring accuracy, and adapting to their personal tone of voice.

RESEARCH

MVP2 Audit & Content Inventory

Many great features, many more areas to improve on.

We first conducted an audit of the current version of VeriSci (aka MVP2) to assess its usability and understand what users experience with a designer’s perspective. Here's what we learned:

WHAT WE APPRECIATED

Consistent & clean layout, clear differentiation between UI elements, source inclusion for research, and logical navigation on the home page were some of the strengths that we noticed during the audit.

Simultaneously, we conducted a content inventory to understand the depth and breadth of the content in the very limited time we had. With more time, we'd conduct a content audit to assess the quality of the content and how to improve it. Our main takeaway was:

The navigational structure was very confusing due to unclear pathways, duplicated navigational systems, and uncertain labelling and terminology for CTAs.

User Testing & Interviews

How do users work and what do they like?

I explored the needs, preferences, and pain points of 3 different content creators and researchers. I then gathered key findings and results to understand their thoughts and frustrations:

Simplified Workflow to find specific information

Creator tone and voice are crucial to engage with audiences

Reliable sources that are up-to-date is essential, especially with health topics

Comparative Analysis

Companies provide similar products and services, but none cater towards health content creators.

We then conducted a comparative analysis to examine a broad range of products and services from various companies, including those that are not direct competitors.  

We looked into
9 AI platforms and evaluated them based on a few criteria (i.e. target users & platforms, onboarding, user flow & navigation, unique features, and customization). Out of the 9, we narrowed down to 3 to focus on:

Google NotebookLM:
This
layout is intuitive, clear, and visually engaging without traversing between pages or tabs, which are traits that could benefit users to streamline their research efforts in a highly organized manner.

Phind:
This AI search engine provides both text and images in the same query with mermaid diagrams (editable JavaScript-based graphics), which is
very helpful for those who are visual learners and want to track their searches.

Eleven Labs:

This AI tool can generate audio files like podcasts from input text and has a “Try me” section on landing page with various user customization. Allowing various controls for personalization with audio or video files would generate better user connection and engagement.

DESIGN DIRECTION
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Product Thinking

Merging user insights with business goals to drive our featured designs.

To ensure that we understand and address user needs, we formulated problem statements, HMW statements, and hypotheses with assumptions based on user testing results. I then utilized a MoSCoW matrix to prioritize our impact and efforts with product strategy and project management teams.

From that, we produced product tenets that were critical for the product launch, which 
infused and balanced the user insights we learned with more business aligned goals.

Saving time:
Streamlining research & content creation processes by pulling recent, relevant information for content generation.

Engaging the audience:

Crafting compelling, platform-ready content with tailored AI-generated content to match tone, style, and audience.

Building trust:
Ensuring accuracy and credibility with content links connected to integrated, vetted, and verified sources from VeriSci.

Easy to digest:
Presenting complex topics in simpler terms by having AI generate and validate claims with multiple sources.

VeriSci Logo.png

User Flow & Site Maps

Piecing the puzzle for visualization.

With the core tenets defined, I translated them into user flow and site maps to organize pages in a logical flow, making key information accessible and digestible. We also decided to start exploring some initial ideas of how the user onboarding process could look like with onboarding user flow maps as well.

VeriSci Logo.png

User Persona

Welcome, Dinah Stevens.

To make our research findings more tangible, I created a user persona for a holistic view of the target audience that will keep our design decisions aligned with user needs. Here's Dinah, a content creator who is passionate about scientific integrity and promotes science communication through educational content.

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Design Ideation

Exploring 2 different options.

With the design thinking so far, there were 2 different directions we wanted to explore as a team, specifically about how we wanted to present the research and content creation components to users. After some discussion, our team decided to experiment with both by expanding our roles to explore the two UI layout concepts (aka camps).

Combined UI Camp:
Where the research tool & content creation studio are in the same screen & navigable in the same flow

Separate UI Camp:
Where the research tool & content creation studio are in different screens & flows from the outset

DESIGN
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Branding & Design System

Laying the foundation for a cohesive display.

Before wireframing, we needed a preliminary design system so that both camps can use the same components and features to maintain consistency. We retained some elements from MVP2's design library and borrowed some components from Shadcn.ui that blended seamlessly with S2P's overall brand and image.

 

Gauging user's expectations, I wanted to focus on a couple of factors:

  • Cohesive color palette of primarily green & purple – emphasizing feelings of reliability and creativity

  • Legible and clear typography – ensuring clarity and accessibility for users

  • Rounded and softer iconography – reinforcing user comfort and connection

VeriSci Logo.png

Wireframes

Creating the first look of a new VeriSci.

With the site structure and design system defined, we quickly built mid-fidelity wireframes and interactive prototypes in preparation for our client presentation and user testing.

Since I was working on the combined UI concept screens, I made design iterations to focus on:

  • Clean, navigable layouts for effortless transitions between research & content creation panels

  • Intuitive navigation between CTAs and key features on each panel

  • Responsive elements to match the working styles of researchers and creators
     

We also started some early onboarding wireframes to give the users and client a more cohesive image of VeriSci, despite our limited time towards the end of the project phase.

TESTING & VALIDATION
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Concept Testing & Insights

"Can't we find some way to combine them together?"

We then conducted unmoderated, qualitative concept testing via Maze with 8 diverse content creators to understand which approach better supports evidence-based content creation. We tracked heatmaps and post-test interviews with surveys to give us objective data on workflow efficiency and user preferences. Key insights included:

Design insights:
Users need integrated workflows with clearer visual guidance

User interaction insights:
Initial orientation and navigation clarity are essential for usability

Workflow insights:
Integration is critical for evidence-based content creation

User experience insights:
Users find comfort based on their familiarity with the tool

Synthesizing our findings from interviews and Maze, we finalized our participants' thoughts for the two concepts:

VeriSci Logo.png

Hand-off Process

Leaving notes for future work.

After gathering insights, we annotated our prototypes on areas that users appreciated as well as areas that users found difficult. We provided specific annotations and recommendations in our hand-off file for future iterations and the client developer team.

Accessibility is key.
Participants preferred having information in one screen rather than navigating through different screens. They also appreciated the visual hierarchy of the screens.

A more realized workflow can help.
Participants felt the interface & content creation workflow could use improvement. They also wondered about the purpose and relevance of the "Edit in Studio" button to content creation.


Possible suggestions:

  • Re-ideate steps to get from research chat to content creation studio

  • Show more clarity on what's being edited

    • E.g. split text into text blocks & include "Edit in Studio" under each block to transport to Studio panel

    • E.g. Provide a pop-up with short functionality description when hovering over the CTA button

More visuals, better clarity.
Participants didn't realize that a new answer was generated after refined searching.

Possible suggestion:

  • Include visual feedback (i.e. loading animation) to show that new answer is being populated underneath

Inclusive and reliable.
Participants compared the database-like interface to PubMed and Google Scholar, valuing the inclusion of sources and article types. They also appreciated having citations directly below the answer.

RESULTS
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Results

Both UI concepts had great feedback, but one had better results.

The combined UI concept had better usability with more successful task completions, potentially due to many participants having research backgrounds rather than content creation ones.

 

Despite this, many participants and stakeholders expressed the desire to see elements from both concepts in a single prototype. This would allow the team to create a more seamless experience and improve user engagement to help the client attract and retain more users.

"But I think, if I had to choose ... Oh god this is a hard one, I cannot choose a combination of both?"
- User Test Participant 2

2.32/5

Average difficulty rating*

75%

Participant task-completion success rate**

85%

Stakeholder satisfaction score***

*Ranked by users with scale of 1 to 5 (1 = easiest; 5 = most difficult)

**Data based on results provided by Maze & heatmaps

***Based on endpoint assessment survey from client

REFLECTIONS & NEXT STEPS
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Final Thoughts & Takeaways

Cheers to active cross-functional team and client engagement.

Everyone is part of something greater:
Working with S2P was a great moment to be more involved in client collaboration and cross-functional teamwork. Despite our constraints, we were able to pivot and synergize very well to produce impactful work that the client is very happy with.

Securing investor support for future work:

From our work in this project, the client was successful in securing more investor funding. With the client's high interest in further collaboration for future work, I am proud that this project turned out as a very positive and successful experience for everyone.

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Next Steps For Future Projects

Mapping the next steps.

Re-ideate on how to merge both concepts:
For future iterations, I would leverage the combined UI concept's stronger conceptual model as the foundation for further development with targeted improvements (i.e. addressing misclick issue, maintain clear navigation, etc.). 

This would enhance both usability and engagement for users, providing valuable insight for the client when they scale up to attract academic institutions and enterprises.

More iterations, more learning:
I would also conduct further rounds of user testing for continuous feedback to refine features. This would require more efforts in participant recruitment, both on our end and the client's end, which was a large issue during this project phase that I would try to avoid in the next phase.

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