✍🏼 Synthesized 150+ user interviews and led 2 rounds of usability testing
Identified pain points and scope, conducted market and user research, and organized moderated testing
Rapidly tested 3 concept directions, iterated across 5+ design prototype evolutions, improving customer satisfaction ~2x
🛠 Built product providing higher accuracy rate and more personalized results than competitors on the market
Designed prototypes for a 30-second scan, which has an accuracy rate of 92% (well above industry standards of 70-80%)
Created first app on the market to take into consideration not only band and bust sizes but equally importantly breast shape in result calibration
⭐️ Pitched and placed in New Venture Seed competition among ~200 start-ups
Semifinalist in largest start-up competitions at USC and UPenn, participating in 2-month long intensive incubator working closely with mentors, other entrepreneurs, and VCs
Won NVSC Concept Prize and Iovine & Young Award, receiving $6,500 of seed money
Our founders came together because we all experienced the same problem of constantly being on the hunt for the perfect bra. It had taken us all at least multiple years even beyond puberty to figure out our sizes and what fits our bodies, but even then, we are still afraid to branch out to new brands, new bra releases, and new styles simply because the sizes are always so inconsistent.
107 million women are wearing the wrong bra. This can lead to physical ailments, low self-image, and a waste of time and money. At the same time, bra retailers lose $3.2 billion each year from returned bras.
I spoke with 150+ real women of all shapes, sizes, and ages. Here were the main insights I collected.
Among the users I reached out to, I included women from a range of 16 to 61 years old. Women’s bodies change over time, especially after pregnancy or menopause. Our research found that many users only get fitted once in their teenage years and rely on trial and error for years afterward.
Loop can be used by half of the population in the world, but how do I create a UX that really captures women’s needs in an accurate way? I summarized 3 main personas as our first potential paying customers to help me design for their needs.
Throughout my user interviews, many users resonated with the inadequacies of in-person fittings, which was the most popular way for women to get fitted for bras. It's also interesting to note that many users talked about only having been fitted in their teenage years and relying on trial and error throughout adulthood.
Competitive analysis & the gap
The few existing digital solutions on the market account for user preferences across brands, but they often fall short due to unclear instructions, lengthy completion times, and an impersonal user experience.
With these opportunities in mind, I set the north star with actionable goals and outlined preliminary feature specifications, keeping in mind data requirements to kickstart the engineering process.
To break this down further, I identified 3 tenets that would make this experience seamless, comfortable, and genuine for our users.
HMW
ensure a user-friendly and accessible scan for all users, regardless of their technological proficiency and body type?
leverage user preference data to personalize bra recommendations?
provide comprehensive details about users' bra matches to empower informed decision-making?
Since I have defined this as a 3-pronged process, I created a user flow map which I used to gather my thoughts and comments through iterations. I used this as a tool to evaluate not only the architecture but also the content of my designs.
I explored the idea of a browser plug-in, a low-barrier, high-impact solution for faster customer acquisition. The plug-in could be tailored to address two common use cases:
Recommending bras on the website users are already browsing
Suggesting the appropriate size for a specific bra once selected.
This approach helps ease the mental burden of sifting through countless options and guessing the right fit and size. However, I realized this approach failed to address a core user need—providing cross-brand recommendations.
Next, I experimented with the idea of a web marketplace, where users could receive personalized recommendations and a curated shopping experience based on data from their scan. However, there was a significant disconnect between the scanning process and the shopping experience when relying solely on a web-based platform, since the scan technology and process weren't web-compatible.
I designed 4 iterations of the prototypes, drawing inspiration from successful elements of both the Chrome extension and web mockups. Throughout each major iteration, I conducted 30-minute usability testing sessions with 5 users to gather feedback, including unmoderated tasks and interviews.
Streamlining scan instructions
Since the scan is the core of our value proposition, I wanted to ensure the instructions were accurate and clear to minimize the risk of low-quality scans.
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After the first iteration, 3 out of 5 users still struggled to understand how to position themselves in front of the camera.
Despite including instructions on propping up their phone and staying in frame, they still faced challenges executing the scan due to unclear posture guidelines. Most users also admitted to skimming or skipping the long paragraphs, which made me realize I needed to design with users' likely short attention span in mind so that critical details wouldn’t be overlooked.
In the second iteration, I simplified the instructions into step-by-step demonstrations, filming short clips with a real person to create a more engaging and human connection. This approach not only built trust but also effectively captured users’ attention.
I also added clearer explanations for framing, posture, and clothing, which significantly improved success rates. Many users mentioned they were visual learners, and seeing a demo helped them better understand what to expect.
The videos posed a challenge on the other end of the spectrum—users couldn’t skip through them, and with each video lasting 5-8 seconds, the total viewing time became quite lengthy.
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To strike a balance, I captured users’ attention with concise 2-3 word headings and brief two-line subheadings while streamlining the instructions from 7 steps down to 5 digestible ones.
Additionally, I introduced simple animations to create consistent and clear visual cues. This significantly reduced the time required to go through the instructions without compromising the success rate.
I retained the video demos for those who preferred them, and I added a skip option that lets users fast-track to a checklist summary.
The "Why do we need this?" section was introduced in response to users’ concerns about data storage and whether unmentioned factors might impact scan results. I incorporated a pop-up modal to clarify our data security practices and address frequently asked questions, ensuring transparency and user confidence.
Our AI algorithm requires four snapshots—front, side, and back. Initially, I designed separate flows for each, but this proved inefficient. Users had to repeatedly set up their phone, step back, take a photo, walk back, and repeat the process multiple times, making it time-consuming and frustrating. To improve this experience, I tested multiple iterations, experimenting with on-screen guidelines, automatic instructions between scans, and other refinements to balance convenience and clarity.
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Through testing, I found that users responded best to auditory signals and high-contrast visual cues, as these were easier to distinguish from a distance.
In the final design, I introduced a shaded outline to guide users into the correct frame, along with beeps for countdowns and turn prompts—both of which I preface in the instructions.
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The countdown timer features high-contrast, full-screen color overlays that sync with the beeps, ensuring clear visual and audio guidance.
The content of the quiz is critical for personalizing recommendations beyond just band and bust size. I refined the quiz iteratively, drawing from both primary and secondary research on the challenges women face when finding the right bra and what truly defines a good fit.
Initially, my iterations included questions about breast shape, a common approach in traditional fit quizzes.
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However, I quickly found that this method is often ineffective - self-reporting breast shape is not only confusing for many users but also highly inaccurate, as most people aren't sure how to categorize themselves.
Instead, I redesigned the questions to focus on lifestyle, pain points, and fit concerns as the entry point.
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This approach makes it easier for users to reflect on their own experiences rather than trying to fit themselves into rigid categories.
Asking about fit issues they’ve noticed in their current bras allows for a more nuanced understanding. Users can describe a mix of problems they experience, which often stem from multiple factors rather than just one predefined shape.
I explored two initial approaches to structuring the hierarchy of bra recommendations.
Loop Breakdown – a quantitative approach that presented match scores as percentages. Users appreciated the credibility and detail it provided, but many found it confusing at a glance.
Loop Highlights – a qualitative approach that tagged bras with user satisfaction metrics. While this was more intuitive, it didn’t clearly distinguish the top choices.
To strike a balance, I ultimately designed a hybrid approach—introducing a Loop Score (a ranking out of 10 based on relative fit) alongside Loop Highlights for additional context. This solution preserved the transparency of match scores while making the recommendations easier to interpret at a glance.
Using onboarding to explain purpose and convey genuine, playful branding
Users are first onboarded onto the app in a quick and seamless process, tying back to the user need for quickly understanding and utilizing its core functionalities without navigating through cumbersome preliminary steps. We explain the purpose of our team and the app, demonstrating value upfront rather than guiding them to an empty home screen upon first visit.
I didn’t just want this to be a functional app—I wanted to create a sense of community and inclusivity. Women of all races, shapes, and ages face these challenges, and I wanted that representation to come through. To reinforce this, we shot all the professional visual assets ourselves, ensuring the brand felt authentic and relatable. The onboarding screens are part of that effort, capturing the genuine experience we aimed to build!
Recognizing that a body scan can feel daunting, I broke down the instructions into five simple animations, each paired with concise 2-3 word action items. This transforms a potentially overwhelming task into a guided, manageable experience, reducing anxiety and increasing user compliance.
To further ease the process, each step is supported by friendly videos and brief FAQs, helping demystify the scan and keep users engaged—ultimately reducing drop-off rates. Additionally, users can preview the audio cues used during the scan and view examples of Faith conducting the process. This serves a dual purpose: setting clear expectations while personalizing the experience, making it feel less like a rigid procedure and more like a tailored guide.
Flexibility was also a key focus. The instruction flow allows users to move at their own pace, whether they want to skip steps or dive deeper into specific instructions. This adaptability ensures the app accommodates a range of preferences—from those who prefer a quick, streamlined process to those who want a thorough understanding before proceeding. By designing for diverse comfort levels, the scan process remains inclusive, intuitive, and stress-free for all users.
The quiz structure also eases users into decision-making. It starts with simple, detail-oriented questions—like coverage preference, hook settings, and underwire presence—that users can answer instantly, helping them warm up without feeling overwhelmed. As engagement builds, the quiz transitions to multi-choice fit and support questions, which require more thought but are essential for precise recommendations.
Finally, it wraps up with personal preference questions on budget and style. These are placed at the end since they are less critical to fit but ensure the final recommendations align with the user’s aesthetic and comfort preferences.
This progressive structuring—from easy to detailed to personal—keeps users engaged, prevents decision fatigue, and ensures they complete the quiz with minimal effort and maximum accuracy.
Since answering these questions can feel tedious, my goal was to make the process as quick and painless as possible. To streamline the quiz experience, I also designed single-select questions to auto-advance, eliminating unnecessary clicks and reducing friction. This keeps the flow fast and frustration-free.
Now, users receive their results!
They are presented with a curated list of bra recommendations, each sorted by match score by default, making it easy to assess how well each option aligns with their specific needs. Once a bra is selected, Loop Highlights provide deeper insights, synthesizing key factors from the preference quiz to explain why the recommendation fits their criteria.
Grounded in user personas—such as small band, large bust; petite frames; and larger sizes often overlooked by mainstream brands—Loop Highlights reinforce inclusivity. By justifying each recommendation, we help users feel seen and understood, bridging the gap between diverse fit challenges and tailored solutions.
Instead of overwhelming users with endless options, the recommendations page prioritizes their top three matches. My research showed that users prefer immediate clarity over the aimless, time-consuming browsing typical of traditional e-commerce. By surfacing the most relevant options first, we reduce cognitive load and decision fatigue.
Unlike standard e-commerce platforms, the UI also features "Loop Verified Sizing" directly in the feed—addressing a key pain point in online bra shopping: trust in sizing. Rather than forcing users to sift through countless reviews, measure themselves, or navigate different fit guides across brands, we surface this crucial information upfront, making the process effortless and reliable.
The user profile was designed to provide a deeply personalized, data-driven foundation for each user’s bra shopping journey.
For users like Lexi, a fashion-forward expert shopper who frequently tries new brands—some of which may not yet be in our database—the scan summary offers immense value. It gives her a clear starting point based on her unique fit needs while ensuring our recommendations remain flexible and not limited to just the brands we have access to.
To enhance transparency and education, I included a detailed breakdown of band and bust sizes, along with breast shape insights. Many users I spoke with emphasized self-understanding as a key factor in their shopping experience, so providing this information helps them make informed decisions about fit beyond just our recommendations.
The result highlights section reinforces this guidance by outlining the key fit characteristics users should prioritize for comfort and support—recognizing that these needs vary drastically from person to person. For example, Priya, who is experiencing physical changes, and Zoe, who has a petite frame with a larger bust, often find that generic shopping experiences fail to address their specific fit challenges. By providing both resonance and education, this feature empowers them with actionable insights that enhance their shopping experience—even if their perfect bra isn’t among the initial recommendations.
Investor and competition pitch deck
I also designed the presentation for VCs and competitions and incubators that we enrolled in, including Penn Innovation Competition and USC New Venture Seed Competition. It summarizes the non-design work I contributed to, including underlying technology, business strategy, and financials.
Main takeaways
Balancing speed and precision in product design
Shipping fast is critical, but designing with scalability in mind prevents future bottlenecks. I learned how to prioritize core functionality without accumulating UX debt, ensuring that rapid iterations didn’t come at the cost of usability or long-term viability.Storytelling as a competitive advantage
A strong product isn’t enough—framing the problem and vision effectively determines whether investors buy in. I refined the skill of translating complex technology into a compelling narrative, making this AI-driven solution not just digestible, but persuasive.Building from zero requires ruthless prioritization
Unlike established companies, a startup operates with constraint-driven creativity—limited resources force hard decisions. I developed the ability to distill a broad vision into executable steps, focusing on what moves the needle now while ensuring the foundation supports future scale.
