Case Study II:
Poshmark (Re)Design
A UX case study dissecting and redesigning Poshmark with a focus on accessibility, personalization, clarity, and user trust
UX Design
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Defined scope + assumptions
Conducted user interviews + synthesized findings
Developed personas, journey maps, + user flows
Designed low-fidelity wireframes
Iterated based on usability insights
Presented final design rationale
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Figma (wireframes, UI design, prototyping)
FigJam (user flows, site map, task analysis)
Zoom (user interviews)
Adobe Photoshop (high-fidelity wireframes)
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No access to Poshmark’s internal data or analytics
Limited to external user research + public competitor insights
Remote user interviews
Year: 2025
Role: UX Researcher + Designer
Timeline: 4 Weeks
A solo UX research and redesign project focused on improving user experience within Poshmark, a social second-hand marketplace app. The project aims to streamline navigation, reduce cognitive overload, and introduce personalization features for a more intuitive and efficient shopping journey.
Process + Beginning
Initial Assumptions +
Problem Framing
I hypothesized that users were overwhelmed by non-personalized content, struggled with tracking items, and were frustrated by irrelevant notifications.
User Interviews +
Empathy Mapping
I interviewed 3 users remotely (buyers + sellers) to validate pain points. Empathy maps highlighted the desire for efficiency and navigational clarity, users’ anxiety around missing desired notifications, and finally, frustration and confusion with content suggestions.
Persona
+ Journey
Mapping
Persona
After my three interviews, my representative “persona” was someone who often additionally shops for others, comes to Poshmark with a specific item or object to buy in mind, and is in their 30s and values sustainability and transparency in their consumption habits.
Journey Mapping
After mapping the user’s journey, three key pain points emerged: users frequently lost track of listings and experienced notification fatigue, had no quick way to access favourite sellers, and lacked insight into trending searches or personalized suggestions—revealing a need for improved clarity, customization, and discovery features within the app.
Identifying
User Flows
Low-Fidelity Wireframes
Key Features Designed
1. Personal Home Feed
Pin trends, folders, profiles for easier access + faster recall of previous interactions.
2. Multiple Size Profiles
For shopping for various bodies + desired fit.
3. Notification Centre
Customized prioritization, mute irrelevant updates, message sellers directly.
4. Smart Listings
Explain suggestions (trends, sellers, items) with activity stats + more information
Outcomes + Lessons
Improved Navigation + User Trust
The redesigned marketplace experience significantly improved user confidence when browsing listings, navigating seller profiles, and locating past purchases. Participants described the new interface as “cleaner” and “easier to trust,” reporting reduced cognitive friction and faster pathway recognition during key resale tasks.
Personalization as a Driver of Adoption
Testing revealed that users valued intentional personalization over social features. Subtle recommendations and clear system logic made the platform feel more intuitive and user-centric. Visual polish alone was not enough—transparency and control over recommendations proved essential in driving engagement and perceived platform credibility.
ROI: Trust, Retention + Seller Growth
By reducing overwhelm and increasing relevance, the redesign directly supported ROI through improved user retention and higher likelihood of repeat purchases. Enhancing perceived trust in the browsing experience positions Poshmark as a reliable platform in a competitive resale market, increasing seller profitability and long-term customer loyalty.
KPIs: Performance Metrics + Behavioural Outcomes
Success was evaluated based on key behavioural metrics that signalled increased confidence and long-term platform engagement. Primary indicators included higher task completion rates when locating items and sellers, increased interaction with personalized dashboard features, and a measurable decline in notification opt-outs—demonstrating improved relevance and reduced overwhelm.