Tracy Khiew is a multidisciplinary designer based in New York. Her practice spans branding, art direction, digital campaigns, design systems, UI design, and interaction design.
Resume
Work
Baskit is a mobile marketplace where local farmers market vendors livestream products and offer same-day pickup. When rain cancels the market, vendors lose entire sales days, but their business doesn’t wait. We built a platform that extends the market beyond weather and fixed schedules while keeping what makes it special: fresh, local, personal.
Through research with vendors and iterative testing, we designed a platform that respects their medium tech comfort while creating new selling opportunities beyond the traditional three market days a week.
Vendor interviews, competitor scan, and early framing of the “weather + fixed schedule” problem.
Affinity mapping, six key themes, and the first “How might we…” statements for Baskit.
Early information architecture, seller flows, and low-fidelity onboarding and order screens.
High-fidelity prototype, task scenarios, and moderated tests on livestream and pickup.
Design refinements, simplified flows, and documentation of findings and metrics.
Local farmers market vendors face rigid operational constraints that limit when and how they can sell.
Markets run rain or shine. When weather cancels the market, vendors lose a full day of revenue, but their fresh produce doesn’t stop needing to be sold.
Vendors typically sell three days per week (Monday, Wednesday, Saturday) with long hours (7am–4pm). They want more flexibility to sell on their own terms.
Buyers constantly ask “Do you have X?” before traveling to the market. There’s no way to check availability in advance.
Live + local pickup is completely underserved.
We conducted six user interviews with farmers market vendors, hobby sellers, and market workers. Through affinity mapping, we identified six major themes:
How might we extend selling opportunities for local vendors while respecting their values around freshness, local relationships, and medium tech comfort?
The platform needed to:
We analyzed existing platforms to understand the landscape:
Live streaming with national shipping, inventory management, order tracking, and livestream features.
Gap: not local pickup.
Local food marketplace with static listings and pickup. Gap: no live streaming or real-time interaction.
Community-supported agriculture with map-based discovery and strong onboarding.
Gap: no live component.
Surplus food rescue marketplace.
Gap: waste reduction focus, not a full marketplace.
Subscription-based local food delivery. Gap: subscription model, not flexible selling.
We ran an open card sort with 44 feature cards representing potential app functions.
This validated what vendors told us: they think about transactions as continuous workflows.
We built an initial information architecture with five main sections and tested it across six realistic tasks:
| Task | Direct Success | Avg Time |
|---|---|---|
| Add new item to inventory | 57% | 32s |
| Check stream analytics | 86% | 22s |
| Verify buyer at pickup | 0% | 35s |
| Schedule livestream | 43% | 58s |
| Mark order as complete | 71% | 19s |
| Create product bundle | 57% | 46s |
The 0% success on buyer verification was critical. Sellers verify buyers multiple times every market day; it’s
one of the most frequent tasks. We had organized by information hierarchy (verification buried under Orders),
but users expected organization by task frequency.
The team agreed we needed to redesign around how sellers actually work, not how we thought information should be organized.
We tested with five participants acting as new sellers going through their first live session.
Scenario: “You just joined Baskit to sell your local produce. This is your first livestream. Make sure everything is ready before you go live.”
What we heard:
What we heard:
What we heard:
What we heard:
What we heard:
What worked:
What needs work:
The vendor ecosystem is broader than we initially thought.
Research revealed a spectrum: professional farms, hobby bakers, seasonal creators, and wholesale operations.
They all face the same core problems (weather, limited days, tech comfort) but have different contexts.
The platform serves this broader ecosystem, not just a narrow segment.
Vendor values shaped every design decision.
Vendors care deeply about freshness, local relationships, and handcrafted quality.
Baskit needed to extend the market without replacing what makes it valuable.
The platform respects their identity while creating new opportunities.
Testing early prevented bigger problems later.
The 0% tree testing result was uncomfortable but critical.
We could have built the entire prototype with a buried verification flow.
Finding it early let us fix it before launch.
Iteration requires honesty.
The 2.3/5 livestream score stung, but it showed exactly where to focus next. Usability testing revealed that complexity is our biggest design challenge, not whether the concept works.
The current flow is too complex. We’d simplify the featured items concept, reduce setup steps,
and test with real vendors to see whether the “go live in 60 seconds” goal is realistic.
We redesigned based on the 0% verification finding, but haven’t validated whether success
rates improved. A second round would quantify the impact.
Our studies used recruited participants acting as sellers. We need real vendors to validate
the “fresh daily” model and business assumptions.
This phase focused on sellers. Buyers need a way to browse streams, place orders, and manage pickup. That’s the other half of the platform.
We still need to test whether live + local pickup solves a problem vendors will pay to solve, or whether they prefer traditional markets even with weather constraints.
**Course project for INFO 643: Information Architecture & Interaction Design, Pratt Institute, Fall 2025.
Special thanks to Professor Aimen Awan for guidance throughout the project.