Stash It

A platform tracking style inspiration through connecting screenshots, carts, and social feeds.

Fig 1.0Stash It brings scattered inspiration into one structured home.
Fig 1.1Items are captured quickly from anywhere online.
Fig 1.2Saved pieces are organized visually into boards.
Timeline
6 Weeks
October–November 2025
Scope
UX/UI Design, Art Direction
Tools
Figma Adobe Creative Cloud Midjourney ChatGPT
Details
Client project
Overview

One home for scattered style inspiration

Stash It is a platform for tracking style inspiration by connecting screenshots, carts, and social feeds into a single, structured space.

Instead of leaving taste spread across open tabs, saved posts, and abandoned carts, the system preserves evolving intent over time, supporting long, non-linear decisions about what to keep, curate, and eventually buy.

Research

How taste gets stored, and lost

Early insights

I began by studying how people save and revisit desired items: carts, open tabs, screenshots, and saved posts. In Fashion Ecologies (2023), Kate Fletcher describes fashion's shift from local, interdependent cultures to a dispersed global system. Building on this, I define style fragmentation as the decentralization of how we collect and organize taste. Fragmentation is no longer just about breaking things apart; in today's e-commerce landscape, it describes a systemic condition shaping how style is stored, discovered, and remembered.

Market research

Commerce platforms specialize in either transaction or discovery. As a result, inspiration and purchase occur across disconnected systems, forcing users to manage their own continuity.

Research signals

Users often use carts as a way to research and remember items, not as a commitment to buy. Higher-priced items tend to stay in consideration longer. Many users care more about understanding their taste than receiving recommendations. Over time, algorithms can make discovery feel repetitive and impersonal.

Synthesis

To better understand the market, I compiled my research into the following areas.

Competitor audit of commerce and discovery platforms
Fig 2.0A competitor audit of how commerce platforms split discovery and transaction.
Competitor Audit

Discovery and transaction live apart

Tools like Honey and Klarna optimize for price or flexible payments, not for holding and revisiting taste over time. Across the landscape, discovery and purchase stay split, leaving room for a platform built around persistent intent.

Problem

Inspiration and intent live in disconnected places

To better understand the market, I compiled my research into the following areas.

How might we

The architecture prioritizes persistence over transactional speed. Rather than optimizing for isolated purchases, the system is designed to preserve evolving user intent across time. Inspiration, organization, and checkout exist within a continuous framework that supports long, non-linear decision-making and durable tracking across boards.

Process

From architecture to interface

Site map

The architecture prioritizes persistence over transactional speed. Inspiration, organization, and checkout exist within a continuous framework that supports long, non-linear decision-making and durable tracking across boards.

Sketches

Sketches were used to quickly explore layout, hierarchy, and interaction ideas before moving into higher fidelity. This phase focused on helping clarify core flows and surface assumptions early.

Brand styles

Typography, color, and layout decisions were grounded in core product values and user context, creating a consistent but flexible visual system designed to scale across features and states. Imagery operates as functional infrastructure, used selectively to guide attention, communicate abstract concepts, and reinforce narrative without competing with usability. The image system pairs branded, user, and product content into a cohesive editorial language, supported by AI-generated visuals to maintain continuity across the experience.

Stash It site map and information architecture
Fig 3.0Site map and information architecture.
Early sketches of core flows
Fig 3.1Early sketches of core flows.
Lo-fi prototypes

With the architecture and flows mapped, I moved into lo-fi prototypes to pressure-test the core ideas. Each explored a different way people might collect and revisit style, and informal usability testing and peer reviews surfaced the friction points and opportunities that shaped the next round.

Lo-fi prototype

Social Feed

Early prototyping explored how community could be built into the platform through shared boards and creator visibility.

Testers responded positively to the idea of seeing how others curate, but struggled to differentiate between personal and public spaces.

Lo-fi prototype

Moodboarding

Tests how users could creatively express and visualize their collections.

Participants enjoyed the freedom of arrangement but were unsure how it connected back to their saved items or purchase flow.

Lo-fi prototype

Organizational Systems

Focused on helping users understand where their content lives and how to begin organizing it.

Many testers found the interface overwhelming. Feedback led to a simplified hierarchy.

Solution

One place to save, anything, from anywhere

A single place to save products from anywhere online. Items are captured quickly and organized visually, replacing scattered screenshots, notes, and open tabs with a clear, structured system.

Fig 4.0Saving and organizing products into visual boards.

Built for how people actually decide

The experience supports different usage styles without requiring configuration. Users can casually save items, actively curate collections, or return only when ready to decide.

Fig 4.1Casual saving, active curation, and considered checkout in one flow.
Outcomes

A cohesive, scalable foundation

A cohesive, end-to-end product experience that clearly communicates value while remaining flexible for future iteration. The system brings together research insights, interaction design, and brand expression into a unified whole. The final prototype demonstrates a scalable foundation, validated through testing and collaboration, and is positioned to evolve alongside user needs.

Future Development

Next steps

Add automated product integration to make it easy to pull in items and content directly from e-commerce sites.

Expand sharing features by building collaboration tools and a more interactive style feed.

Build out save-from-camera-roll so users can upload and organize items they already have.

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