Stackline

Stackline is a retail technology company that builds commerce tools for thousands of the largest consumer brands, retailers, and professional service firms.

Person using a laptop with a fitness tracker on their wrist, in a room with a wooden shelf in the background.
 Service:  Product Design

Overview:

Designing enterprise retail intelligence platforms used by global consumer brands. Focused on simplifying complex workflows across data-rich SaaS products, analytics systems, and AI-powered tooling at Stackline.

Role:

Product designer

Timeline:

2023 – Present

Products:

Atlas

Shopper Analytics

Shopper OS

Advisor

Brandclub

Responsibilities:

Product designer, enterprise SaaS / retail intelligence, UX strategy, workflow design, design systems, cross-functional collaboration, product maintenance

Team:

Isabelle Iwatsubo

Ikram Navia

Lindsey Wayman

Michael Lagoni

Raj Ramasamy

Chris Zhou

Alex Berry

Subhadeep Chakraborty

Patrick Leake

Joungwoo Baik

Shivang Mistry

Tools Used:

Figma, XD, Zeplin, Cursor, Lovable, Claude Design

Outcome:

Redesigned core product flows across products — reducing UI complexity, improving data hierarchy, and maintaining design consistency across a platform used by thousands of enterprise brands.

oVERVIEW OF ROLE

At Stackline, I design enterprise retail intelligence tools that help global brands analyze market performance, shopper behavior, forecasting, and competitive trends across major retailers including Amazon, Walmart, and Target. I worked across multiple enterprise platforms including Atlas, Shopper Analytics, and Advisor, designing scalable workflows and data experiences used by global consumer brands to analyze market performance, shopper behavior, forecasting, and competitive intelligence.

Responsibilities:

  • Designed workflows for data-heavy enterprise tools

  • Simplified complex analytics into actionable interfaces

  • Built scalable UI patterns across multiple products

  • Partnered closely with PMs, engineers, and leadership

  • Supported AI-powered product experiences

 

Challenge Solution


Complex Data Density

  • Condensed content to be more digestible

  • Reorganized material to be more intuitive

  • Modernized data visualizations and interface

Workflow Fragmentation

  • Redesigned products for cohesion

  • Embraced neutrality for seamless transition

  • Adhered to new standard of beautiful design

scalability

  • Included additional messaging & education

  • Limited wordiness and incorporated tutorials

  • Updated workflows & recentered around UX


 

Design System

 

Back to the basics

At Stackline, the standard for our designs concentrated on detailed and precise mocks, ensuring clarity from concept to execution. Our team’s workflow must account for rapid turnaround times without compromising the quality of the mocks. With a focus on minimal yet beautiful visualizations, our products must be able to communicate complex datasets within sleek and intuitive designs.

defining a brand

With clients like Apple, Liquid Death, and McAfee, Stackline is a defining tool in the industry. But to own that space, we need a design that matches the company’s ambition. We crafted a bold, modern identity that presents data while also defining the brand. Through sleek visuals, intuitive interfaces, and a distinct aesthetic, we wanted clients to be able to identify Stackline’s data no matter what product they were using.


adding clarity

While Stackline’s data is extremely powerful, its previously cluttered UI overwhelmed users with too much information at once. Navigation was confusing, visuals were dense, and insights were buried under complexity.

We streamlined the experience with a clean, modern design and replaced it with intuitive layouts and impactful visuals. We prioritized clarity and hierarchy and created a sophisticated interface that not only enhances usability but elevates Stackline’s identity.


CREATING A LEGACY

While Stackline is armed with groundbreaking data, the previous design didn’t match the company’s potential. To solidify their place as a formidable industry leader, we crafted a bold, intuitive, and visually striking interface that not only showcased their power but built trust with users.

By merging seamless usability with a strong brand presence, we ensured that their legacy as a powerhouse tool will live on in its design. For me, Stackline has deepened my understanding of what it means to own a product long-term, balancing the push for new features with the discipline to keep the foundation clean, consistent, and scalable.


 

motion

 

a Minimal UI

Because Stackline is an intelligence platform first and foremost, the motion incorporated should be minimal and only used to enhance the user experience.

Standard motion should be quick and efficient. It should be subtle enough to not distract the user from the content, but noticeable enough to be easily understood. Hover motion can also be used to add personality to the designs while being hidden enough to maintain a clean and sophisticated UI.

 

Collaboration

I collaborated closely with our CEO alongside product managers, engineers, and leadership to design scalable enterprise experiences across multiple retail intelligence platforms. My work required balancing complex business requirements, dense datasets, and technical constraints while maintaining clarity and usability for global consumer brands.

Working cross-functionally, I contributed to product strategy, workflow definition, interaction design, and scalable UI patterns across Atlas, Shopper Analytics, and Advisor. Through iterative design reviews and rapid feedback loops, I helped align product direction across teams while ensuring solutions remained flexible, intuitive, and technically feasible.


reflection

Designing enterprise data products at Stackline strengthened my ability to simplify complexity at scale. I learned how thoughtful product design can reduce friction in high-density workflows, improve decision-making, and make large datasets feel approachable and actionable.

This work deepened my experience designing for scalability — from creating reusable systems and consistent interaction patterns to supporting evolving AI-driven workflows across multiple products. More importantly, it reinforced the value of balancing business goals, technical constraints, and user needs to create experiences that are both powerful and intuitive.


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