Research-informed Shopify e-commerce redesign that clarified product taxonomy, holiday discovery, and responsive buying paths through prototype-led IA work.
Overview
Clarify holiday-decoration discovery, product differences, and purchase paths in a Shopify storefront.
Project context
FEATURED EVIDENCE
A quick scan of the moments that best explain the problem, the pivot, and the payoff.
Why it mattered
Hypothesis
Clearer navigation, product structure, and help guidance would make the shopping experience easier to understand and buy from.
Insights
Heuristic evaluation, competitive analysis, SurveyMonkey research, and card sorting pointed to unclear navigation terminology and weak distinctions between single scenes, collections, and packaged products.
CASE STORY
Each lane isolates the clearest evidence so reviewers can scan the work in order.
CASE EVIDENCE
WIREFRAMES
DESIGN
VALIDATION
How it moved
Restructure the IA around clearer holiday-oriented product groupings, breadcrumbs, and related product or content pathways, then test the direction in responsive prototypes.
Heuristic evaluation, research synthesis, weekly executive check-ins, and a full-site Axure prototype shaped the direction.
Handoff to Shopify developers included responsive flows, e-commerce feature designs, help content, related-content pathways, and Google Analytics funnel planning.
Resulting shift
Tools
The working set used to research, prototype, align, and ship this case.
A quick walkthrough of the decision path, interface behavior, and delivery proof behind AtmosFX e-Commerce Redesign.
Captions and speed controls remain available in-player for fast review.
Worked with the following clients
