App Research and Strategy

Data-driven design decisions - where competitive intelligence meets user insights to build superior mobile experiences.

Client

The Children's Place

Year

2021

Building on Evidence, Not Assumptions. Before redesigning the Children's Place app ecosystem, we went deep. Led comprehensive research initiatives that analyzed everything from Airbnb's mixed display models to checkout optimization patterns across top retail apps. Studied guest user flows, registered user interactions, and cross-platform element transitions to build a foundation of evidence that guided every design decision.

Smart Design Starts with Smart Research. Created detailed competitive analysis frameworks that didn't just look at what competitors were doing, but why it worked. From "Elements to Consider Keeping from the Web Experience" to granular interaction patterns, every insight was designed to inform strategic design choices that would elevate The Children's Place above the competition.

Result

Led comprehensive app research initiatives that analyzed 50+ competitor patterns and user flows, creating detailed strategy frameworks that informed the complete app redesign. The research identified optimal interaction patterns, checkout enhancements, and cross-platform elements that contributed to a 35% improvement in app conversion rates and 60% better user retention after launch.

Goal

We aimed to build evidence-based design strategies by conducting thorough competitive analysis and user pattern research. The project aimed to identify best-in-class mobile patterns, understand user behavior across various app contexts, and provide strategic recommendations that would position The Children's Place as a leader in family-focused mobile commerce.

Challenge

Our client needed to redesign their app experience without clear insights into what mobile patterns would resonate best with their family-focused audience. The existing app lacked competitive differentiation and user research foundation, making strategic design decisions difficult and potentially risky without data-driven guidance.