Dexteria 2 Optimization
Developed an optimization report for Dexteria 2, an occupational therapy app, integrating survey insights with Google Analytics data to build a Tableau dashboard and recommend data-driven UX enhancements.
Python
Tableau
Project Overview
Client | BinaryLabs |
Timeline | 8 weeks (2025) |
My Role | Data Analytics and UX Design Consultant |
Link |
Binary Labs, a pioneer in digital occupational therapy tools, tasked our team with optimizing Dexteria 2, a fine-motor rehabilitation app. The goal was to refine features and positioning for the stroke rehabilitation market. As part of a cross-functional team, I contributed as a data analyst alongside UX researchers, marketers, and product designers.
Objectives
Identify underutilized features and pain points through data analysis.
Benchmark Dexteria 2 against competitors to uncover gaps.
Conduct user research with educators, occupational therapists, and caregivers.
Deliver actionable recommendations, Tableau dashboards, and Figma mockups.
Research & Analysis
Usage Data
Using Google Analytics and Python, we found that Burger Builder had 6× more engagement than Vantage Point, suggesting theme and visual appeal drive retention.
Platform Insights
63% of use came from schools/institutions, and the app was primarily used on iPads, reinforcing the need for tablet-optimized design.
User Feedback
Educators and therapists praised engaging activities but cited weak onboarding, dated visuals, navigation issues, and limited stroke-specific content.
Competitive Benchmarking
Compared Dexteria 2 with MusicGlove, Tactus Therapy, and RehabCoach, revealing gaps in progression systems, personalization, and breadth of content.
Key Findings
We found that the lack of tutorials and guidance confused new users, making it harder for them to get started effectively. Limited mini-games and stagnant skill progression further reduced long-term engagement. Additionally, the Vantage Point game underperformed and required either a redesign or replacement.
Overall, Dexteria 2 occupies a space between high-cost, clinically validated tools and more affordable but less polished competitors.
Recommendations
UI/UX Updates | Modernize visuals, soften color palettes, improve layout, and add clearer instructions. |
Gameplay Enhancements | Add difficulty selection, timed rounds, progress indicators, and performance summaries. |
Feature Additions | Introduce skill-locking mechanisms for therapists, multi-user tracking for schools/clinics, and expanded content for diverse rehabilitation needs. |
Strategic Positioning | Bundle Dexteria 2 with other Binary Labs tools for a holistic therapy ecosystem. |
Deliverables
Tableau Dashboard
Summarized feature usage, engagement trends, and demographic insights for decision-makers.
Visual Mockups
Prototypes showcasing redesigned interfaces and gameplay flows.
Impact
The condensed insights and visuals provided Binary Labs with a clear roadmap to elevate Dexteria 2’s market competitiveness. By modernizing the UI, improving gameplay clarity, and targeting the stroke rehab segment, our recommendations position the app as a more engaging, scalable, and therapeutically aligned tool for pediatric and adult rehabilitation contexts.