Designing User-Centric Experiences Best Practices from Scalable Apps for Mobile

Authors

  • Omung Jain, Rutvij Shah, Bapi Raju Ipperla

Keywords:

Scalable Mobile Apps, User Experience (UX), Personalization, App Performance, User Retention, AI-driven Design, UX Optimization.

Abstract

The increasing demand for scalable mobile applications necessitates the design of user-centric experiences that ensure seamless performance, engagement, and retention. This study explores best practices in UX design by analyzing key performance metrics, user interactions, and sentiment data from leading scalable mobile apps. A mixed-methods approach was used, incorporating statistical analyses, correlation, regression modeling, and clustering techniques to evaluate the impact of app load time, personalization, and navigation ease on user satisfaction. The results indicate that faster load times significantly enhance user retention (-0.72 correlation, p = 0.002), while AI-driven personalization (+1.12 coefficient, p = 0.000) improves engagement. Sentiment analysis of 1,000+ user reviews revealed that 62% of feedback was positive, with negative reviews focusing on performance-related issues. User segmentation identified three engagement groups, emphasizing the need for dynamic UI adjustments. The findings underscore the importance of performance optimization, personalization, and adaptive UX strategies in scalable mobile apps. Future UX enhancements should integrate AI-driven design, voice-enabled interactions, and ethical data practices to maintain long-term engagement. This research provides a framework for developers and designers to create intuitive and scalable mobile experiences.

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Published

06.08.2024

How to Cite

Omung Jain. (2024). Designing User-Centric Experiences Best Practices from Scalable Apps for Mobile. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 2459–2466. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7370

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Section

Research Article

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