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User Experience Optimization in SAP SuccessFactors Learning: A Caching-Driven Approach to Perceived Performance

Author(s) Pradeep Kumar
Country India
Abstract Enterprise learning applications like SAP SuccessFactors Learning demand not just functional correctness but exceptional user experience (UX), especially as learners expect fast, intuitive, and responsive interfaces. While backend performance has traditionally been the focus of optimization, this paper introduces a caching-driven approach to improve perceived performance from the user's perspective. The proposed strategy leverages a multi-layer caching architecture spanning CDN, web tier, application server, and database caching, integrated with lazy loading, fetch minimization, and behavior-aware content delivery.
Key contributions include the use of semi-caching techniques to cache only medium- and long-lived data objects, such as catalog filters and static metadata, while excluding high-churn items like user progress or quiz responses. The paper explores CDN integration to offload static asset delivery, reducing load times globally. At the frontend, lazy loading ensures that only content visible above the fold is loaded initially, with remaining components fetched dynamically, significantly reducing initial payload and improving time-to-interaction. Backend APIs are enhanced through fetch size limitation, avoiding excessive data transfer and memory consumption. Content downloads, including SCORM and PDFs, are parallelized with controlled concurrency to prevent UI jank and network congestion.
Keywords SAP SuccessFactors Learning, UI Optimization, Caching, CDN, Redis, Lazy Loading, Perceived Performance, Fetch Minimization
Field Computer Applications
Published In Volume 6, Issue 6, June 2025
Published On 2025-06-02
Cite This User Experience Optimization in SAP SuccessFactors Learning: A Caching-Driven Approach to Perceived Performance - Pradeep Kumar - IJLRP Volume 6, Issue 6, June 2025. DOI 10.70528/IJLRP.v6.i6.1585
DOI https://doi.org/10.70528/IJLRP.v6.i6.1585
Short DOI https://doi.org/g9p5tp
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