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Development of an Employee Experience Management System (ExMS) with Privacy-Focused Data Analytics and Multi-Platform Accessibility
  1. case
  2. Development of an Employee Experience Management System (ExMS) with Privacy-Focused Data Analytics and Multi-Platform Accessibility

Development of an Employee Experience Management System (ExMS) with Privacy-Focused Data Analytics and Multi-Platform Accessibility

leancode.co
Human Resources
Business services

Defining the Core Challenges in Employee Engagement and Data Privacy

The organization faces difficulties in accurately measuring and improving employee experience due to limited insight tools, lack of employee ownership of data, and challenges in maintaining data privacy and security across multiple platforms. Additionally, existing solutions lack flexibility for custom activities and suffer from inconsistent user engagement across web and mobile interfaces.

About the Client

A mid-sized, global organization seeking to enhance employee well-being and engagement through data-driven insights and personalized digital experiences.

Key Goals to Enhance Employee Experience and Data Security

  • Develop a comprehensive Employee Experience Management System (ExMS) to monitor, predict, and enhance employee well-being.
  • Ensure data privacy by implementing strict separation and security measures, with employees retaining ownership of their data.
  • Create a multi-platform application accessible via web and mobile devices, including smart wearables integration.
  • Design a flexible activity framework allowing organizations to add and customize engagement activities based on their needs.
  • Implement engaging, modern user interfaces with multi-language support, including right-to-left language adaptations.
  • Integrate with third-party communication, localization, and feature management tools to support seamless operations.
  • Deliver anonymized, grouped insights to HR teams to inform strategies without compromising individual privacy.

Core Functional Requirements for the Employee Experience Platform

  • Development of web and mobile applications with modern UX, including support for multiple languages and RTL layouts.
  • Daily activities and surveys designed by behavioral psychologists, with flexible domain modeling for client-specific activities.
  • Integration of wearable device support (e.g., smartwatch, voice assistants) for activity completion.
  • A secure, privacy-by-design data architecture with data segmentation in microservices and controlled access to sensitive data.
  • Authentication via magic links (passwordless login) to improve user experience.
  • Insight dashboards with animated graphs and charts, providing grouped and anonymized data views for HR and employees.
  • Localization management through cloud-based systems to support multi-language and RTL formats.
  • Feature flag management for iterative development and roll-out.

Preferred Technologies and Architectural Approach

.NET for backend services
React for web applications
Flutter for mobile app development
Terraform and Kubernetes for infrastructure as code and deployment
Microsoft Azure for cloud hosting and resource security

External Systems and APIs for Seamless Functionality

  • Email API platforms for user notifications
  • Localization and translation management systems
  • Feature toggle and flag management tools
  • Wearable device APIs and voice assistant integrations

Non-Functional Requirements for System Robustness and Security

  • Scalability to support increasing user base and activity data volume
  • High performance with responsive interfaces across platforms
  • Robust security protocols aligned with privacy by design principles
  • Data confidentiality and access controls with detailed audit logging
  • Localization support for at least 7 languages, including RTL languages

Projected Business Benefits and Success Metrics

The platform is expected to enable organizations to more accurately assess employee well-being and engagement, leading to targeted interventions. With a focus on data privacy and user engagement, the solution aims to improve employee participation rates and generate actionable insights. Anticipated outcomes include improved mental health, increased productivity, and more effective HR strategies, ultimately delivering measurable enhancements in organizational performance and employee satisfaction.

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