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Modernization of Employee Engagement Platform for Scalable Communication
  1. case
  2. Modernization of Employee Engagement Platform for Scalable Communication

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Modernization of Employee Engagement Platform for Scalable Communication

neoteric.eu
Business services
Human Resources
Information technology

Platform Limitations Hindering Organizational Communication

The acquired Latch platform suffered from technical instability, poor usability, and lack of scalability. Admins faced multi-step workflows, manual processes hindered growth, and the architecture couldn't support large user volumes or advanced analytics capabilities.

About the Client

Management consultancy specializing in performance strategy, employee engagement, and innovation through technology-enabled solutions

Strategic Modernization Goals

  • Create a scalable, cloud-native communication platform
  • Improve user engagement through intuitive interface design
  • Automate manual administrative tasks
  • Enable real-time sentiment analysis and actionable insights
  • Support enterprise-level scalability for global organizations

Core System Capabilities

  • Redesigned admin panel with streamlined workflow
  • Real-time sentiment analysis integration
  • Automated message delivery pipelines
  • Advanced filtering for campaign segmentation
  • Social engagement features (comments, reactions)
  • Community activity feed

Modern Technology Stack

React
TypeScript
NestJS
AWS
Terraform

Third-Party System Integrations

  • Expert.ai (NLP analysis)
  • Amplitude (product analytics)
  • Klaviyo (email automation)

Operational Requirements

  • Auto-scaling serverless architecture
  • High-availability deployment
  • Enterprise-grade security controls
  • Sub-second API response times
  • Multi-tenancy support

Expected Business Outcomes

Enable 70%+ employee participation rates, reduce administrative overhead by 60%, and support organizations with 10,000+ employees through scalable architecture. Provide real-time insights for data-driven leadership decisions and improve communication effectiveness through automated sentiment analysis.

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