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Development of an IoT-Enabled Feedback and Analytics Platform for Workplace Satisfaction
  1. case
  2. Development of an IoT-Enabled Feedback and Analytics Platform for Workplace Satisfaction

Development of an IoT-Enabled Feedback and Analytics Platform for Workplace Satisfaction

simform.com
Manufacturing
Business services
Consumer products & services

Challenges in Manual Feedback Collection and Limited Real-Time Insights

The client faces fragmented feedback processes relying on manual surveys and spreadsheets, leading to delays in insights and limited ability for real-time facility management. Geographic and timezone barriers complicate coordination across multiple regions, while unreliable data collection methods hinder actionable decision-making. These issues impede proactive employee engagement and facility improvements.

About the Client

A large-scale manufacturing enterprise seeking to modernize employee experience monitoring through real-time feedback collection and analytics.

Goals for Implementing an IoT-Driven Feedback and Analytics System

  • Achieve a 2x increase in feedback data logging efficiency via IoT solutions.
  • Enhance employee participation in feedback collection from 40% to at least 82%.
  • Reduce issue resolution time from 3 weeks to under 24 hours through real-time analytics.
  • Improve employee satisfaction scores by approximately 68% through responsive facility management.
  • Increase focus on impactful improvements, resulting in 30% cost savings by eliminating unnecessary work.

Core Functionalities for the Feedback and Analytics Platform

  • Deployment of smart IoT devices (beacons) in office and factory environments to trigger location-specific surveys on employee mobile devices.
  • A web interface for administrators to define, schedule, and customize feedback campaigns, questions, and intervals.
  • Real-time analytics dashboards displaying response patterns, trends, and detected issues, enabling immediate action.
  • High-availability cloud infrastructure capable of processing and storing large volumes of sensor logs and response data with scalable architecture.
  • Automated notification and alert systems for rapid issue detection and resolution.

Technology Stack and Architectural Preferences

Cloud computing platforms supporting high availability and scalability
Beacon-based trigger mechanisms for context-aware surveys
Web-based interfaces with responsive design for admin management
Real-time data processing frameworks

External System Integration Needs

  • Mobile device management for survey delivery
  • Facility management systems for issue tracking
  • Analytics and reporting tools
  • User authentication and role management systems

Critical Non-Functional System Attributes

  • System availability of 99.9% uptime with 24/7 accessibility across global regions
  • Capacity to handle millions of sensor logs and survey responses with minimal latency
  • Data security and privacy compliance (e.g., GDPR, local regulations)
  • Scalable architecture to accommodate future growth

Projected Business Impact and Benefits of the IoT Feedback Platform

The implementation of this IoT-enabled feedback system is expected to double sensor data logging efficiency, significantly increase employee participation, reduce problem resolution time from weeks to a day, and enhance overall employee satisfaction by up to 68%. Additionally, targeted, data-driven facility improvements will lead to approximately 30% cost savings by prioritizing impactful changes and streamlining operations.

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