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Development of a Mobile and Web-Based Feedback Management Platform for Oil & Gas Operations
  1. case
  2. Development of a Mobile and Web-Based Feedback Management Platform for Oil & Gas Operations

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Development of a Mobile and Web-Based Feedback Management Platform for Oil & Gas Operations

nix-united.com
Energy & natural resources

Challenge

National Energy Corporation faces challenges in effectively monitoring and managing the quality of work performed by its extensive workforce and third-party vendors. Existing feedback collection methods are inefficient, particularly in areas with unreliable internet connectivity. There is a need for a solution that enables quick, consistent feedback capture and facilitates data-driven improvements in employee performance and operational processes.

About the Client

A large oil and gas production company managing numerous wells and a significant workforce, requiring efficient quality monitoring from employees and third-party vendors.

Project Objectives

  • Develop a mobile and web platform for streamlined feedback collection and analysis.
  • Enable quick and easy feedback exchange between managers and employees/vendors.
  • Provide a mechanism for capturing feedback in areas with limited or no internet connectivity.
  • Implement a machine learning model to automatically highlight action points within transcribed feedback.
  • Offer comprehensive reporting and analytics capabilities to track performance trends.
  • Improve overall employee performance and service quality.

Functional Requirements

  • Voice recording and automatic transcription.
  • Sentiment analysis of feedback text.
  • Action point extraction from transcribed feedback.
  • Email integration for feedback sharing.
  • Mobile app functionality for offline recording and syncing.
  • Web dashboard for feedback monitoring and analysis (KPIs, trends, top performers).
  • User role management (managers, employees, administrators).
  • Search and filtering capabilities for feedback records.

Preferred Technologies

Swift (iOS Mobile App)
Python (Backend, Machine Learning)
JavaScript (Web Application)
AWS (Cloud Infrastructure)
IBM Speech to Text (Speech Recognition)
spaCy (NLP Library)

Integrations Required

  • Email service (e.g., SMTP) for feedback distribution
  • Potentially HR system for employee data integration (future phase)

Key Non-Functional Requirements

  • Offline functionality for recording and syncing feedback.
  • Scalability to handle a large user base and volume of feedback data.
  • High security to protect sensitive feedback information.
  • Performance: Fast feedback transcription and dashboard loading times.
  • Reliability: Consistent and accurate feedback processing.

Estimated Impact

The implementation of this platform is expected to significantly improve communication efficiency, enhance performance monitoring, and facilitate data-driven decision-making. By streamlining feedback collection and analysis, National Energy Corporation can proactively address performance gaps, improve service quality, and foster a culture of continuous improvement. The insights gained from the platform will enable better resource allocation and strategic planning.

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