Enhancing Interpersonal Interactions with SurePeople’s Meeting Module

Business Problem

Effective communication and collaboration are critical for success in the modern corporate environment. However, organizations often face challenges such as:

  • Diverse Communication Styles: Employees need help communicating effectively due to varying preferences and styles.
  • Insufficient Customized Interaction Support: Generic communication tips must address individual needs.
  • Weak Team Cohesion: Teams need more understanding of team members to build strong relationships.
  • High Turnover Rates: Miscommunication and interpersonal issues not only lead to employee dissatisfaction but also significantly contribute to high turnover rates, posing a serious threat to organizational stability.

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Solution

In addressing SurePeople’s business problem of enhancing interpersonal interactions, Goml’s solution leverages advanced AI-driven techniques to offer tailored meeting tips:

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Customized Meeting Tips: The module processes user inputs, analyzing Prism profiles using Amazon EC2 with Lyzr SDKs and RAG Pipeline to deliver personalized meeting tips based on individual communication styles and personality traits.

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Continuous Improvement: Feedback is integrated into the system to enhance the accuracy of recommendations, with data management facilitated by MongoDB and workflow orchestration handled by Apache Airflow.

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Real-Time Processing: The system utilizes Docker and Data Processing APIs on Amazon EC2 to generate actionable insights in real-time, ensuring timely and relevant advice.

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Efficient Data Handling: Amazon S3 stores guides and profiles, while MongoDB Atlas manages vectorized data, ensuring scalable and effective data storage and retrieval.

Architecture

  • Use Amazon S3 to store guides, frameworks, Prism profiles, and meeting data.
  • Implement MongoDB for data storage, orchestrate data workflows with Apache Airflow, and use Webhooks for real-time data updates.
  • Deploy Amazon EC2 instances for running Lyzr SDKs, RAG Pipeline, Docker containers, and Data Processing APIs for transforming and analyzing data.
  • Use MongoDB for semi-structured data storage.
  • MongoDB Atlas for vectorized data and integrate real-time processing output with the Meeting Module and Generative APIs.
  • Manage user queries and metadata through Amazon API Gateway, which refreshes data from MongoDB/Airflow/Webhooks to Amazon S3.
  • Ensure seamless data flow from processing APIs to the static data warehouse and real-time processing outputs.
Outcomes

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The tailored insights fostered stronger relationships within teams, with a 40% increase in team cohesion scores.

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Improved interpersonal relationships and job satisfaction contributed to a 20% reduction in employee turnover.

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Employees felt more engaged and valued, with engagement scores rising by 30%.