Overview
360 Feedback Assessment and Reporting Solution addresses the challenge of interpreting large volumes of qualitative and quantitative feedback from employees, managers, and stakeholders. Manual analysis of open-ended responses and rating scales is time consuming and prone to inconsistent evaluations, delaying insights and introducing subjectivity.
The platform automates the analysis of multi-source feedback using AI models to identify recurring themes, sentiment, strengths, and development areas. Large language models hosted on Amazon Bedrock or Amazon SageMaker synthesize insights and generate structured, repeatable assessment narratives. Textual responses are processed and analyzed using Amazon Comprehend, while AWS Lambda orchestrates workflows for ingestion, processing, and report generation. Feedback data and assessment outputs are securely stored in Amazon S3 and Amazon DynamoDB, ensuring version control and traceability.
Security and governance are embedded through AWS Identity and Access Management, encryption using AWS Key Management Service, and network isolation via Amazon Virtual Private Cloud. Amazon API Gateway enables integration with HR, survey, and reporting systems, while Amazon CloudWatch provides monitoring, logging, and operational visibility. By automating feedback assessment and report generation, organizations reduce manual effort, enhance evaluation consistency, and accelerate actionable insights for performance and development initiatives.
Highlights
- Analyzes feedback from peers, managers, and stakeholders consistently
- Identifies key themes, strengths, and development opportunities
- Generates structured and repeatable assessment reports
Details
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