Assessing 360 Feedback and Preparing Reports

Assessing 360 Feedback and Preparing Reports addresses the challenge of interpreting large volumes of feedback data collected through performance and development programs. Manual analysis of open ended responses and rating scales is time consuming and often inconsistent across evaluators, leading to delayed insights and subjective conclusions. The platform automates feedback analysis to deliver structured and repeatable assessment outcomes.

The solution is built on an AWS native architecture designed for secure text processing, contextual analysis, and scalable report generation. Feedback data is ingested and stored using Amazon S3, while Amazon Comprehend analyzes textual responses to identify themes, sentiment, and patterns. Large language models hosted on Amazon Bedrock or Amazon SageMaker synthesize insights and generate structured assessment narratives. AWS Lambda orchestrates the end to end processing workflow, and Amazon DynamoDB can be used to manage assessment states and report versions.

Security and governance are enforced through AWS Identity and Access Management for role based access control and AWS Key Management Service for encryption of data at rest and in transit. Amazon Virtual Private Cloud provides network isolation when required, and Amazon CloudWatch enables monitoring, logging, and audit visibility. Secure APIs exposed through Amazon API Gateway support integration with HR systems, survey platforms, and reporting tools.

By automating feedback assessment and report generation the platform reduces evaluation effort, improves insight quality, and enables organizations to act more effectively on feedback outcomes.