In simple English
This tool collects customer feedback from app stores, web forms, and scraped sites. It stores all the feedback in one place on Amazon Web Services (AWS, a company that rents out computer servers). An artificial intelligence model reads the feedback and sorts it by mood and topic. You get a dashboard to view charts, chat with your data, and turn complaints into product plans. It costs money to run the cloud services it uses, and it takes time to set up.
What it is
A serverless application built with the AWS Cloud Development Kit (CDK, a framework for defining cloud infrastructure using code) that deploys a feedback data lake, processing pipeline, and React dashboard. It uses Amazon Bedrock (a managed service that runs large language models) to analyze customer sentiment and generate product requirement documents.
What it is good for
Product managers and solo builders who want to collect user feedback from many channels and let artificial intelligence summarize what users want. It removes the manual work of reading and categorizing hundreds of reviews.
- Automatically categorizes feedback and detects sentiment using language models.
- Includes a React dashboard with charts, AI chat, and project research workspaces.
- Extensible plugin architecture lets you add custom data sources.
- Requires an active AWS account and familiarity with cloud infrastructure deployment.
- Running cloud services and language models will incur ongoing costs on your AWS bill.
- Complex setup involving Node.js, Python, and Docker.
Manually reading app store reviews and customer support emails into a spreadsheet.
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git clone https://github.com/aws-samples/sample-voice-of-customer-datalake.git cd sample-voice-of-customer-datalake npm run install:all npm run build:layers npm run cdk:bootstrap npm run deploy:all