GE's AI Combinator Hackathon

In organizations with flat structures, the significant demands placed on managers to support their team members can be overwhelming. This proposal introduces an AI tool designed to enhance the effectiveness of quarterly conversations and the overall performance management process. Utilizing advanced Large Language Models (LLMs), this tool aggregates and analyzes data from various sources throughout the quarter—including workday events, peer feedback, peer rewards, and one-on-one meeting notes. It then synthesizes this information to generate a concise list of discussion topics for managers. Managers have the flexibility to review, modify, or augment these topics as needed. Subsequently, the tool crafts a structured conversation guide based on the "Crucial Conversations" framework, ensuring discussions are both impactful and efficiently managed.

The tool is designed to empower managers by:

• Streamlining preparation for quarterly conversations, allowing managers to concentrate on delivering constructive feedback and formulating action plans rather than compiling data.
• Mitigating biases, such as recency and confirmation biases, by consistently capturing and integrating key signals from multiple sources throughout the quarter.
• Enhancing fairness by uniformly collecting data for all team members, contributing to an equitable review process.
• Providing timely and relevant information to facilitate meaningful conversations.
• Encouraging the adoption of best practices in communication, as documented in professional guidelines.
• Ensuring team members receive consistent, valuable, and actionable feedback, fostering their growth and development.

This tool not only aims to optimize managerial efficiency but also to elevate the quality of interactions between managers and their teams, promoting a more supportive and effective organizational culture.

Dev Notes

This project uses Quarkus, the Supersonic Subatomic Java Framework.

If you want to learn more about Quarkus, please visit its website: https://quarkus.io/ .

Running the application in dev mode

You can run your application in dev mode that enables live coding using:

./mvnw compile quarkus:dev

NOTE: Quarkus now ships with a Dev UI, which is available in dev mode only at http://localhost:8080/q/dev/.

Packaging and running the application

The application can be packaged using:

./mvnw package

It produces the quarkus-run.jar file in the target/quarkus-app/ directory. Be aware that it’s not an über-jar as the dependencies are copied into the target/quarkus-app/lib/ directory.

The application is now runnable using java -jar target/quarkus-app/quarkus-run.jar.

If you want to build an über-jar, execute the following command:

./mvnw package -Dquarkus.package.type=uber-jar

The application, packaged as an über-jar, is now runnable using java -jar target/*-runner.jar.

Creating a native executable

You can create a native executable using:

./mvnw package -Dnative

Or, if you don't have GraalVM installed, you can run the native executable build in a container using:

./mvnw package -Dnative -Dquarkus.native.container-build=true

You can then execute your native executable with: ./target/demo20240215-1.0.0-SNAPSHOT-runner

If you want to learn more about building native executables, please consult https://quarkus.io/guides/maven-tooling.

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