Gurubu

Live demo 👉 https://gurubu.vercel.app/

Simple, Fast, and Practical Task Estimation and Score Card Grooming

Agree with your teammates quickly and reliably! Start by setting up a room.

Gurubu is a tool designed to streamline task estimation grooming sessions and prioritize tasks using a room-based, user-friendly approach. With a single click, users can create a room, invite team members, and start estimating story points or voting on multiple metrics for score card grooming.

Features

• One-Click Room Setup: Quickly create a dedicated room for your task estimation or score card grooming session.

• User-Friendly Interface: Easily enter your name and join a room, making collaboration simple and efficient.

• Story Point Estimation: Streamline the process of estimating story points to better plan and manage your project.

• Score Card Grooming: Prioritize tasks effectively by allowing users to vote on multiple metrics.

• Jira Issue Importer: Import your Jira issues

• **Set Story Point to Imported Jira Issues***:

  1. your api token must have write access

  2. you must set the story custom field(jira default is customfield_10016)

  

Getting Started

Requirements

• Node.js and yarn (To manage project dependencies for the frontend and the backend)

Root Installation

• Run yarn at the root of the project to install git hooks.

Frontend Installation

1. Clone this repository to your local machine:

   https://github.com/Trendyol/gurubu.git

2. Navigate to the frontend directory:

   cd gurubu-client

3. Create .env variable root of the project and add this variable:

   NEXT_PUBLIC_API_URL="http://localhost:5000"

4. Install the dependencies:

   yarn 

5. Start the frontend application:

   yarn dev

The frontend application should now be running at http://localhost:3000.

Backend Installation

1. Clone this repository to your local machine:

   https://github.com/Trendyol/gurubu.git

2. Navigate to the backend directory:

   cd gurubu-backend

3. Create .env variable root of the project and add this variable:

   CLIENT_URL="http://localhost:3000"

4. Install the dependencies:

   yarn 

5. Start the backend application:

   yarn start

The backend server should now be running at http://localhost:5000.

Contributing

We welcome and appreciate contributions from the community. Whether it's reporting issues, suggesting improvements, or submitting code, your help is valuable. Thank you for being a part of our project!