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getting-started

Getting Started

Learn how to set up GitProductivity and start tracking your team's productivity.

Getting Started with GitProductivity

Welcome to GitProductivity! This guide will help you get up and running with our AI-powered developer analytics platform in just a few minutes.

Introduction

GitProductivity helps engineering teams measure real developer output by analyzing git metadata. Unlike simple commit counters, we estimate actual work delivered in workdays, giving you accurate insights into your team's productivity.

Our AI analyzes commit patterns, code complexity, file changes, and historical data to estimate the real work being delivered.

Prerequisites

Before you begin, make sure you have:

  • A GitHub, GitLab, or Bitbucket account
  • Admin access to at least one repository
  • A modern web browser with JavaScript enabled

Quick Start

Follow these steps to get started:

  • Sign Up for an Account

    Visit our homepage and click Start Free to create your account. You can sign up with your GitHub, Google, or email account.

  • Connect Your First Repository

    After signing up, you'll be guided to connect your first repository. Choose your Git provider and select the repositories you want to analyze.

    We support GitHub, GitLab, and Bitbucket - both cloud and self-hosted versions!

  • Wait for Initial Analysis

    Once connected, our AI will begin analyzing your repository data. Initial analysis typically takes 5-15 minutes depending on repository size.

  • Explore Your Analytics

    Navigate to your dashboard to see:

    • Team productivity metrics
    • Individual developer statistics
    • Workday estimates
    • AI boost recommendations
  • Understanding Your Data

    Workday Estimation

    We estimate work delivered in workdays - a normalized unit that represents one developer's full day of work. This accounts for:

    • Code complexity
    • File changes
    • Commit patterns
    • Historical benchmarks

    AI Boost

    Our AI analyzes your team's potential productivity gain from using AI tools like:

    • GitHub Copilot
    • Cursor
    • Claude Code

    AI boost is an estimation based on code patterns and complexity, not a guarantee of productivity improvement.

    Next Steps

    Now that you're set up, explore these features:

    Need Help?

    • Check our FAQ for common questions
    • Visit our Troubleshooting guide for issues
    • Contact support at support@gitproductivity.com

    Need Help?

    Get personalized support from our team to help you get started.

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