Automatically generate data-driven retrospectives using Make.com + AI

Introduction

Sprint retrospectives are critical for improving team performance—but they’re often rushed, subjective, and based on memory instead of data. PMs spend time gathering metrics, summarizing what happened, and trying to extract insights manually.

In this tutorial, you’ll build a Smart Sprint Retrospective Generator using Make.com that automatically pulls sprint data (tasks, velocity, bugs, delays), analyzes it using AI, and generates a structured retrospective document.

By the end, your retrospectives will be data-backed, consistent, and ready before the meeting even starts.

What You’ll Build

This system will:

• Pull sprint data from Jira, ClickUp, or Asana
• Calculate key performance metrics
• Identify patterns like spillovers, blockers, and delays
• Use AI to generate retrospective insights
• Produce a ready-to-use retro document
• Store retrospectives for future analysis

Tools You’ll Need

• Make.com — automation engine
• Project tool:
  • Jira / ClickUp / Asana
• Database:
  • Notion or Google Docs