Teams | Collaboration | Customer Service | Project Management

How To Create a Swimlane Diagram

Swimlane diagrams help you map complex processes and show exactly who owns what at every step. In this tutorial, we walk you through how to build one in Miro — from setting up lanes by team or function, to mapping tasks, decision points, and handoffs between teams. We cover how to use Miro's Swimlane Diagram template to get started fast, how to customize lanes for your specific workflow, and how to connect tasks with arrows to visualize dependencies and bottlenecks. You'll also see how to collaborate with your team directly on the diagram using comments, voting, and sticky notes.

Miro Flows: Accelerate Your Workflow from Idea to Final

Introducing Miro Flows, the feature designed to make your workflow faster than ever and accelerate the steps to your end result. Flows help you turn original ideas into concepts, execution plans, or presentations right away, ensuring context and momentum never slip. Flows go beyond individual productivity, they are here to accelerate entire teams and organizations. What used to take weeks and months now takes hours and minutes. Get into the flow of work now!

Forrester report: How transformation leaders can deploy AI for GTM teams

IT leaders now manage an average of 12 AI tools, which is a 2.4x increase in just the last three years. And yet 89% of AI usage inside large organizations is effectively invisible, suggesting many of these tools aren’t procured, monitored, or measured properly.

How We Work #1: Łukasz Sągol

Welcome to How We Work, a podcast hosted by Dominik Katz where we go from idea to impact. Each episode, we sit down with product leaders to unpack how they actually work across the product delivery lifecycle — how they discover, define, and deliver value. In this first episode, Dominik talks with Łukasz Sągol, Head of Intelligent Workflows, Integrations and Community at Miro. They dive into the rituals that keep his team aligned, how they scale product work, and how AI is shaping the way they build.

Miro Flows Tutorial: Turn Ideas into Execution in Hours

Miro Flows transforms how teams move from initial ideas to final execution. If you've ever had a great kickoff meeting only to watch momentum die three weeks later while everyone's confused about next steps, this changes everything. Imagine taking customer research notes and watching them automatically flow into insight reports, product roadmaps, go-to-market strategies, and leadership presentations, all while your team is still in the room together. No more switching between siloed tools, waiting days for async feedback, or spending weeks before realizing you need to start over.

Zero to App in Minutes: Automating Hackathons with Miro AI & MCP

Learn how to use Miro AI + MCP (Model Context Protocol) to turn visual ideas into a working application in record time. In this video, we walkthrough a complete "Agentic Workflow" designed for hackathons and rapid prototyping. We start by using Miro AI Workflows (Flows) to transform a simple idea into a comprehensive project brief, user stories, and high-fidelity mobile prototypes. Then, we leverage the Miro MCP server to give an AI agent (Claude Code) full context of our board to generate a production-ready Node.js app automatically.

Introducing Miro's MCP Server - Empower AI with Better Context to Build Faster

Your AI coding agents, now more powerful, connected to visual collaboration. With Miro's MCP server, you can now understand exactly what your codebase looks like, and translate your inputs to generate new code, instantly. Onboard faster onto existing codebases with Miro's MCP server - connect to Cursor, Claude Code, GitHub Copilot, AWS Kiro, OpenAI Codex, or any other tool and visualize your codebase directly as a diagram, document, or table, making it easier to understand and collaborate with your team to build on top of what already exists.

Bringing shared organizational context into the AI era with Miro's MCP Server

According to the IDC Annual Collaboration Study 2025, 72% of organizations report that “agentic AI functionality is key to collaborative application purchases,” yet uncertainty remains around how to ground it in real workflows and decisions.¹ At Miro, we believe AI performs best when it operates inside shared, integrated collaboration systems — not as a standalone tool. This is part of a broader shift in how work happens.