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Miro Assist

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Freemium

AI feature in Miro that automates organizing sticky notes, mind maps, and plans, boosting collaborative design sprints and brainstorming.

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What is Miro Assist?

Miro Assist is an AI-powered innovation co-pilot integrated into the Miro visual workspace, leveraging board context to generate content, extract insights, and automate tasks. It functions as a chat-like module using large language models to answer questions, create sticky notes, presentations, images, diagrams, and more from simple prompts. Previously known as Miro AI, it enhances collaboration on desktop, mobile, and interactive displays with features like mind mapping, sequence diagrams, and note clustering.

Designed for teams in product development, UX design, project management, and creative workflows, Miro Assist targets users needing to rapidly ideate, visualize, and execute ideas without manual heavy-lifting. It supports real-time collaboration, reducing biases in data synthesis and speeding up processes like research analysis or retrospective summaries.

Its value lies in boosting productivity by automating repetitive tasks, providing smart suggestions, and enabling breakthrough innovation faster. By integrating with tools like Draw.io and Azure DevOps, it streamlines workflows, making complex information accessible and actionable for diverse teams.

Key Features

check_circleAI-powered chat interface integrated into Miro boards for contextual queries and content generation like sticky notes, presentations, and images

check_circleInsight extraction from research, retrospectives, or brainstorms, generating summaries, action lists, and presentations

check_circleAI diagramming to create sequence diagrams and process maps from simple text descriptions

check_circleMind mapping with automatic expansion of ideas, questions, and topics

check_circleSmart suggestions, note clustering by keyword/sentiment, and image generation from text

check_circleAI Sidekicks for real-time feedback, next steps, data validation, and content refinement

Use Cases

lightbulbUncovering insights from team retrospectives, brainstorms, or surveys to align stakeholders

lightbulbGenerating user story maps, sequence diagrams for UX design and process mapping

lightbulbCreating mind maps for problem-solving, planning, and brainstorming

lightbulbDrafting presentations, action lists, and visuals to accelerate product innovation

At a Glance

Pros & Cons

Pros

+ Context-aware AI uses board content for relevant, accurate outputs

+ Saves time on diagramming, summarization, and content creation

+ Enhances collaboration with real-time insights and auto-generated visuals

+ Reduces human error and biases in data synthesis

+ Intuitive access via command palette, context menus, and smart suggestions

Cons

- Requires Miro platform access, potentially limiting standalone use

- Dependent on prompt quality for optimal AI outputs

- May need updates for evolving processes, tracked via board history