A user creates or joins a board, selects a template or starts with a blank canvas, then adds visual and structured content such as sticky notes, diagrams, documents, tables, images, and files. Teammates collaborate in real time, while Miro AI can organize content, summarize discussions, generate diagrams or other formats, and connect board context to external tools.
What is Miro?
Miro is a collaborative visual workspace centered on an infinite canvas. A team can use a board to collect ideas, run a workshop, map a customer journey, design a product, synthesize research, document a process, create a roadmap, or present a plan. Unlike a conventional document editor, the board can combine freeform visual content with structured formats such as tables, timelines, Kanban boards, slides, and documents.
The product is designed for work that benefits from shared visual context. Participants can add sticky notes, text, shapes, images, files, diagrams, and other content while collaborating in real time. Miro also includes facilitation tools such as templates, timers, voting, comments, presentation controls, screen sharing, and attention management.
How Miro's AI fits into the workspace
Miro AI is not primarily a separate chatbot. It works on or alongside board content, so its usefulness depends on the information a team has placed in the workspace. Users can select content or provide prompts to summarize discussions, cluster or organize ideas, generate diagrams and mind maps, create tables, translate content, produce documents, and generate images. AI can therefore help move a board from an early collection of ideas toward a more structured output.
Miro also provides AI Workflows through features such as Flows and Sidekicks. These can apply multi-step operations to board context and support repeatable transformations, such as turning research notes into structured tables or converting workshop material into summaries and other deliverables. The exact features, model availability, and usage allowances vary by plan, region, and feature.
What people use Miro for
Workshops and collaborative meetings
Miro is well suited to remote or hybrid workshops in which participants need to contribute ideas, vote, group responses, and review results together. A facilitator can combine a prepared template with timers, comments, presentation controls, and structured follow-up work on the same board.
Product, UX, and service design
Product and design teams can use Miro for user journeys, service blueprints, user flows, wireframes, roadmaps, product discovery, and concept development. The canvas is useful when the work is still exploratory and relationships between ideas matter more than a fixed document structure.
Research and feedback synthesis
Teams can place interview notes, customer feedback, documents, and other research material on a board, then organize themes and convert findings into diagrams, summaries, tables, or presentations. Miro is particularly useful for making the reasoning behind a conclusion visible to a group, although users should still verify AI-generated summaries against the underlying research.
Planning and process visualization
Miro supports roadmaps, Kanban boards, timelines, process diagrams, system maps, and other planning formats. Integrations with services such as Jira, Asana, Confluence, GitHub, Slack, Microsoft Teams, Zoom, Google services, Salesforce, Trello, and other workplace tools can connect visual planning with operational systems.
What distinguishes Miro from other AI productivity tools?
Miro's defining feature is the shared visual canvas, not conversational interaction alone. A general-purpose assistant such as ChatGPT is better suited to direct question-and-answer work, while Miro is designed for a group that needs to see, manipulate, and discuss material together. It also differs from a document-centered workspace such as Notion AI: Miro places more emphasis on spatial arrangement, workshops, diagrams, and visual synthesis, even though both products support documents and AI-assisted organization.
Miro can also sit alongside specialized presentation and workflow tools. For example, Gamma focuses on generating presentations, documents, and web pages, while Miro is more focused on the collaborative process that produces and organizes ideas. Miro's API, SDKs, marketplace apps, embeds, and MCP Server connections make it possible to connect board-based work with other software and external AI clients.
Access, pricing, and limits
Miro has a Free plan with unlimited team members, up to three editable boards, core canvas formats, limited AI access, and limited MCP usage. Free boards have more restricted privacy and sharing controls than paid plans, so the free tier is most appropriate for basic experimentation or small-scale collaboration.
Paid plans include Starter, Business, and Enterprise. Starter is publicly listed at $8 per member per month when billed annually. Business is listed at $20 per member per month when billed annually or $25 per member per month when billed monthly, with a 14-day trial. Paid plans generally require a minimum purchase of two licenses, while Enterprise pricing is custom. Prices and included features can change.
AI access is allocated by plan. The supplied pricing information lists 25 AI credits per member per month for Starter and 50 for Business, with custom allocations for Enterprise; Free access is limited. MCP call limits are also plan-dependent, listed as 100 daily calls for Free, 500 for Starter, 2,000 for Business, and 10,000 for Enterprise. These limits make the plan structure relevant for teams that expect frequent AI or external-tool usage.
Platforms and integrations
Miro is available in supported web browsers, Windows and macOS desktop applications, and iOS and Android apps. Mobile browsers are generally more restricted than the mobile applications, and some mobile editing capabilities differ from the desktop experience. Boards can also be embedded in supported services and websites.
For technical teams, Miro offers a REST API, developer platform, SDKs, marketplace apps, Live Embed, webhooks, and MCP connections. This allows boards to be incorporated into internal workflows or exposed to compatible external AI tools. The integrations are most useful when a board is part of a larger process involving project tracking, communication, research, or documentation.
Privacy and data considerations
Miro processes account information, usage data, board content, and AI interaction data under its privacy policy and applicable customer agreements. Board content may include text, files, images, video, audio, and other material. Data residency and processing locations vary according to configuration, region, model, and plan.
Miro's current AI security guidance states that customer data submitted to Miro AI is not used to train or refine models. Its AI terms describe different consent or objection mechanisms depending on the applicable agreement and plan, with stronger opt-in controls available to Enterprise customers under applicable enterprise terms. Teams handling confidential research or customer information should review the relevant plan documentation, administrative controls, retention terms, and data-processing agreement before deployment.
Limitations
- It is not a general-purpose chatbot: Miro's AI is most useful when working with board content and collaborative workflows, rather than as a standalone conversational assistant.
- Large boards can become difficult to manage: The flexibility of an infinite canvas can create complexity when many teams, objects, or workstreams accumulate in one workspace.
- Important controls are plan-dependent: Board privacy, administration, governance, AI allowances, integrations, and enterprise security capabilities vary by subscription.
- Mobile use is more limited: The desktop and browser experience remains more complete than mobile access for some editing and collaboration tasks.
- It does not replace specialized tools: Miro is not a full project-management system, transcription service, advanced spreadsheet, document-management platform, or professional image and video editor.
- AI output requires review: Summaries, diagrams, classifications, and other generated content can reflect incomplete or ambiguous board information and should be checked before being used as a decision record.
Who should use Miro?
Miro is a good fit for distributed and cross-functional teams in product management, design, engineering, marketing, consulting, education, research, and operations. It is especially useful for workshops, product discovery, service design, research synthesis, process mapping, roadmaps, and planning sessions where several people need to work on the same visual material.
It is a weaker fit for someone who wants only an AI writing assistant, a focused research chatbot, a dedicated meeting transcription tool, or a highly structured project-management application. Teams should also consider the seat-based cost, plan-specific limits, and the need to establish governance for sensitive board content.
