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Miro
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Introduction
Miro is an AI-powered innovation workspace, it bridges the gap between unstructured creativity and structured execution, offering a unified platform where distributed teams can collaborate in real time or asynchronously. By combining an infinite digital canvas with intelligent automation, granular integrations, and purpose-built workflows, Miro enables organizations to accelerate ideation-to-implementation cycles. This canvas supports attaching documentation and mapping dependencies without spatial constraints. The canvas intelligently arranges content through AI-driven suggestions, automatically grouping related sticky notes and optimizing diagram layouts. With native integrations and customizable templates, Miro functions as a chameleon platform that molds itself to organizational needs. The template library spans design thinking frameworks that teams can modify without developer assistance.
Key Features
- Infinite Collaborative Canvas: Provides a limitless digital whiteboard where multiple users can work together in real time. The canvas supports the addition of various elements including sticky notes, text, shapes, and freehand drawings to visualise complex ideas.
- Miro AI: An integrated artificial intelligence assistant that automates and enhances creation tasks. Its capabilities include generating entire diagrams like mind maps from text prompts, summarising information on sticky notes, and correcting grammar and spelling.
- Extensive Template Library: Offers a large collection of pre-built templates for various use cases such as project planning, brainstorming sessions, and user journey mapping. Users can select a template to structure their board and guide their collaborative process from the outset.
- Workshop and Facilitation Tools: Includes a suite of tools designed for running interactive workshops and meetings. Features such as a timer, a voting mechanism, and attention management tools help facilitators to manage group activities and gather structured feedback.
Uniqueness
Miro's AI capabilities act as a force multiplier across the collaboration lifecycle. The platform automatically clusters sticky notes by sentiment or keywords during retrospectives, surfaces relevant templates based on project context, and generates actionable summaries from async discussions. These features reduce manual overhead in synthesis phases, allowing teams to focus on strategic decision-making rather than administrative tasks. The limitless canvas accommodates everything from free-form brainstorming to structured project roadmaps. This canvas allows simultaneous manipulation of multimedia assets, data visualizations, and interactive widgets.
Frequently Asked Questions
Open-Source?
No
Registration Needed?
Yes
Installation Required?
No
AI-empowered?
NLP, Content Generation, and Workflow Automation
Specifications
M
URL:
Country or Region:
United State/Netherlands
Author(s):
RealtimeBoard Inc. dba Miro
License:
Freemium
Operating System(s):
Web
Language(s):
Multilingual
Registration Needed:
Yes
Installation Required:
No
Video Demonstration
User Guide
This guide outlines how to utilise Miro's key functionalities for collaborative work, from initial setup to advanced integrations and AI-powered features. (Access Date: 29 July 2025)
Access Miro Website
| a. | Navigate to the website: https://miro.com/; |
| b. | Select either the Log in or Sign up free button; |
| c. | Follow the on-screen instructions to sign in or create an account using a Google, Office365, or Slack account, or an email address. |
Create Diagrams on Canvas
| a. | Click the + Create new button on the main page; |
| b. | Select Diagram and then click Create team board; |
| c. | Add elements such as shapes, flowcharts, text boxes, frames, connections, and sticky notes from the toolbars; |
| d. | Click on an element to edit it using the tools in the context menu; |
| e. | Click the Share button; |
| f. | Enter a name for the board and click Save; |
| g. | Enter email addresses to invite team members or click copy team invite link to get a shareable link. |
Use Miro AI
| a. | Select a text element and click the Miro AI icon in the context menu; |
| b. | Choose an AI function from the dropdown list, such as Fix grammar and spelling or Translate; |
| c. | Click the Create with AI button from the left toolbar; |
| d. | Select a diagram type, such as Flowchart or Mind Map, from the AI menu; |
| e. | Select existing elements on the canvas to include them in the creation; |
| f. | Enter the requirements in the text field and press Enter; |
| g. | Click Apply to canvas to accept the changes; |
| h. | Click the Miro icon at the top-left of the webpage to return to the main page. |
Start with a Template
| a. | Click the Explore templates button on the main page; |
| b. | Browse categories or use the search bar to find a template; |
| c. | Click the chosen template and select Use template > Create team board; |
| d. | Fill in the template's sections with your team's information. |
Educational Scenarios
Educators' Perspectives
Learners' Perspectives
Research Coordination
A biology professor uses Miro to map a multi-year ecology study. Teams input field data via sticky notes, while AI organizes findings into timelines. The use of digital sticky notes for data input aligns with the concept of distributed cognition, where knowledge is spread across individuals and tools, allowing for more efficient information processing and synthesis. The visual representation of data on a timeline can help researchers identify temporal patterns and correlations that might be less apparent in traditional data formats. This aligns with the principles of FAIR (Findable, Accessible, Interoperable, and Reusable) data, which are becoming increasingly important in scientific research. The visual nature of the Miro board can facilitate interdisciplinary communication, making complex ecological concepts more accessible. It allows for real-time data sharing and analysis, which can accelerate the pace of scientific work.
Interactive Course Design
An instructional designer creates interactive syllabi on Miro. Students vote on topics via dot voting and exported boards integrate with the university's LMS for semester-long tracking. The use of dot voting for topic selection empowers students to have a voice in their learning journey, promoting student agency and motivation. This approach resonates with self-determination theory in education, which posits that autonomy, competence, and relatedness are key factors in intrinsic motivation. By allowing students to influence course content, educators can increase engagement and ownership of the learning process. The integration of Miro boards with the university's Learning Management System (LMS) represents a step towards creating a more seamless and interconnected learning ecosystem. This integration aligns with the principles of learning analytics, allowing for real-time tracking of student engagement and progress throughout the semester. It also allows for greater flexibility in course content, enabling the instructor to adapt to students' interests and needs throughout the semester.
Grant Proposal Visualization
Researchers draft a grant proposal using Miro's flowchart templates. AI generates technical diagrams from text descriptions. Role-based access ensures editing rights during collaborations. The use of flowchart templates helps researchers articulate complex research methodologies and project timelines in a clear, visual format, which can enhance the comprehensibility and appeal of grant proposals. The integration of AI for generating technical diagrams from text descriptions potentially reduces the time and technical expertise required to create high-quality visual aids. It also ensures consistency in visual representation across the proposal, which can enhance the overall quality and professionalism of the submission. The implementation of role-based access in the collaboration process addresses important aspects of research ethics and data security. It supports efficient division of labor and version control in proposal development. Moreover, the use of digital collaboration tools in grant writing can facilitate interdisciplinary research by allowing experts from different fields to contribute seamlessly to the proposal.
Collaborative Thesis Development
A group of graduate students utilize Miro's capabilities for developing and presenting their theses. The use of individual boards for literature reviews, methodology planning, and data analysis highlights the modular approach to research, allowing students to compartmentalize and manage complex tasks effectively. The AI-powered canvas generates mind maps from their notes, visualizing connections between concepts.By externalizing complex information into visual formats, students reduce the cognitive load associated with processing and organizing large amounts of data. The AI-generated diagrams and flowcharts enhance the visual appeal of their final presentations, making them more engaging and easier to comprehend for audiences. Moreover, the use of pre-built templates and AI-generated visuals supports the idea of scaffolding in education. These tools provide a structure that guides students through the complex process of thesis development, gradually allowing for more independence as they become more proficient.
Virtual Study Groups
Medical students discuss anatomy on Miro. AI transcribes recorded discussions into study guides, while integrations pull 3D models from Google Drive for annotation. Integrations that pull 3D models from Google Drive for annotation highlight the importance of interactive and multimedia resources in medical education, as they provide more realistic and tangible representations of anatomical structures. This is particularly relevant in medical education, where spatial understanding of anatomical structures is crucial. The ability of AI to transcribe recorded discussions into study guides demonstrates the role of technology in automating and enhancing note-taking processes, allowing students to focus on understanding the material rather than on capturing every detail. By providing easily accessible summaries of discussions, students can review key concepts multiple times, enhancing long-term retention of information. Students take an active role in organizing their study sessions, choosing discussion topics, and creating their own learning resources, which are key aspects of metacognition and self-directed learning.
Design Thinking Competitions
Business students participating in design thinking competitions utilize Miro's customer journey templates, showcasing the alignment of educational tools with industry practices. The use of AI to analyze customer personas and develop upgrade plans for products demonstrates the integration of data-driven decision-making in business education. The competitive element also introduces aspects of gamification in education, which can increase motivation and engagement. By engaging in such competitions, students are applying theoretical knowledge to practical scenarios, which aligns with experiential learning models that advocate for learning through reflection on doing. Moreover, the ability to visualize customer journeys and improvement plans through templates and diagrams supports strategic thinking and communication skills, which are essential competencies in the business field. By using these tools in the context of case competitions, students are engaging in problem-based learning, a pedagogical approach that enhances critical thinking, creativity, and real-world problem-solving skills.