Automatically generates concise summaries of board content, meeting notes, or discussions by analyzing text across sticky notes, documents, and comments. Creates executive summaries that capture key points and decisions.
Analyzes unstructured sticky notes, ideas, or feedback and automatically groups them into thematic clusters, applies color coding, and creates logical structures like affinity diagrams or mind maps.
Transforms descriptive text or bullet points into professional diagrams such as flowcharts, process maps, timelines, or organizational charts with appropriate shapes, connectors, and layouts.
Generates creative ideas, suggestions, or solutions based on prompts or existing board content, helping teams overcome creative blocks and expand their thinking during brainstorming sessions.
Helps prepare meeting agendas, suggests discussion topics based on previous meetings, and automatically creates follow-up task lists and action items from meeting discussions captured on boards.
Generates custom templates, frameworks, or canvases based on team needs or project descriptions, setting up structured workspaces for specific methodologies like design sprints, retrospectives, or business model canvases.
Product managers use Miro Assist to synthesize customer feedback from various sources, automatically cluster feature requests by theme, and generate visual roadmaps. The AI helps prioritize initiatives by analyzing sentiment and frequency across feedback, then creates timeline visualizations that communicate the product strategy to stakeholders. This transforms weeks of manual analysis into hours of focused decision-making with clear visual outputs.
Design facilitators leverage Miro Assist to accelerate each phase of design sprints. During the 'Understand' phase, it summarizes research findings; in 'Ideate', it generates additional solution concepts; for 'Decide', it helps cluster and prioritize ideas; and in 'Prototype', it can create simple flow diagrams. This allows facilitators to focus on guiding the team rather than manual board management, making sprints more productive and inclusive.
Scrum masters and agile coaches use Miro Assist to analyze retrospective boards, automatically grouping similar feedback about what went well and what could improve. The AI identifies patterns across multiple retrospectives to surface recurring issues, generates actionable improvement items, and even suggests facilitation techniques for upcoming sessions. This helps teams move from discussion to action more quickly with data-driven insights.
Corporate trainers and educators employ Miro Assist to create interactive learning materials, generate discussion prompts from course content, and summarize participant contributions during virtual workshops. The AI can transform lecture notes into engaging visual activities, cluster student questions by topic for targeted follow-up, and create knowledge check exercises, making remote learning more engaging and personalized at scale.
Consultants use Miro Assist to rapidly synthesize client interviews, stakeholder inputs, and research data into coherent frameworks and recommendations. During client workshops, the AI helps organize real-time contributions, generates professional diagrams for presentations, and creates executive summaries that capture key insights and decisions. This enables consultants to deliver higher-quality outputs faster while maintaining strong client engagement throughout the process.
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