Accelerate research synthesis with AI-powered Miro Flows
This template is for research, product, and design teams who want to synthesize insights faster, without losing rigor, context, or collaboration.
Powered by Miro Flows and Miro Sidekicks, this multi-step workflow helps your team turn research inputs like PRDs, interview notes, brainstorms, and company context into clear, actionable insights and polished research outputs, all directly on the canvas.
👉 Learn more about the Research Synthesis AI Playbook:
https://miro.com/ai-playbooks/research-synthesis/
🎥 Watch the step-by-step walkthrough video:
https://www.youtube.com/watch?v=Ywdiq2fU9RQ
Who this template is for
UX and user research teams
Product managers and product designers
Insights and strategy teams
Cross-functional product teams
Teams scaling research with AI support
Whether you’re synthesizing early discovery research or consolidating findings from ongoing studies, this template gives you a structured, repeatable way to move from raw inputs to meaningful insights.
Why you’ll love it
Faster synthesis, less manual work: Turn raw research into insights in minutes
AI-powered, human-in-the-loop: Combine AI acceleration with expert judgment
Built for collaboration: See inputs, prompts, models, and outputs together on the canvas
Flexible and customizable: Adapt workflows, prompts, and artifacts to your research practices
Easy iteration mid-flow: Update artifacts at any stage and reflect changes downstream
What this template helps you create
Interactive, editable prototypes for research feedback
Visual assets to support concept testing
Research goals and planning documentation
Participant journey maps and research diagrams
User research questions and interview guides
A synthesized research readout or slide deck
How to use the template
Click Use template to instantly deploy the research synthesis flow
Add your research inputs — documents, brainstorms, transcripts, and context
Run the flow to generate connected research artifacts
Collaborate with AI Sidekicks to deepen synthesis and surface insights
Iterate mid-flow and re-run downstream steps to refine your research outputs
