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Turn research into a shared direction

Pull outputs from Claude, NotebookLM, or any research tool onto one canvas. Your team reviews the findings together, surfaces what matters, and commits to a direction — then send the insights straight to your roadmap, specs, or next AI prompt.
Miro Research Synthesis
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Build stronger products backed by research your whole team can act on

Bring all your research together in one place

Pull every transcript, survey, and interview from Granola, Amplitude, Notion and more onto one canvas — so you can spot patterns and connect the dots across all your data.

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Give your whole team access to the big picture

Use AI Flows and Sidekicks to create outputs — personas, journey maps, and insight reports — that give anyone on your team instant access to what the research is saying.

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Turn insights into decisions and actions

Go straight from insights to action — update your roadmap, write a PRD, or build a prototype to align on a solution. You can even push actions back to your AI coding tools like Claude Code and Cursor.

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Watch how UX Researcher Deniz runs end-to-end user research projects in Miro

Everything your team needs to gather, analyze, and act on research — all in one canvas.

Research AI Connectors

Pull research from any tool

Contextualize data and UX insights from multiple tools on a single board, through integrations with leading research platforms like UserTesting and Typeform, and BI systems like Amplitude. Bring parts of research from each platform to create a single story.

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Generate personas, journey maps, and reports

Use AI Flows and Sidekicks to cluster themes, summarize findings, and turn raw data into the artifacts your whole team can read, react to, and build on.

Talktrack Research Report

Align your team on insights and actions

Run live polls and votes with Engage, or share a Talktrack walkthrough of your board — so your whole team aligns on findings, whether they're in the room or not.

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Push insights to your next step

Send decisions and outputs straight to your roadmap, PRD, or AI coding tools like Claude Code and Cursor — without leaving Miro.

Integrated with your favorite tools

We get it — your team's used to working a certain way for specific workflows. It's why we have tools for everything from project management and task tracking to communication and data visualization. Connect Miro to 250+ of your corporate tools.
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Related pages

What is Research Synthesis?

Research synthesis is the process of combining findings from multiple studies or data sources to identify patterns, themes, and insights. It is a crucial step in making data-driven decisions. In Miro, research synthesis is made easier with affinity mapping tools, allowing you to group sticky notes, tag insights, and transform raw data into actionable strategies collaboratively.

Tips on how to run insights synthesis

1. Define the research plan

Choose from templates to outline business needs, map methodologies, structure data collection, and plan analysis.

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2. Gather data and sources

Collect all your research materials, notes, and sources as sticky notes, uploaded files, or by leveraging integrations.

3. Look for patterns and trends

Group related ideas together using tables, frames, and shapes. Speed up synthesis by using AI-powered summaries and clustering.

4. Communicate the findings

Invite team members to your Miro board to collaborate, share insights, and discuss your research synthesis in real time. Or leverage Talktrack for async communication.

5. Keep research top of mind

Embed the research reports, presentations, and visualizations where teams and stakeholders can easily find them. Rest assured it’ll always be synced to the latest version.

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Research and insights synthesis FAQs

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What is research synthesis?

Research synthesis refers to the process of integrating and analyzing information from multiple sources to derive meaningful insights or conclusions. It involves gathering data, evaluating studies, and synthesizing findings to generate new knowledge or inform decision-making.

Why is research synthesis important?

Research synthesis is crucial because it helps in organizing and making sense of vast amounts of information available in various studies or datasets. It enables researchers and practitioners to identify trends, gaps, and areas for further investigation.

What methods are used for research synthesis?

Common methods used in product discovery research include user interviews, surveys, usability testing, ethnographic research, competitive analysis, journey mapping, and prototype testing. These methods help teams gather qualitative and quantitative data, understand user behavior, identify pain points, and uncover opportunities for innovation.

What are the phases of research synthesis?

Data Extraction: Extract relevant information from each selected study, such as study design, sample size, methodology, findings, and any other relevant data. Organize and catalog the extracted data to facilitate further analysis.  Data Analysis: Depending on the nature of the studies and your research questions, you may perform various types of analyses, such as statistical analysis, content analysis, thematic analysis, or meta-analysis (if applicable). Identify patterns, trends, and common themes across the studies. Synthesize the findings of the individual studies to draw broader conclusions or insights.  Interpretation and Synthesis: Analyze the synthesized findings to answer your research question or address your research objective. Identify areas of consensus, divergence, or gaps in the literature. Draw conclusions and make recommendations based on the aggregated evidence. Reporting and Communication: Prepare a comprehensive synthesis report that includes the research question, methodology, findings, conclusions, and recommendations. Clearly communicate the synthesis process and results to your intended audience, whether it's a research community, policymakers, practitioners, or the general public.  Review and Validation: Have your synthesis reviewed by peers, experts, or colleagues to ensure the accuracy, validity, and reliability of your approach and findings.

How does Miro help my team collaborate on research synthesis?

Miro brings research teams and stakeholders together in one secure, visual workspace. Teams can centralize notes, user feedback, and data sources, before co-creating directly on the infinite canvas. 

Real-time and async collaboration features ensure insights stay connected to conversations, too, reducing the need for extra meetings.

Does Miro have research synthesis examples or templates I can use?

Yes. The Miroverse is our community-driven library, housing thousands of templates built and used by other Miro users. This means you never have to start from scratch and can find inspiration quickly. 

Can Miro handle large or complex research synthesis projects?

Absolutely. Miro is built to manage research at any scale, from a few interview notes to thousands of data points across multiple teams. Large datasets can be organized, tagged, and synthesized using AI clustering, while over 160 integrations keep everything in sync.

Can I adapt Miro to fit my research workflow for research synthesis projects?

Miro is a flexible, customizable workspace that can be personalized in any way you see fit. Create templates for recurring research methods and reuse them across teams, or use Miro Blueprints for pre-configured Spaces with boards, tools, and formats for specific processes. 

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