Run faster research synthesis

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.

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.

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.

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.

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. 

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.

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.