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Canvas

The Canvas in Leapfrog is a visual workspace for organizing, mapping, and analyzing qualitative research data. It enables users to create visual overviews, identify patterns, and leverage AI tools for clustering and summarization.

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Creating a Canvas

• Navigate to a workspace.
• Click New Canvas in the top right corner to create a blank canvas.

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Adding Data

• Use the Add Data button to select and drag documents or quotes onto the canvas.
• Each item becomes a data node that can be organized within the workspace.

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Canvas Elements

• Data Nodes: Represent individual pieces of information (e.g., quotes, insights) added from documents or imports.
• Text Elements: Add custom text for labels, notes, or context.
• Paths: Draw connections between data nodes to map relationships.
• Notes: Annotate data points or connections for additional context.
• Themes: Group related notes or data nodes. Themes can be created manually or generated automatically via AI clustering.

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AI Integrations

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Clustering

• Select multiple data nodes and use the Cluster option to group related items using AI.
• Each cluster is annotated by the AI to explain the grouping rationale.

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Summarization

• Select a cluster or data nodes and use the Summarize option to generate concise summaries and key takeaways using AI.

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Usage Steps

1. Select data nodes to analyze.
2. Use Cluster to group related data points.
3. Review AI-generated annotations for each cluster.
4. Select a cluster and use Summarize to generate a summary.
5. Refine summaries or request alternatives as needed.

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Benefits

• Reduces manual work in organizing and interpreting large datasets
• Provides transparency into AI-driven groupings and summaries
• Supports efficient identification of patterns and key insights