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Analytics

Leapfrog analytics provides visualization and filtering tools for coded qualitative research data. Analytics enables identification of patterns, trends, and relationships in tags and quotes across research documents.

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Analytics Dashboard

The analytics dashboard is accessible from the Codes page in a workspace. It displays visualizations of tags and quotes created in research documents.

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Tag Chart Visualizations

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Chart Types

• Bar Chart: Displays tag frequency counts.
• Bubble Chart: Visualizes tag distribution with proportional bubbles.
• Network Chart: Shows relationships and co-occurrence between tags.

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Access

• Navigate to the Codes page in a workspace.
• Select the Tag Chart tab.
• Choose a chart type.

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Filtering and Customization

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Filtering Options

• Tag-based filters: Focus on specific tags or tag groups.
• Document field filters: Filter by document metadata (e.g., participant demographics, dates).
• Date range filters: Restrict analysis to specific time periods.
• Multi-criteria filters: Combine multiple filter conditions.

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Creating Filters

• Click the Filter button in the chart interface.
• Select filter type (tag, document field, date).
• Set filter criteria.
• Apply the filter.

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Document Field Filtering

• Filter by participant characteristics, research phase, user group, or document type using document fields.

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Tag Relationships

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Tag Co-occurrence

• Network Chart displays connections between tags.
• Thicker lines indicate stronger relationships (higher co-occurrence).
• Clusters represent related tag groups.

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Tag Distribution

• Bar Chart and Bubble Chart show tag distribution across research data.
• Filters can be applied to compare tag distribution across segments.

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Highlight Exploration

• Click any tag or data point in a visualization to view associated highlights (quotes).
• Highlights panel displays the full context of each quote.
• Click a highlight to navigate to its source document.

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Exporting and Sharing

• Use browser screenshot tools to capture visualizations.
• Export data to CSV for external analysis.
• Share direct links to filtered views with workspace collaborators.

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Use Cases

• Identify prevalent themes in user feedback.
• Compare feedback between user groups.
• Track theme evolution over time or across research phases.
• Map relationships between user needs or pain points.
• Collect supporting quotes for research findings.