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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.