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Analysis tool

The R3M platform provides a suite of analysis tools to help you explore, compare, and interpret your emotional activation results in depth. These tools are designed to make it easy to identify key insights, compare stimuli, and understand the drivers behind emotional responses.

Selecting cards to display​

  • Choose stimuli: Select one or multiple stimuli to display on the dashboard. You can select all stimuli from a sequence or pick specific ones for focused analysis.
  • Filtered totals: The dashboard updates to show totals based on your current selection, allowing you to create filtered averages or focus on specific groups.

Card management​

  • Remove a card: Temporarily removes a card from the dashboard total (does not delete it from the project).
  • Hide a card: Hides a card from view without affecting the dashboard total. Hidden cards can be redisplayed via settings.
  • Merge stimuli: Combine several stimuli for aggregated analysis.
  • Rename stimuli: Edit stimulus names for clarity or to reflect specific comparisons.

Comparison features​

  • Compare with: Benchmark a stimulus against the average (TOTAL) or another specific stimulus to highlight differences.
  • Comparison settings: Customize icons, display missing or “diamond” words, and adjust thresholds for significance.

Saving and managing configurations​

  • Save configurations: Store your current analysis setup (selected cards, filters, comparison settings) for future use.
  • Reset or delete: Return to the initial configuration or remove saved setups as needed.
tip

Always save your configuration after making changes to preserve your analysis setup.

Data filtering​

  • Apply filters: Use pre-established criteria (e.g., demographics, product attributes) to filter results for all cards or individual cards.
  • Manage filters: Change the order, rename, hide, or merge filter values for more readable and relevant analysis.

Analytics and synthesis​

  • Sub-target analysis: Automatically compare R3M scores across different subgroups (e.g., age, gender, user type).
  • Manual comparison: Duplicate cards and apply different filters to compare subgroups side by side.

Emotional drivers analysis​

  • Identify drivers: Determine which words or themes most strongly explain a target variable (e.g., high satisfaction, purchase intent).
  • Configuration: Focus on “extreme” subgroups (e.g., top vs. bottom scorers) to reveal what drives positive or negative outcomes.