Features
Explore the features of Cardus.AI and move beyond generic surveys and automatic summaries, working with real narratives that reveal how work truly happens.
AI-Powered Interviewing
Cardus.AI offers a powerful Real-Time Interviewer (RTI) feature that allows you to conduct interviews using an AI-powered interface with both audio and text capabilities. This innovative approach to qualitative research streamlines the interview process while maintaining high-quality data collection.
Narratives Extraction
You can upload your own interview and let Cardus.AI extract narratives that transforms a raw conversation stream into structured data and analyzable narratives. This process is essential for qualitative analysis of organizational stories and experiences.
Categories Management
Categories in Cardus.AI provide a powerful way to organize and filter your qualitative data. They function as custom metadata that you can apply to interviews and automatically flow to all narratives extracted from those interviews.
Metrics Generation
The Metrics Generation feature in Cardus.AI allows you to analyze and quantify the emotional tone and how much a narrative carry a description of events and experiences or only abstract concepts and opinions. This powerful tool processes narratives to generate two key metrics: Sentiment and Abstraction Level.
Narratives Clustering
Cluster narratives is a powerful feature in Cardus.ai that uses state-of-the-art algorithms to organize and visualize narrative patterns across your organization. This tool helps you identify common themes and insights that might otherwise remain hidden in large volumes of qualitative data and offer a unique Semantic Map.
Narrative Classification
The Narrative Classification into Tags functionality in Cardus.AI allows you to organize narratives based on classes explicitly defined by you. Unlike categories applied to interviews, tags are assigned directly to narratives, enabling cross-sectional and comparable analysis of experiences, situations, and patterns reported throughout the project.
Semantic Map and Network Graph
The Semantic Map and Network Graph feature in Cardus.AI allows you to interactively visualize the relationships between narratives, tags, clusters, and interview categories. This visualization provides a structural representation of the dataset, making visible connections, overlaps, and patterns that are not easily perceived in lists or tables.
Sharing Research Results
The Sharing Research Results feature in Cardus.AI allows you to provide read-only access to the project Dashboard. Invited users can explore visualizations, metrics, clusters, and narratives, and can also use the chat as an analytical interface to query, cross-reference, and calculate information, without modifying project content or settings.