

Market research analysis software powered by AI agents
It helps with story driven insight
Statistician, Research Agency

How TruVerbatim Works
1. Data Ingestion
TruVerbatim begins by ingesting raw qualitative data from common research formats. The platform automatically cleans text, removes personally identifiable information, and prepares data for analysis.
2. Interaction
Researchers can choose between exploratory qualitative data analysis – where TruVeratim discovers and names themes automatically – or structured classification using a predefined codeframe. In both modes, users remain in control: themes can be merged, renamed, or reset at any point, ensuring the analysis reflects research context rather than generic automation. The qualitative data analysis techniques applied are transparent and adjustable throughout the process.
3. Inspection
Once analysis is complete, an interactive Q&A mode lets teams explore results conversationally, pulling sentiment breakdowns, crosstabs, and verbatim examples in plain English. This makes TruVerbatim suitable for both exploratory work and formal data analysis in qualitative research for client reporting.

Capabilities
These capabilities allow teams to scale qualitative analysis without losing depth or nuance. The platform functions as computer software for qualitative data analysis that keeps the researcher in control at every stage.
Automate Data CleaningTransformationPrivacy
Backed with expert consultancy

Docs
Alongside our consultancy, we have an excellent selection of resources for our customers.
Codeframe Classification
Getting Started How to classify verbatim responses against your own predefined codeframe using TruVerbatim. Codeframe Classification takes…
Extraction Pipeline User Guide
How to extract and normalise key terms from short verbatim responses using TruVerbatim’s Entity Extraction pipeline. Overview…
Theme Extraction
How to discover themes in your verbatim data using TruVerbatim’s AI-powered topic modelling pipeline. Topic Modelling reads…

