Verithos is an AI-powered qualitative research platform designed to assist researchers in producing defensible findings with traceable evidence. By integrating AI-assisted transcript coding, Verithos streamlines the analysis process, ensuring that every claim is directly linked to its source data. This approach enhances the rigor and transparency of qualitative research, making it particularly valuable for academic researchers, postgraduate students, policy research units, and consultants.
Key Features and Functionality:
- AI-Assisted Transcript Coding: Automates the initial coding process, identifying themes and patterns within qualitative data.
- Evidence-Anchored Codes and Themes: Ensures that each code and theme is directly linked to verbatim quotes from the source material, providing clear traceability.
- Cross-Transcript Findings Overview: Offers a comprehensive view of findings across multiple transcripts, facilitating comparative analysis.
- Exportable Findings Reports: Generates structured reports in formats like PDF and RTF, ready for publication or presentation.
- Citation-Ready Outputs: Provides outputs formatted in various citation styles, including APA and Harvard, simplifying the referencing process.
- Codebook Export: Allows for the export of codebooks in CSV or XLSX formats, aiding in data management and sharing.
Primary Value and User Solutions:
Verithos addresses the common challenge in qualitative research of linking analytical claims to their original data sources. By maintaining a clear chain of evidence from raw data to reported findings, it ensures the defensibility and credibility of research outputs. This traceability is crucial for researchers aiming to produce rigorous and transparent analyses. Additionally, Verithos streamlines the research workflow, reducing the time and effort required for manual coding and analysis, thereby allowing researchers to focus more on interpretation and insight generation.
