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What is Tosmana?
Tosmana acts as an essential resource for performing Qualitative Comparative Analysis (QCA). This software facilitates both csQCA (Crisp-Set Qualitative Comparative Analysis) and mvQCA (Multi-Value QCA) evaluations. For more comprehensive insights on QCA, you can check the website of Charles Ragin along with the COMPASSS Research Group. The software's development commenced in 2000, and after a hiatus, its version 1.4 was released in June 2016, marking a significant resurgence in its evolution. Additionally, a complete redesign of the website occurred in the same month. Users can easily transfer data into TOSMANA by copying it directly from a spreadsheet application. To do this, simply open your dataset in the spreadsheet program, select the relevant data cells along with the variable names in the first row, and copy them. In TOSMANA, you can then go to File>Import from Clipboard to import the data, which will overwrite any existing information in the software. After successfully completing the import process, it is crucial to save your file in the correct format to maintain data integrity. This streamlined approach not only simplifies data management but also significantly improves the overall experience for users. Furthermore, the ability to easily import data can save time and reduce errors in analysis.
What is Skimle?
Skimle transforms the process of turning unstructured qualitative data into structured and analyzable datasets through advanced artificial intelligence techniques. Unlike RAG chatbots that merely fetch unrelated snippets, Skimle diligently processes entire document collections from the beginning—assessing each section, extracting insights, and organizing them into a well-defined thematic hierarchy.
Users can upload a variety of qualitative data formats, including interview transcripts, PDFs, audio or video recordings, and reports. The approach Skimle adopts, inspired by rigorous thematic analysis, systematically codes every text segment, identifies recurring themes, and creates a detailed "spreadsheet" that arranges documents as rows and themes as columns. Each insight is meticulously linked to verified quotes, guaranteeing that the information presented is accurate and free from any fabrication.
With support for over 100 languages and the ability to manage more than 1,000 documents in a single project, Skimle adheres strictly to GDPR regulations relevant in the EU, ensuring thorough traceability between themes and their associated quotes. Additionally, users benefit from customizable category options, AI-enhanced chat for rationale, and the ability to export results into Word, Excel, or PowerPoint formats.
What distinguishes Skimle is its unique capability to combine the rigorous methodologies of academic research with the swift processing power of artificial intelligence. Tasks that typically take weeks to complete using NVivo or similar traditional tools can be accomplished in just a few hours with Skimle, all while providing essential audit trails necessary for peer review and validation. This remarkable efficiency not only conserves valuable time but also significantly improves the overall qualitative research experience, making it more accessible and streamlined than has ever been possible before. Furthermore, Skimle’s innovative approach enhances the quality of research outputs, allowing researchers to focus on deriving meaningful conclusions from their data rather than getting bogged down in the analytical process.
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$0
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Lasse Cronqvist
Company Location
Germany
Company Website
www.tosmana.net
Company Facts
Organization Name
Skimle
Date Founded
2025
Company Location
Finland
Company Website
www.skimle.com
Categories and Features
Qualitative Data Analysis
Qualitative Comparative Analysis
Categories and Features
Qualitative Data Analysis
Collaboration
Data Visualization
Multi-Language
Qualitative Comparative Analysis
Sentiment Analysis
Text Analytics
User Research Analysis
Unstructured Data Analysis
Not specified