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Description
Key Features:
1. Coding: COSTAQDA provides a robust coding platform that allows researchers to categorize and tag qualitative data efficiently. It supports various coding methods, including descriptive, narrative, in vivo, and emotion coding, making it adaptable to a wide range of research methodologies.
2. Ordering/Organizing: The software enables users to structure their coded data systematically. Researchers can organize codes into hierarchies, categories, or themes, which is crucial for understanding complex relationships within the data and preparing it for deeper analysis.
3. Theme Discovery: COSTAQDA includes advanced tools for identifying and extracting themes from coded data. This thematic analysis capability helps researchers uncover patterns and insights that are essential for drawing meaningful conclusions from qualitative studies.
4. Testing Analysis: COSTAQDA supports the validation of research findings through its Testing Analysis feature. It includes an Inter-Coder Reliability test using Cohen's Kappa, which ensures consistency and reduces bias in coding, particularly in collaborative research projects.
Description
Skimle revolutionizes the way unstructured qualitative data is converted into structured, analyzable datasets through the use of artificial intelligence. In contrast to RAG chatbots that simply retrieve isolated excerpts, Skimle meticulously processes complete sets of documents from the outset—examining each segment, gathering insights, and categorizing them within a structured hierarchy of themes.
You can upload various formats of qualitative data such as interview transcripts, PDFs, audio or video files, and reports. The workflow that Skimle employs, which draws inspiration from scholarly thematic analysis, systematically codes every passage, uncovers recurring patterns, and compiles a comprehensive "spreadsheet" where documents are organized as rows and themes as columns. Each insight is directly tied to verified quotes, ensuring accuracy without any fabrication.
Supporting over 100 languages and capable of handling more than 1,000 documents per project, Skimle is fully compliant with GDPR regulations applicable in the EU, providing complete traceability between themes and quotes. Users can also enjoy features such as customizable categories, AI-driven chat for reasoning, and options to export findings into Word, Excel, or PowerPoint formats.
What sets Skimle apart is its ability to merge the rigorous standards of academic research with the rapid processing capabilities of AI. Tasks that traditionally consume weeks when using NVivo or other conventional tools can be completed in mere hours with Skimle, all while maintaining detailed audit trails essential for peer review and validation. This efficiency not only saves time but enhances the overall research experience, making qualitative analysis more accessible and streamlined than ever before.
API Access
Has API
API Access
Has API
Pricing Details
$80
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Global Centre for Academic Research
Founded
2019
Country
South Africa
Website
www.vleresearch.net
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Product Features
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis
Product Features
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis
