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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.
Description
Unite, comprehend, and prioritize customer feedback on a comprehensive and collaborative platform. Gain valuable insights through AI-enhanced thematic and sentiment analysis. Maximize the potential of your customer feedback using advanced theme and sentiment evaluations that uncover insights critical to enhancing your business metrics. Seamlessly integrate feedback from various sources such as online reviews, chats, and surveys with one-click functionalities. Thematic simplifies the use of feedback by automatically redacting data, ensuring that teams can work with information safely and in compliance with regulations. It categorizes feedback into themes and sentiments as they arise and quantifies recurring themes for deeper understanding. Utilize search functionalities to explore similar themes and gather additional insights. Effortlessly adjust themes using options like edit, ignore, and merge. Identify major concerns with robust analytical tools, and apply filtering mechanisms to segment and refine your findings based on structured data. Establish alerts for emerging issues and quickly navigate to pinpoint the exact root causes, allowing for proactive management and resolution of customer concerns. This comprehensive approach fosters a deeper connection with customers and informs strategic decisions effectively.
API Access
Has API
API Access
Has API
Pricing Details
$0
Free Trial
Free Version
Pricing Details
No price information available.
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
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Vendor Details
Company Name
Thematic
Founded
2015
Country
New Zealand
Website
www.getthematic.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
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis
