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Description
GetWhy is an innovative platform driven by generative AI that seamlessly transforms research inquiries into practical qualitative insights, utilizing video interviews and providing results of agency-level caliber in mere hours instead of the customary weeks. Starting with a straightforward prompt, GetWhy’s AI system crafts and initiates research studies, enlists participants from its extensive global panel, conducts think-aloud interviews, and processes responses through transcription, sentiment analysis, and synthesis of crucial insights. It leverages a comprehensive knowledge repository of over 250,000 qualitative sessions to quickly reveal quotes, trends, and themes with remarkable thoroughness. This platform empowers teams to act swiftly, cultivate deep empathy, and implement strategies with accuracy across various domains such as research, concept development, messaging, and customer experience projects, facilitating the transformation of consumer behavior understanding into systematic and scalable decision-making processes. By streamlining the research process, GetWhy enhances the ability of organizations to adapt to market demands rapidly and effectively.
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
Integrations
ATLAS.ti
MAXQDA
NVivo
Pricing Details
No price information available.
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
GetWhy
Founded
2018
Country
Denmark
Website
www.getwhy.io
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Product Features
Market Research
Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management
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
