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What is Viable?
In the past, our approach to analyzing qualitative data required extensive manual effort and was quite time-consuming. However, with the advent of AI technology, we can now seamlessly identify key insights. Rather than relying solely on basic sentiment analysis, we provide a thorough weekly report that showcases the most important compliments, complaints, questions, and requests, all categorized by their volume and urgency. Each theme we uncover not only monitors changes over time but also presents a comprehensive summary, urgency rating, pertinent product sub-themes, user demographics, and further insights. This adaptable tool can be utilized across diverse sources, including sales call transcripts, customer support interactions, market research, employee feedback, and more. Importantly, our platform supports an unlimited number of users and integrations at all pricing tiers, making it accessible for organizations of any size. To initiate the process, you simply need a minimum of 500 data points. Each section of the report provides insights into the individuals involved in those conversations, ensuring a personalized approach. The AI harnesses customer attributes and metadata to conduct thorough analyses, delivering recommendations based on factors such as NPS scores, customer segments, geographic locations, and more, reflecting the analytical prowess of a human expert. This evolution not only simplifies our workflows but also deepens our comprehension of customer feedback in ways that were previously impossible. Moreover, this advancement fosters a more data-driven decision-making process, enabling businesses to respond more effectively to customer needs.
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
Delighted
Front
GPT-4
Intercom
Nekton.ai
Pendo
Salesforce
API Availability
API Availability
Pricing Information
$600 per month
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
Viable
Date Founded
2020
Company Location
United States
Company Website
www.askviable.com
Company Facts
Organization Name
Skimle
Date Founded
2025
Company Location
Finland
Company Website
www.skimle.com
Categories and Features
AI Data Analytics
Not specified
Artificial Intelligence
Not specified
Qualitative Data Analysis
Not specified
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