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Description
Enumerate AI serves as a qualitative research platform designed specifically for insights teams within enterprises and market research firms. It facilitates AI-enhanced, as well as human-led and autonomous studies, engaging real human participants. Users can conduct a variety of research methods including in-depth interviews, focus groups, video diaries, longitudinal diary studies, and shopper research, as well as analyze open-ended survey responses and visual content. The platform streamlines the entire research process, managing everything from fieldwork to transcription, translation, coding, theming, analysis, and reporting. Researchers benefit from the ability to organize qualitative data, investigate themes, compare various responses, and link findings back to specific moments in dialogues that provide evidence. Compatible with voice, video, and text data, Enumerate supports research efforts in over 40 languages. While human researchers are ultimately responsible for interpretation and decision-making, Enumerate AI significantly decreases the burden of manual tasks, enabling teams to generate clear and substantiated qualitative insights. This integration of technology not only enhances efficiency but also enriches the quality of research outcomes for organizations.
Description
QDA Miner Lite is a no-cost, user-friendly version of our well-known software designed for computer-assisted qualitative analysis. This tool is ideal for analyzing various types of textual data, including interview transcripts, news articles, and open-ended survey responses, as well as for evaluating still images. Users can easily import documents in formats such as plain text, RTF, HTML, PDF, and data from Excel, MS Access, CSV, and tab-delimited text files. Additionally, it supports the import of data from other qualitative coding programs like Atlas.ti, HyperResearch, and Ethnograph, as well as from transcription software such as Transana and Transcriber, along with Reference Information System (.RIS) files. The software allows users to append comments or memos to coded segments, cases, or entire projects, enhancing the analytical process. Users can retrieve coded data employing Boolean operators (and, or, not) and proximity operators (includes, enclosed, near, before, after) for more precise analysis. Furthermore, tables can be exported in XLS, Tab Delimited, CSV formats, and Word format, making data sharing and reporting more convenient. The interface, along with the help documentation, is available in English, French, and Spanish, ensuring accessibility for a diverse user base. This functionality makes QDA Miner Lite an excellent resource for researchers and analysts looking to streamline their qualitative data analysis.
API Access
Has API
API Access
Has API
Integrations
Microsoft Access
Microsoft Excel
Transana
Pricing Details
No price information available.
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
Enumerate AI
Founded
2020
Country
United States
Website
enumerate.ai
Vendor Details
Company Name
Provalis Research
Founded
1989
Country
Canada
Website
provalisresearch.com/products/qualitative-data-analysis-software/freeware/
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