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features
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support

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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Access No 
Microsoft Excel No 
Transana No 

Integrations

Microsoft Access Yes 
Microsoft Excel Yes 
Transana Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

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 No 
Compensation Management No 
Data Management No 
Email / Online No 
Face-to-Face No 
Panel Management No 
Paper-Based No 
Phone-Based No 
Sample Management No 
Statistical Analysis No 
Survey Management Yes 

Product Features

Qualitative Data Analysis

Annotations Yes 
Collaboration Yes 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language Yes 
Qualitative Comparative Analysis No 
Quantitative Content Analysis Yes 
Sentiment Analysis No 
Statistical Analysis Yes 
Text Analytics Yes 
User Research Analysis No 

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