Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Reveal untapped potential and explore effective strategies to expand your business. Determine which additional products or services could enhance the overall value of your sales. Customize your advertising messages and outreach to align with naturally formed customer segments, thereby minimizing your cost per acquisition. Identify the obstacles and incentives that influence customer retention across various segments. Engage with your audience by consistently posing straightforward, contextually relevant open-ended questions via social media ads, emails, messaging, and throughout the entire customer experience. Analyze the feedback received and utilize AI to categorize motivations, needs, and desires effectively. Gain continuous, detailed insights that empower you to implement customized strategies, enabling sustained growth. This approach not only fosters deeper connections with your customers but also enhances your ability to respond to their evolving needs.
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
Integrations
Microsoft Access
No
Microsoft Excel
No
Transana
No
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
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Beehive AI
Country
United States
Website
www.beehive.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
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
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