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About

Predictive customer insights platform seamlessly combines qualitative and quantitative data, offering Qual+Quant analysis, Zero Party Data insights, and code-free simplicity. Discover a smarter way to understand customer behavior. Pre-built connectors and open to 100+ integrations. Try ConvertML today.

About

QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. QCAmap can be used within research projects in e.g. psychology, sociology, education, economics, linguistic sciences, to analyze small and large amounts of any text material and images coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages and images) and quantitative steps (analysis of category frequencies). We have developed a web-based interactive software package, which leads you step by step through the different techniques of Qualitative Content Analysis. The software is free available. All your old projects are migrated to the new version and can be used as normal.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies interested in a powerful customer insights platform

Audience

Researchers requiring an open access web application solution for systematic text analysis in scientific projects

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$150 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • Gives a clear, reproducible setup but allows flexibility for your deductive, inductive and summarizing needs. Multiple overlapping markings can be made, the exported information can be exported as csv containing 1. a series of text strings + category + document; 2. the number of or binary is or is not mentioned the set categories and 3. the the category rules themselves. this data can be refined outside the tool from there. Multiple documents can be added to a project in which multiple research questions with different methods can be set up. Reliability within one tester and across testers can be tested to further added to allow for intersubjective claims. The view for marking in the text is easy to use and highlights passages not in the text but as bars on the side, so the text does not get obfuscated.

Cons

  • The categories of any given question must strictly be deductive XOR inductive. keep this in mind before putting together the questions and categories. Sessions can be a bit short, which then forces you to re-login and clicking back to your project.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ConvertML.ai
Founded: 2010
United States
convertml.ai/

Company Information

QCAmap
Germany
www.qcamap.org/ui/home

Alternatives

Alternatives

QDA Miner

QDA Miner

Provalis Research
MM Studio

MM Studio

ReliCheck
WordStat

WordStat

Provalis Research
COSTAQDA

COSTAQDA

Global Centre for Academic Research

Categories

Categories

Qualitative Data Analysis Features

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

Integrations

No info available.

Integrations

No info available.
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