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Description

AWAI offers two distinct methods of operation, both leveraging the same analytical framework. The first method, group analysis, eliminates the need for a traditional fixed questionnaire; instead, you can compose your questions in straightforward language and distribute an invite link, allowing respondents to participate without needing an account. Each individual engages with the AI independently, which prompts further discussion to elicit deeper insights. Once completed, the conversations are organized according to opinions, the underlying rationale, and the number of individuals who expressed each viewpoint, with unique opinions treated as outliers rather than being averaged out. This option accommodates up to 100 participants on a self-serve basis. The second method involves real-time meetings where each participant selects their preferred language for communication and reading, and contributions are categorized under specific topics as the discussion unfolds. Following the meeting, the content is organized thematically rather than presented as a mere transcript. Both approaches culminate in the creation of a document, where you can pose a straightforward question regarding the gathered information, resulting in a report that can be exported as a PDF and edited without any additional charges. Additionally, a public demo is available, requiring no registration to access. This accessibility allows potential users to explore AWAI's capabilities effortlessly.

Description

QCAmap is a freely accessible online platform designed for systematic text analysis in scientific endeavors, utilizing qualitative content analysis techniques. This tool is applicable to various research fields, including psychology, sociology, education, economics, and linguistics, allowing users to analyze diverse text materials and images sourced from interviews, group discussions, observation notes, documents, open-ended survey responses, and more. The process of Qualitative Content Analysis follows a meticulously structured protocol that incorporates both qualitative elements, such as categorizing text segments and images, and quantitative aspects, including the examination of category frequencies. We have created an interactive web-based software that guides users through the various methodologies of Qualitative Content Analysis in a step-by-step manner. The platform is freely accessible to all users, ensuring ease of use. Furthermore, all previous projects have been successfully migrated to the latest version, allowing researchers to continue their work without interruption. This seamless transition enhances user experience and enables continuous engagement with the software's features.

API Access

Has API

API Access

Has API

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Integrations

No details available.

Integrations

No details available.

Pricing Details

$11.99/month
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

OFFICE KAMIYA Inc.

Founded

2016

Country

Japan

Website

www.officekamiya.co.jp/

Vendor Details

Company Name

QCAmap

Country

Germany

Website

www.qcamap.org/ui/home

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

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

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No Alternatives

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