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Ratings and Reviews 0 Ratings
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We enable organizations to assess and improve their impact by converting their fieldwork and data collection into a digital format. By embracing our digital solutions, organizations can completely eliminate paper-based forms and surveys, streamlining their fieldwork and data gathering processes. Whether your organization utilizes a few simple forms or a complex variety of surveys, our intuitive tools ensure ease of use for both fieldworkers and respondents on any device. Our Android mobile application allows for data collection without an internet connection, with responses automatically uploading in the background when connectivity is restored. Additionally, new form assignments or updates are seamlessly downloaded, ensuring fieldworkers always have the most current forms at their disposal. By implementing automated rules for skip logic and validation, you can enhance efficiency, accuracy, and compliance with protocols. Furthermore, our solution integrates validation within your forms to reduce errors and includes date-based logic to aid in scheduling and decision-making processes. Our system is also designed to accommodate instances where repeat data entry is required, such as when managing a household roster, ensuring comprehensive data collection needs are met. This all-encompassing strategy not only simplifies the data collection process but also greatly enhances data integrity and operational efficiency, ultimately leading to more informed decision-making and improved outcomes. By transitioning to our digital solutions, organizations can achieve a significant leap forward in how they approach their data management tasks.
What is Affect-Tag RX?
Assessing emotions can yield critical insights for objective evaluations. By integrating cognitive data into your consumer and user research, you can make decisions that are based on genuine emotional reactions. The Affect-tag RX solution provides reliable and insightful emotional metrics through a secure web service and a customized dashboard. These metrics are obtained from physiological information collected via the Affect-tag RX mobile application and its unique smartband. This tool is designed for efficient data collection, fitting effortlessly into a variety of research methodologies. Participants can fully engage in their experiences without any potential biases interfering with the outcomes. Furthermore, our unique algorithms analyze physiological data in just a few minutes, granting researchers quick access to impactful insights. This rapid processing empowers researchers to respond promptly to the emotional data gathered, thereby enriching the overall research process and fostering a deeper understanding of consumer behavior. Ultimately, leveraging such technology not only streamlines research but also enhances the quality of insights derived from emotional analyses.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$1500 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Mobenzi
Company Location
South Africa
Company Website
www.mobenzi.com
Company Facts
Organization Name
Neotrope
Date Founded
2007
Company Location
France
Company Website
affect-tag.com
Categories and Features
Electronic Data Capture
Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management
Categories and Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
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
