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What is Proven by Users?

Make sure to validate the essential aspects of your User Experience and Visual Design through targeted research initiatives. We give you the freedom to conduct tests as extensively as you desire, without any limitations. Our extensive array of UX research and testing tools allows you to uncover the most effective design and information architecture customized for your audience. Welcome to a comprehensive UX testing platform that features a multitude of assessments necessary for gathering both qualitative and quantitative insights at competitive rates. Our research platform runs entirely in your web browser, meaning there's no need for extra extensions. Each test you conduct produces a unique URL that can be easily shared with your research participants. If you have a design element or navigation structure that needs assessment, you can start the testing process within minutes. Design disagreements can often arise, but once your participants take part in your test, we quickly gather their feedback, providing you with valuable insights to support informed decision-making. This approach not only improves your design but also promotes a deeper comprehension of user preferences and behaviors, ultimately leading to more effective design solutions. By continuously engaging with users, you can refine your designs based on real-world feedback and user experiences.

What is COSTAQDA?

Highlighted Attributes: 1. Coding: COSTAQDA offers a comprehensive coding platform that empowers researchers to efficiently categorize and tag qualitative data. It accommodates a variety of coding styles, such as descriptive, narrative, in vivo, and emotion coding, making it versatile for different research approaches. 2. Ordering/Organizing: This software allows users to systematically arrange their coded data. Researchers can classify codes into hierarchies, categories, or themes, which is essential for grasping intricate relationships within the data and facilitates more profound analysis. 3. Theme Discovery: COSTAQDA is equipped with sophisticated tools for discovering and extracting themes from coded data. This capability for thematic analysis aids researchers in identifying patterns and insights that are vital for arriving at significant conclusions in qualitative research. 4. Testing Analysis: The platform also features a Testing Analysis component that assists in validating research findings. It offers an Inter-Coder Reliability test based on Cohen's Kappa, which helps ensure consistency and mitigate bias in coding, especially in collaborative research efforts. In addition, this feature enhances the overall reliability of the research process, allowing for more credible outcomes.

Media

Media

Integrations Supported

GitHub

Integrations Supported

GitHub

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$80
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

Proven by Users

Company Location

United States

Company Website

provenbyusers.com

Company Facts

Organization Name

Global Centre for Academic Research

Date Founded

2019

Company Location

South Africa

Company Website

www.vleresearch.net

Categories and Features

UX

Animation
For Mobile
For Websites
Heatmaps
Prototyping
Screen Activity Recording
Unmoderated Testing
Usability Testing
User Journeys
User Research

Categories and 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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