AutoQC

AutoQC

PivotX
+
+

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About

AutoQC analyzes recorded calls, interviews and survey responses for quality assurance, customer experience and research teams. Teams can configure call reviews against their SOPs, inspect required steps and next actions, and examine customer concerns across related conversations. For research workflows, AutoQC can compare submitted answers with interview audio and questionnaire rules, and organize qualitative responses around study objectives, respondent attributes and analysis grids. Outputs can include themes, findings and source references that help reviewers trace conclusions to the underlying material. Each workflow is shaped around the team's inputs, evaluation criteria and desired outputs, with representative samples reviewed before broader use. It supports quality assurance, customer experience, sales operations and market research workflows involving recorded conversations or qualitative responses.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Quality assurance, customer experience, sales operations and market research teams reviewing recorded conversations, interviews or survey responses.

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

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 Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

PivotX
Founded: 2025
India
autoqc.in/

Company Information

QCAmap
Germany
www.qcamap.org/ui/home

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COSTAQDA

COSTAQDA

Global Centre for Academic Research

Categories

Categories

Qualitative Data Analysis Features

Annotations Not Supported
Collaboration Not Supported
Data Visualization Not Supported
Media Analytics Not Supported
Mixed Methods Research Not Supported
Multi-Language Not Supported
Qualitative Comparative Analysis Not Supported
Quantitative Content Analysis Supported
Sentiment Analysis Not Supported
Statistical Analysis Not Supported
Text Analytics Supported
User Research Analysis Not Supported

Integrations

No info available.

Integrations

No info available.
Claim AutoQC and update features and information
Claim AutoQC and update features and information
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