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MAXQDA TailwindVERBI

Web-based AI tool for qualitative data analysis, providing document summarization, topic identification, and interactive AI chat.

Vendor

Vendor

VERBI

Company Website

Company Website

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Product details

MAXQDA Tailwind is a web-based application that enables researchers to analyze and understand complex qualitative data using advanced AI-driven summarization, topic identification, and interactive chat features. It streamlines the process of extracting key insights from text documents, supports both automatic and manual topic creation, and offers customizable summary tables for efficient comparison and overview of research findings. The platform emphasizes data protection and transparency, providing interactive references to verify AI-generated results.

Key Features

AI-Driven Summarization Automatically generates detailed summaries of uploaded documents.

  • Provides structured overviews for each file.
  • Includes interactive references for easy verification and deeper analysis.

Automatic and Manual Topic Identification Identifies key topics in documents using AI or allows manual topic creation.

  • AI suggests relevant topics with contextual descriptions.
  • Users can define and extract custom topics as needed.

AI-Generated Topic Summaries Summarizes each topic and explains its role across all data.

  • Offers insights into topic occurrence and differences across files.
  • Interactive references back to source data.

Customizable Summary Tables Enables creation of tables summarizing topics by document.

  • AI fills table cells with concise summaries for each topic/document pair.
  • Facilitates quick comparison and overview of findings.

AI Chat with Documents Lets users interact with their data through natural language chat.

  • Instantly finds themes, patterns, and connections.
  • Responses are linked to original text segments for transparency.
  • Chat history allows users to revisit and continue conversations.

Benefits

Efficient Qualitative Data Analysis Accelerates and deepens the analysis of complex qualitative datasets.

  • Reduces manual effort in summarizing and categorizing data.
  • Enables rapid identification of key themes and trends.

Transparency and Data Control Ensures results can be verified and traced back to original sources.

  • Interactive references support trust in AI-generated insights.
  • Maintains high standards of data protection and user control.

Flexible Research Workflow Supports both automated and custom analytical approaches.

  • Users can tailor topic identification and summaries to specific research needs.
  • Organizes research in projects for easy management and access.