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What is Qualitative?

Qualitative transforms the way user research sessions are invited, scheduled, and conducted, providing an exceptionally user-friendly experience. It enables self-service email invitations to research participants, which significantly enhances communication efficiency. As participants are scheduled, calendar events are generated automatically, including video conferencing links and dial-in instructions. With the simplicity of dispatching incentives to global participants at the click of a button, this platform streamlines the entire process of user interviews. Users can recruit directly from their websites through pop-ups or utilize email invitations through the self-service feature. Furthermore, sharing a screener link or inviting previous participants via your CRM is made easy, and there’s the option to request a tailored group of research participants to meet specific requirements. You can also create customized screeners to filter potential participants effectively. By establishing your recurring availability, participants can effortlessly request interview slots, while Qualitative manages the organization of interview calendar events along with all necessary video conferencing and dial-in information. This innovative platform not only simplifies user research but also ensures that it is more efficient and accessible than ever before, ultimately enhancing the research experience for everyone involved. With its comprehensive features, Qualitative is positioned to redefine how user research is approached in the modern landscape.

What is Frank?

Frank functions as a cloud-based service that focuses on customer research, empowering product and growth teams to obtain qualitative insights via AI-driven voice interviews. Users can create structured interview guides, share interview links, and embed an interview widget into their websites or applications, facilitating a smooth research process. During conversations, Frank intelligently generates follow-up questions based on the responses provided by participants, while also transcribing and organizing the discussions into clear summaries, themes, sentiments, and essential highlights related to the original exchanges. Teams utilize this innovative tool for a variety of objectives, such as customer discovery, validating products and concepts, onboarding new clients, assessing features, improving customer experience, and exploring reasons behind churn. Furthermore, the platform supports interviews in more than 30 languages, making it accessible to a wide range of audiences. To further enhance integration capabilities, Frank provides a REST API and a compatible MCP connector, allowing teams to effortlessly access and leverage research data alongside other AI tools they may be using. This all-encompassing framework ensures that teams can optimize their research initiatives and extract actionable insights with greater efficiency, ultimately leading to more informed decision-making and strategic growth.

Media

Media

Integrations Supported

Google Calendar

Integrations Supported

ChatGPT
Claude
Codex CLI
Cursor
Gemini
Microsoft Copilot
Model Context Protocol (MCP)

API Availability

API Availability

Has API

Pricing Information

$50 per month
Free Trial Offered?

Pricing Information

$59/month
Starter is $59/month billed monthly, or $49/month billed annually. A free plan includes 60 voice minutes per month. Paid plans include a 14-day free trial.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Qualitative

Company Location

United States

Company Website

qualitative.io

Company Facts

Organization Name

Frank

Date Founded

2026

Company Location

United States

Company Website

www.hifrank.ai/

Categories and Features

Panel Management

Not specified

User Research

Not specified

Categories and Features

AI Interviewing

Not specified

User Research

Not specified

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