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What is Strella?

Interviews enhanced by AI technology and immediate synthesis facilitate faster and smarter decision-making processes. By simply outlining your research objectives, the AI generates a customized, high-quality interview guide that you can tweak and combine with any materials of your choice. With a single click, we handle the recruitment, incentives, and scheduling aspects, allowing you to focus on the most significant tasks at hand. You can choose to conduct the interviews personally to gain direct insights from customers or let our AI moderator optimize the process, greatly enhancing your overall efficiency and capacity. Obtain immediate, flexible, and actionable insights that align with your research goals, with updates happening in real-time to help your team make informed decisions in just hours instead of weeks. The questions you pose will direct the dialogue, with the AI making real-time adjustments based on the feedback received from participants. Additionally, you will appreciate the convenience of conducting interviews at any hour and across multiple time zones. You have the ability to run several interviews concurrently, allowing participants to join from their workplaces, homes, or while traveling, ensuring a smooth and adaptable research experience. This groundbreaking method not only revolutionizes how qualitative data is collected but also significantly enhances the analysis process, leading to improved outcomes for your projects. Embracing this innovative technology can truly reshape the landscape of qualitative research.

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

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

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

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Strella

Company Location

United States

Company Website

www.strella.io

Company Facts

Organization Name

Frank

Date Founded

2026

Company Location

United States

Company Website

www.hifrank.ai/

Categories and Features

Market Research

Not specified

Categories and Features

AI Interviewing

Not specified

User Research

Not specified

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