F

Frank

AI Customer Interviews for Every Stage of the Customer Journey

AILaunched Oct 2026

The story

Frank helps SaaS and ecommerce teams understand their customers at every stage of the customer lifecycle through AI-moderated interviews. Use Frank for product discovery, customer feedback, purchase research, onboarding, feature adoption, conversion optimization, win-loss analysis, churn research, and more.

Overview

Frank is an AI-powered customer research platform that conducts AI-moderated interviews at scale. Teams can set up interviews in minutes, collect responses 24/7 in 30+ languages, and analyze hundreds of conversations to identify recurring themes, sentiment, and actionable insights.

Frank supports research across the customer lifecycle, including product discovery, onboarding, feature adoption, purchase behavior, conversion optimization, win-loss analysis, and churn research. It is built for product managers, growth teams, founders, UX researchers, and brand managers who use customer insights to guide product development, refine marketing strategies, and improve customer experiences.

Key features

Global Scalability

Interview thousands of customers simultaneously across 30+ languages with instant translations, removing scheduling and timezone constraints.

Automated Analysis

Turn hundreds of interviews into structured insights, transcripts, and highlights instantly, with thematic analysis and sentiment tracking.

Enterprise Security

SOC 2 certified, GDPR compliant, and independently audited for top-tier security and privacy standards.

Always On Availability

Frank conducts AI-moderated customer interviews 24/7, helping SaaS and ecommerce teams gather insights across time zones and customer journey stages.

MCP Server

Connect Frank with Claude, OpenAI, Gemini, and other AI tools to create research projects, conduct customer interviews, analyze transcripts and correlations, and uncover customer insights directly within your existing workflow.

Website Widget

The widget lets researchers embed customer interviews directly into their website or app, so participants can share feedback without leaving the digital experience you are already using.

Use cases

  • 1

    Product Discovery

    Find out what customers actually need before anything gets built. Surfaces pain points, unmet needs, and jobs-to-be-done, and tells you who you are really building for.

  • 2

    Market Discovery

    Test a new segment, vertical, or region through continuous user interviews before committing budget to it.

  • 3

    Discovery Calls

    Turn every new customer into a deep discovery conversation instead of a form fill, without anyone on your team taking the call.

  • 4

    Feature Discovery

    Get instant feedback on the feature you just shipped. Interviews the people who tried it and the people who ignored it, and separates "did not understand it" from "did not want it."

  • 5

    Churn Analysis

    Your cancellation survey is lying to you. Drop an interview link into the cancellation flow and get a real reason while the decision is still fresh.

  • 6

    Win-loss analysis

    Interview closed-won and closed-lost accounts to see which objections, competitors, and buying triggers actually decided the deal.

FAQ

Do people talk naturally to AI?

Yes. Customers speak naturally just like in a real interview, and in many cases are even more direct with AI, leading to higher-quality data.

How does Frank know what questions to ask?

During setup, you define your purpose and goals. Frank suggests key topics and, drawing on thousands of past interviews, guides the conversation while digging deeper.

How are AI interviews better than surveys?

Surveys are static and cannot capture emotions or excitement. AI interviews are dynamic, probe further, clarify answers, and reduce bias to uncover the emotional why behind behavior.

How quickly do I get results?

You get structured insights, transcripts, and highlights instantly, ready for your team to act on. Full analysis typically takes 24 hours.

How many interviews can I run at once?

As many as your plan allows. Frank scales instantly, so you can run dozens or hundreds of interviews in parallel.

Tech stack & tags

#ai customer research#ai customer interviews#product discovery#win-loss analysis#churn analysis#customer research#qualitative research#customer research#ai interviews#qualitative research#user insights#churn analysis#feature feedback

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