AI Agents for Continuous Customer Feedback

Franko lets product teams create AI agents that run short, focused customer conversations, continuously gathering feedback without needing a dedicated research team.

No credit card required
Why Franko

No feedback loop? You're in trouble.

Growth is harder than ever. Acquisition costs, churn, customer expectations, # of competitors—all way up! Understanding your customer is your moat but traditional methods aren't cutting it.

Franko is your competitive advantage.

Traditional Surveys

  • Fixed-question, shallow, inflexible
  • Survey fatigue; declining customer engagement
  • Structured data; but limited depth
  • Low cost; limited actionable value
  • Scalable but only with single response questioning

Human-led Interviews

  • Conversational but potential interviewer confirmation bias
  • Low convenience for customer; scheduling, time intensive
  • Varied, unstructured data; difficult to scale analysis
  • High cost per interview
  • No scalability without linear interviewer cost/effort increases

Franko Agents

  • Conversational, objective, trained on proven research techniques
  • Instantly available; short, customer-friendly guided conversations
  • Semi-structured, AI-ready data, scalable analysis
  • Survey-level pricing with significantly higher ROI
  • Scalable without incremental overhead or customer friction
How It Works

Create, Deploy, and Discover

An always-on feedback engine that meets customers where they are—zero friction, zero scheduling—capturing unfiltered customer feedback while you build.

01. Set up your context
Example Implementation

Build Your Own Continuous Customer Feedback Engine.

Automate short, targeted conversations at critical points in your customer journey—each conversation instance accessed by your customers via simple, shareable links.

Day 1

Sign-up & Free Trial

Right after sign-up, identify the user's core problem and how they found you. This builds momentum and addresses friction early.

Conversation Objectives

  • Spot who they are (persona) and the core problem they want solved.
  • Discover how they found you and what convinced them to try.
~30 Days

Early Product-Market Fit

About a month in, check if the product meets expectations and delivers real value. Confirming fit minimizes churn.

Conversation Objectives

  • Check how disappointed they'd be without your product (true 'need').
  • See if real value matches their initial expectations.
  • Gather suggestions for improvement.
~60–90 Days

Feature Preference Discovery

After ~2-3 months, identify which features drive engagement versus cause friction. This insight helps refine pricing and boost satisfaction.

Conversation Objectives

  • Identify which features drive engagement and which go ignored.
  • Uncover confusion or friction around usage.
  • Gauge willingness to pay or upgrade based on perceived value.
As Needed

Inactivity & Lapsed-Usage Trigger

When a user goes dormant, determine if they're stuck or solved their problem elsewhere. Highlighting helpful resources can lure them back and reduce silent churn.

Conversation Objectives

  • Determine if they solved their problem elsewhere or got stuck.
  • Highlight helpful features or resources to lure them back.
Upon Cancellation

Churn & Win-Back Attempt

Upon cancellation, ask why they're leaving (pricing, fit, features?) and explore options. This helps fix issues and potentially recapture revenue.

Conversation Objectives

  • Ask why they're leaving—pricing, product fit, or a missing feature?
  • Explore what might bring them back or whether another plan suits them better.
Launch Demo Chat

Try Franko in Under 1 Minute

Curious how Franko's AI Agents work? Spend just 60 seconds chatting with an agent about your most and least favourite thing about Slack! Experience firsthand how easily you can gather actionable product feedback.

No scheduling, just launch and chat.

Launch Slack Demo Chat