JDAC Labs · Active MVP

Frankie.

Frankie the Feedback Filter — an adaptive product feedback intelligence system.

Generate structured beta feedback forms tailored to your app type, product stage, user experience goals, and retention risks in minutes.

How it works

Three steps. No accounts, no setup, no fluff.

  1. Step 1

    Answer 5 strategic questions

    Tell us about your product, stage, and what you're worried about right now.

  2. Step 2

    AI analyzes your product priorities

    Weighting across UX, retention, trust, and other factors based on your inputs.

  3. Step 3

    One-click copy prompt optimized for Google Forms — plus adaptive feedback insights tailored to your product.

    Copy-paste-ready sections, questions, and question types tuned to your goals.

Better feedback is only useful if you can act on it.

Most founders collect feedback. Very few have a system for organizing, prioritizing, and improving products from it consistently.

Structured feedback loops help identify friction, confusion, and trust issues earlier — when product improvements are faster, cheaper, and easier to implement.

Choose the right feedback depth for your product.

Different stages of a product require different types of feedback. Frankie intelligently recommends the best feedback depth based on your product, goals, and biggest risks.

You can accept the AI recommendation or choose a different feedback depth manually.

  • Speed & Completion

    Quick Feedback

    Shorter feedback forms optimized for faster completion rates and quick usability insights.

    Best for

    • Early MVPs
    • Rapid testing
    • Casual beta testers
    • Quick validation loops
  • AI RecommendedBalanced Product Insights

    Standard Feedback

    A balanced feedback structure designed for most beta-stage products and real-world usability testing.

    Best for

    • Active MVPs
    • Onboarding validation
    • Product refinement
    • Retention testing
  • Detailed Product Intelligence

    Deep Feedback Review

    More comprehensive product feedback designed for onboarding analysis, trust-sensitive workflows, retention analysis, and deeper product improvement.

    Best for

    • Healthcare apps
    • Trust-sensitive products
    • Advisor reviews
    • Internal teams
    • Serious beta testers

Tell us about your product

Five questions. The more specific you are, the sharper your framework.

1–2 sentences usually works best0/500
Keep concise for better recommendations0/500

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