JDAC, LLC
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.

Generate My Feedback FormJoin the CareSync Closed Beta

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.

Need help improving your product systems?

Frankie selects the right feedback depth for your product.

Based on your product stage, goals, and biggest concerns, Frankie selects the feedback depth most likely to generate useful insight. You can still override the recommendation.

  • Speed & Completion

    Quick Feedback

    Shorter forms for faster completion and quick usability insight.

    Best for

    • Early MVPs
    • Rapid testing
    • Casual beta testers
    • Quick validation loops
  • Frankie SelectedBalanced Product Insights

    Standard Feedback

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

    Best for

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

    Deep Feedback

    More comprehensive feedback for trust-sensitive products and deeper improvement.

    Best for

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

Frankie's selection is a starting point — you can still change the recommendation.

Tell us about your product

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

0/500
Keep concise for better recommendations0/500