Feedback Translator
Turn "make it pop" into actual design direction
Clients say "make it pop" and "I'll know it when I see it." This recipe takes vague client feedback and translates it into specific, actionable design tasks — with visual reference examples pulled from the web.
INGREDIENTS
PROMPT
Create a skill called "Feedback Translator". I'm a web designer and my clients give vague feedback like "make it pop," "more modern," "I'll know it when I see it," and "make the logo bigger." When I paste client feedback, analyze it and translate each vague request into specific, actionable design tasks. For each task, search the web for 2-3 visual reference examples from real websites that demonstrate the likely intent. If I provide feedback from multiple stakeholders, detect contradictions and flag them. Output a structured revision checklist I can work from, and optionally generate a confirmation email to send back to the client summarizing how I interpreted their feedback.
How It Works
Paste or forward a client's feedback message, and your Claw parses the
vague language, identifies what the client probably means, and generates
specific design actions with visual examples. "Make it more modern" becomes
"increase whitespace, use a sans-serif type scale, reduce color palette to
2-3 colors" with 3 reference screenshots.
What You Get
- Vague feedback translated into concrete design actions
- Visual reference examples from real websites matching each suggestion
- Contradiction detection when multiple stakeholders give conflicting feedback
- A structured feedback summary you can confirm with the client before acting
- Revision tracking across rounds
Setup Steps
- Paste or forward client feedback to your Claw
- Optionally provide context about the project (industry, audience, current design)
- Your Claw translates the feedback into actionable items with visual references
- Review and use as your revision checklist
Tips
- Works best when you include the original design for context
- The reference examples come from real sites, so you can share them with the client to confirm direction
- Use the contradiction detector when dealing with multiple stakeholders
- Save confirmed interpretations so future rounds stay consistent with the client's preferences