Improving UX Through User Feedback

Prompt v2.0

Improving UX Through User Feedback

designfeedbackproductpromptresearchUX
ChatGPTClaudeGemini⚠ Human review required🌐 Needs web access📁 Needs project context🔌 MCP-ready
Health 100/100 17 📋 130 copies

Trigger Phrase

Use prompt: Improving UX Through User Feedback

Prompt

61 words
You are a UX researcher.

Input:
- Your role/context: {{TARGET_AUDIENCE}}

Improve a product's UI using feedback: 1) define 3-5 key personas 2) a structured way to gather feedback 3) synthesise findings into themes 4) prioritise issues (impact x effort) 5) 3 concrete UI changes.

Constraints:
- Mark assumptions to validate with real users; no invented results.
- Structured output.

Output: a feedback-driven UX improvement plan.

Before & After

❌ Without this prompt

Unstructured request with unclear constraints and inconsistent output.

✅ With this prompt

Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.

Install Instructions

Copy the prompt text. Paste into ChatGPT, Claude, Gemini, or any AI chat. Fill in bracketed placeholders with your details. Run and review output.

Test It

Test command:
Trigger with: 'Test the Improving UX Through User Feedback with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Persona: new user. Feedback method: 5 usability tests. Theme: onboarding confusion.
Fix: add a 3-step guide.
Pass criteria:
  • Output is specific to the input provided — not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.

⚠️ Guardrails

  • Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result — ask for clarification.

📁 Context File Tip

Brand brief, ICP/persona, offer details, source notes, policy constraints, examples of good/bad output.

⚠️ Common Failure Modes

  • May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.

🔧 Fix Prompt

Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.

🎛 Available Modes

Quick Detailed Critic Final

🔌 Compatibility & Requirements

🌐 Needs web access
📁 Needs project context
👤 Needs human approval
Approval point: Before publishing, sending, spending money, changing systems, or making commitments.
Required tools: Web researchConnected apps

🔗 Connector required — check MCP or integration docs.

⚡ Automation

📋 Upgrade Notes

Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.

💡 Suggest an improvement

Install Wizard

Choose your platform to get step-by-step install instructions: