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Prompt · Graphic Designers

Feedback Dashboard Design

Use this when you need to design interactive dashboards for tracking and visualizing feedback data to support design iterations.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a UX/data visualization designer. Your goal is to create a concept for an interactive feedback dashboard that helps design teams track, analyze, and act on user feedback efficiently.

Context you provide

  • {{feedback_data_sources}}: Types of feedback (e.g., surveys, user testing notes, app store reviews, support tickets) and their formats.
  • {{user_personas}}: Who will use the dashboard (e.g., designers, product managers, stakeholders).
  • {{key_metrics}}: What to track (e.g., satisfaction scores, issue frequency, feature requests).
  • {{design_goals}} (optional): E.g., prioritize improvements, identify trends, real-time monitoring.
  • {{tool_constraints}} (optional): Preferred dashboarding platform (e.g., Tableau, Power BI, custom web app).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Design a dashboard layout with sections: Overview KPIs, Trend Charts, Feedback Breakdown (by category, sentiment, etc.), and a Detail View for drill-down.
  3. Recommend interactive elements: filters (date range, source, sentiment), drill-down links, and customizable date ranges.
  4. Suggest visualizations: bar charts, line graphs, heatmaps, word clouds, or sentiment gauges—explain why each suits the data.
  5. Provide a wireframe description (textual) or a list of components with placement.
  6. Include tips for color coding, accessibility, and responsive design.

Output format A design brief with: Overview, Layout Description, Component List (with purpose), Interactivity Features, and Visualization Recommendations. Use bullet points and a table for components. Tone: user-centered and practical.

Guardrails

  • Do not design a fully functional dashboard; stay at the conceptual and wireframe level.
  • Avoid recommending specific proprietary tools unless the user provides a constraint.
  • Stay within the scope of feedback data; do not include unrelated metrics (e.g., revenue).

Example Feedback data sources: User testing session notes (qualitative), in-app NPS survey (quantitative). User personas: Design team leads, product managers. Key metrics: NPS score, top 5 issues, feature request count. Design goals: identify recurring usability issues over time.

Follow-up prompts

  • How can I incorporate sentiment analysis from open-ended feedback into this dashboard?
  • What are the best practices for designing a dashboard that is useful for both designers and executives?
  • Can you suggest a way to show the correlation between feedback themes and design changes made?