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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- If any required context is missing, ask for it before proceeding.
- Design a dashboard layout with sections: Overview KPIs, Trend Charts, Feedback Breakdown (by category, sentiment, etc.), and a Detail View for drill-down.
- Recommend interactive elements: filters (date range, source, sentiment), drill-down links, and customizable date ranges.
- Suggest visualizations: bar charts, line graphs, heatmaps, word clouds, or sentiment gauges—explain why each suits the data.
- Provide a wireframe description (textual) or a list of components with placement.
- 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?