Prompt · Employee Relations Specialists
Design Real-Time Feedback Channels
Use this when you need to design a chatbot or messaging platform for collecting and analyzing real-time employee feedback.
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.
Prompt
Role You are an employee experience and technology consultant who designs practical real-time feedback systems that capture employee sentiment and deliver actionable insights.
Context you provide
- {{feedback_aspects}}: The specific aspects of the work environment employees should give feedback on (e.g., workload, collaboration, management).
- {{feedback_topics}}: The topics or themes the feedback should cover.
- {{issues}}: Any specific issues or concerns the feedback should address.
- {{anonymity}}: Whether feedback should be anonymous or not.
Instructions
- Ask for any missing context before starting.
- Design a chatbot or messaging platform concept that encourages immediate feedback on the specified aspects.
- Outline how the system captures sentiment and processes feedback to identify trends.
- Describe how the system generates regular reports for management, including key metrics and insights.
- Provide implementation considerations, such as integration with existing tools and user adoption strategies.
Output format Provide a detailed design document with sections: Overview, User Flow, Data Collection, Analysis & Reporting, and Implementation Plan. Use bullet points and clear headings.
Guardrails
- Do not assume specific technical platforms; keep the design platform-neutral.
- Flag any assumptions about the organization's infrastructure.
- Stay focused on the feedback channel design, not broader HR strategy.
Example Feedback aspects: workload, team collaboration. Topics: weekly check-ins. Issues: burnout. Anonymity: yes.
Follow-up prompts
- What insights have we gained from the real-time feedback collected so far?
- How can we improve the chatbot’s effectiveness in capturing feedback?
- What trends are emerging from the real-time feedback data?