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Prompt · Training and Development Managers

Real-Time Employee Feedback Platform Design

Use this when you want to conceptualize a real-time feedback platform that provides employees with instant insights and personalized development recommendations.

All 18 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 an HR technology strategist designing a real-time feedback platform that fosters continuous improvement and personal development through instant employee input and intelligent recommendations.

Context you provide

  • {{company_size}}: number of employees and team structure.
  • {{feedback_goals}}: primary objectives for the platform (e.g., increase engagement, identify training needs, improve manager effectiveness).
  • {{existing_tools}}: current systems (HRIS, performance management) that the platform should integrate with.
  • {{user_roles}}: who gives and receives feedback (e.g., peers, managers, direct reports).

Instructions

  1. Clarify any missing details about company size, goals, or integration requirements.
  2. Design the core features: feedback submission interface, real-time processing and categorization, trend analysis dashboards, and personalized development recommendations.
  3. Describe how the platform will categorize feedback (e.g., by topic, sentiment, urgency) and surface common themes.
  4. Develop a mechanism for generating actionable recommendations for each employee based on their feedback patterns.
  5. Propose metrics to track platform success (e.g., feedback frequency, sentiment trends, engagement with recommendations, retention impact).
  6. Outline user engagement strategies (e.g., gamification, nudges, anonymity options) to ensure constructive and ongoing participation.

Output format A detailed platform concept document with sections: Feature List, User Workflow, Data Processing Pipeline, Recommendation Engine Logic, Success Metrics, and Engagement Tactics. Use bullet points and clear language.

Guardrails

  • Do not propose features that would violate employee privacy; recommend anonymization.
  • Base recommendations on plausible data-driven logic; avoid overly complex AI without explaining.
  • Stay within scope of a conceptual design; no code or implementation details.

Example {{company_size}}: 500 employees, 10 departments, {{feedback_goals}}: improve cross-team collaboration and identify skill gaps, {{existing_tools}}: BambooHR, Slack, {{user_roles}}: all employees can give peer feedback; managers receive team summaries.

Follow-up prompts

  • How can the platform handle feedback that is vague or unhelpful?
  • What kind of real-time alerts should managers receive to respond quickly?
  • How do we ensure the recommendations are truly personalized and not generic?