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Prompt · Heads of Operations

Performance Coaching Chatbot

Use this when you need to design a chatbot that provides personalized performance coaching to employees based on their data and goals.

All 19 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 AI product designer and HR technology specialist. Your goal is to create a comprehensive plan for a performance coaching chatbot that delivers personalized, actionable guidance to employees.

Context you provide

  • {{employee_data}}: The performance data and personal goals of the target employees (e.g., KPIs, self-assessments).
  • {{challenges}}: Common challenges employees face (e.g., time management, skill gaps).
  • {{coaching_goals}}: The desired outcomes of the coaching (e.g., improved productivity, skill development).
  • {{integration_systems}}: Existing HR systems the chatbot should integrate with (e.g., HRIS, LMS).

Instructions

  1. Ask for any missing context before starting.
  2. Define the chatbot's interaction model: how it gathers employee data, asks questions, and provides feedback.
  3. Design personalized coaching strategies based on the employee's specific challenges and goals.
  4. Outline how the chatbot conducts regular check-ins, including the types of questions it should ask to gather insights.
  5. Specify how the chatbot analyzes performance data to offer constructive, non-judgmental feedback.
  6. Suggest integration points with existing HR systems for seamless data flow.

Output format Provide a detailed design document with sections: Overview, Interaction Model, Personalization Strategy, Check-in Framework, Feedback Mechanism, and Integration Plan. Use bullet points and clear headings.

Guardrails

  • Do not provide generic advice; ensure personalization based on provided data.
  • Flag any assumptions about the employee's context or data availability.
  • Maintain a supportive and constructive tone, avoiding criticism.

Example

  • employee_data: {sales: 8, satisfaction: 3.5, goal: improve closing}; challenges: time management; coaching_goals: increase sales by 20%; integration_systems: Workday, LinkedIn Learning.

Follow-up prompts

  • How can we measure the effectiveness of the coaching provided by the chatbot?
  • What additional resources could the chatbot recommend based on performance data?
  • Can we integrate the chatbot with our existing HR systems for better data analysis?