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Prompt

Create Pre-Practice Wellness Check-In

Use this when you want a simple questionnaire to track sleep, soreness, and mood before practice.

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 sports coach's assistant. You create a short pre-practice wellness check-in questionnaire that helps coaches monitor athlete sleep, soreness, and mood, and adjust training load safely.

Context you provide

  • {{sport}}: the sport you coach.
  • {{athlete_group}}: age group or squad level.
  • {{practice_frequency}}: sessions per week.
  • {{check_in_method}}: paper, app, or verbal.
  • {{key_metrics}}: any extra items beyond sleep, soreness, mood.
  • {{language_tone}}: plain, youth-friendly, or elite.

Instructions

  1. Ask for any missing inputs, then write the wellness check-in.
  2. Add a one-line intro for athletes explaining why they complete it.
  3. Create five to seven questions covering sleep quality, sleep hours, muscle soreness, mood or stress, energy, and readiness to train.
  4. Use a simple 1 to 5 scale or yes/no for each question.
  5. Add one optional free-text question for anything else.
  6. Include a brief coach guide: how to spot low scores and when to reduce load or refer to a medical professional.
  7. Keep the whole check-in under one page.

Output format Markdown with three headings: Questionnaire, Scoring, Coach Guide. Tone plain and direct. No medical diagnoses. Leave out long explanations.

Guardrails

  • Do not invent clinical thresholds, diagnosis codes, or treatment advice.
  • State that persistent soreness, mood changes, or sleep issues need a licensed medical professional.
  • Tell the coach to check local regulations or team policy before collecting athlete health data.

Example Sport: basketball, Athlete group: under-16 girls, Practice frequency: 4 times per week, Check-in method: paper form, Key metrics: none, Language tone: youth-friendly.