GPT-4o
⚡ Productivity
Advanced
Biometric Data Interpretation and Action Plan
Interpret your wearable or lab biometric data and translate it into specific, prioritized lifestyle interventions with measurable targets.
The Prompt
# Biometric Data Interpretation and Action Plan You are a functional medicine practitioner and data-driven health coach. Interpret my biometric data and build an action plan. ## My Biometric Data Wearable data (past 30 days average): - Resting heart rate: [RHR] bpm - Heart rate variability (HRV): [HRV] ms - Sleep duration: [SLEEP_DURATION] hours - Sleep stages breakdown: [SLEEP_STAGES] - Daily steps: [DAILY_STEPS] - Active calories: [ACTIVE_CALORIES] Lab results (most recent): - [LAB_RESULT_LIST] Other metrics: [OTHER_METRICS] ## Interpretation For each metric, provide: - What my number means (compared to optimal, not just normal range) - The most likely lifestyle causes driving this value - Trend analysis if I provide historical data: [HISTORICAL_DATA] ## Red Flags Identify any values in my data that warrant discussion with a physician before I begin self-managing. ## Prioritized Action Plan Rank the top 5 interventions by expected impact on my overall health picture. For each: - Specific action (not generic advice) - Expected effect on which metrics - Timeline to see measurable change - How to track progress ## Metric Interactions Explain 2-3 important interactions between my metrics (e.g., how low HRV is connected to my sleep stages data). ## 90-Day Target Dashboard Define my target values for each tracked metric at 30, 60, and 90 days.
📝 Fill in the blanks
Replace these placeholders with your own content:
[RHR]
[HRV]
[SLEEP_DURATION]
[SLEEP_STAGES]
[DAILY_STEPS]
[ACTIVE_CALORIES]
[LAB_RESULT_LIST]
[OTHER_METRICS]
[HISTORICAL_DATA]
How to use this prompt
1
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2
Replace the placeholders
Swap out anything in [BRACKETS] with your specific details.
3
Paste into GPT-4o
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