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Sunday Health Audit: Weekly Review Prompt

Paste this weekly health review prompt and Claude turns your raw data, sleep, weight, and workouts into a clear weekly picture with next steps.

Free prompt pack · copy-paste ready · built by the BrainVaultAI team

Most fitness tracking is passive. You log data and nothing changes because the insight layer is missing. This prompt is the insight layer, you feed it a week of data and it tells you what's actually happening and what to adjust. Run it every Sunday. Takes five minutes to fill in the data, two minutes to read the output. Over four weeks you'll have a clear picture of which inputs (sleep, stress, food timing, training load) are actually moving your metrics. The second prompt is for when you're stuck on a specific issue, weight stall, low energy, poor sleep. It runs a root-cause analysis on your inputs instead of just giving generic advice.

Weekly Health Audit Prompt
You are my health analyst. I'm going to paste my week of data below. Analyze it and give me: 1. ONE primary insight, the most significant pattern or anomaly this week
2. ONE adjustment, the single change most likely to improve my primary metric next week
3. Trend flag, any metric that has been moving wrong for 2+ weeks in a row
4. Don't give me a list of everything. Prioritize ruthlessly. DATA FORMAT I'll paste:
- Sleep: [hours each night, quality 1-10]
- Weight: [daily readings]
- Workouts: [type, duration, perceived effort 1-10]
- Energy: [daily average 1-10]
- Notable events: [stress, travel, diet changes, illness]
- Primary goal: [what I'm optimizing for this month] ---
WEEK DATA:
[PASTE YOUR DATA]
Root Cause Analysis Prompt
I'm stuck on a specific health issue and want you to run a root cause analysis, not give me generic advice. ISSUE: [DESCRIBE EXACTLY WHAT'S HAPPENING, e.g., 'weight has stalled for 3 weeks despite being in a deficit'] Here's my input data for the past 3 weeks:
[PASTE DATA] Analyze using first principles:
1. What are the 3 most likely causes of this specific pattern?
2. For each cause: what data point in my log supports or contradicts it?
3. What's the single highest-probability intervention to test this week?
4. What would prove or disprove that intervention within 7 days? Be direct. If you don't have enough data to conclude, tell me exactly what to track next week.

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