Nutrition Log Table Structure

Research Schedule Table Structure

Data Types

• Date/Time: Formatted as DD/MM/YYYY HH:MM for consistency.
• Text: Meal Type, Food Item, Eating Environment.
• Numeric (Integer/Decimal): Portion size, Calories, Protein, Energy Rating.
• Dropdown Lists: Applied to Meal Type, Task Priority, Eating Environment for standardized inputs.
• Boolean (Yes/No): For allergen warnings and dietary compliance flags.

Formulas Required

• In the Nutrition Log, use Excel’s built-in database functions to pull daily totals from the Meal Planner using SUMIFS: =SUMIFS(NutritionLog[Calories], NutritionLog[Date], WeeklyMealPlanner[@Date])
• Use VLOOKUP or XLOOKUP to auto-populate Food Item nutritional values from a reference table (e.g., USDA database) based on user input.
• In the Performance Correlation sheet: =IF([@Cognitive Load Rating] >= 4 AND [@Energy Rating After Meal] > 7, "High Productivity", IF([@Cognitive Load Rating] <= 2 OR [@Energy Rating After Meal] < 4, "Low Productivity", "Moderate"))
• Conditional formula to flag missed meals during high-priority research days: =IF(AND(ResearchSchedule[@Task Priority]="High", ISBLANK([@[Meal Time (HH:MM)]])), "URGENT: Missed Meal During Critical Task!", "")

Conditional Formatting

• Red fill: When Energy Rating after meal is below 4 during High Priority research day.
• Yellow fill: When Protein intake is under 1.6g/kg of body weight (for muscle recovery in lab workers).
• Green highlight: If hydration exceeds 2L/day and energy rating exceeds 8 on a data analysis day.
• Icon sets: Apply traffic light icons to “Cognitive Load Rating” based on performance correlation.

Instructions for the User

1. Complete your Employee Profile sheet with dietary restrictions, shift pattern, and body weight.
2. Each morning, open the Weekly Meal Planner and record meals as you consume them—match meal times to your Research Schedule.
3. After each meal, rate your energy level (1-10) using the dropdown menu. This data trains the system to recommend optimal meals for future high-load days.
4. Do not skip logging snacks; they are critical during long sequencing runs or coding marathons.
5. The Dashboard updates automatically—review it weekly to identify patterns (e.g., “I perform best after a protein-rich lunch before microscopy sessions”).
6. If you have an allergy, the template will auto-flag conflict foods via conditional logic in the Nutrition Log.

Example Rows

Recommended Charts & Dashboards

• Mixed Bar and Line Chart: Overlay daily energy ratings against task completion % to visualize correlation.
• Stacked Column Chart: Shows macronutrient distribution per shift type (e.g., Night shift = higher carbs vs. Day shift = higher protein).
• Heatmap of Meal Consistency: Color-coded grid showing which days/times employees consistently skip meals (identifies systemic issues).
• Employee Wellness Score: A single KPI calculated as: ((Hydration score * 0.3) + (Energy Rating avg * 0.5) + (Protein compliance * 0.2)). Displayed in a gauge on the Dashboard.

This template transforms meal planning from a passive habit into an active research optimization strategy. By aligning nutrition with scientific workflow, it empowers employees to make data-driven dietary choices that directly enhance productivity, reduce burnout, and support long-term health in high-stress environments. It is not merely a planner—it is a behavioral analytics tool tailored for the modern researcher.