RFP: Mobile Health App for ARMY
Role: Lead in-house designer to set UI design and standards, visual design, interaction design
Task: Design mobile health app to aid military personnel in managing healthy body weight, nutrition, physical fitness goals, and combat readiness. The mobile health app will be designed to incorporate wearables and artificial intelligence
Requirements: 
Body Mass Index: Accurately (100%) calculated for users through a coded algorithm based on user-entered data for height and weight during registration.
 
Screening Table Weight: Accurately (100%) calculated for Soldiers through a coded algorithm based on user-entered data for height and weight during registration per AR 600-9 standards.
 
Body Fat Calculator: Application accurately (100%) calculates Soldier’s body fat percentage based on self-reported circumference measurements for abdomen, neck, and hips (women only) using a coded algorithm from equations obtained from AR600-9. Users are then shown a graph that accurately (100%) compares their calculated percent body fat compared to their maximum allowed percent body fat according to AR 600-9.
 
ATP 7-22.01 Holistic Health and Fitness (H2F) Testing APFT/ACFT Calculator: Accurately (100%) computes APFT and ACFT scores based on user-entered number of reps for push-ups and sit-ups and 2-mile run time (in minutes) using a coded algorithm from the equations obtained from FM-21-20. New algorithms and calculations are required for modified APFT/ACFT exercises such as swimming, biking, deadlift, standing power throw, pushups, sprint drag and carry, leg tuck and 2.0-mile run.
 
Meal Plan: A prescribed meal plan is provided to the user based on starting weight, activity goals, and weight loss goals. An algorithm based on variations of the Harris Benedict equation accurately (100%) calculates estimated energy intake and energy expenditure to prescribe appropriate daily calorie consumption (based on body weight goals) and provides premade meals and substitution options that fit within those calorie goals.
 
Exercise Plan: A prescribed exercise plan is provided to the user based on starting activity level. Current exercise level is accurately (100%) assessed through user-entered frequency and duration of both strength and cardio exercise. An algorithm based on American College of Sports Medicine’s evidence-based exercise guidelines recommends exercises from a database of appropriately categorized exercises by difficulty and frequency.
 
Exercise Intensity: User input of age and resting heart rate are used to accurately (100%) calculate user-specific training zones based on heart rate percentages.
 
Progress Charts: Application provides progress charts which accurately (100%) displays changes over time of metrics such as calorie intake (from user-entered food logs), user-entered body weight, calories burned (from user-entered exercise logs), and user-entered APFT history. Application accurately (100%) aggregates data into daily, biweekly, or monthly summaries.