FitPulse Assumption Testing

Assumption 1: 

Notes:

Link to Google Form Sent to Trainers 

Data:

Common considerations that trainers cited as guiding their responses:

  1. Filling the gaps
    1. Stanford has a substantial budget for the other categories, so I spent in analytics where Stanford has less budget set aside 
    2. Stanford does not provide items equitably for all teams, so I spent on nutritional access and data trackers which my teams otherwise wouldn’t have access to
    3. Considering what we already have access to and what is in the plans for the whole athletic department vs what’s specific to women’s soccer.
  2. Analytics tools are expensive
    1. Most bang for your buck – lots of software are expensive and $30k one time isn’t going to cover much. 
  3. What tools are known to provide ROI 
    1. “I thought about what is going to move the needle long term, what is research backed and how our tools impact recruiting” 

Take aways:

  1. At a macro-level Stanford athletics is not prioritizing budget for analytics. 
  2. Trainers see data analytics and reporting as important and would dedicate resources to it. 
  3. Trainers want to spend on products that have a clear ROI, in terms of their players health and performance.  

Assumption 2: 

NOTES:

Link to form athletes completed

  • Of the 5 respondents, three of them completed the self report form 2/3 of the tested days
  • Of the 5 respondents, two of them completed the self report form 3/3 of the tested days
  • The texts were sent out at 9pm every day, leaving some responses later or overnight
  • Some athletes needed an extra reminder to fill out the form 
  • Response times fell into two categories:
    • Athletes would respond quickly, within 30 minutesof the ping 
    • Athletes would respond slowly, several hours later or the next morning
  • Day 2 most sports had practice off, many athletes reported low pain and fatigue
  • Only two of the athletes used the free response prompt toreport substantial feedback to the trainer, but these two did this every day

Data:

Assumption 3: 

Notes:

  • Athlete 1 (E)- recently injured athlete with extensive recovery plan to be back at practice before season starts
    • Ideal reminder time: 3PM
    • Day 1: Did not complete
    • Day 2: Completed
    • Day 3: Completed
    • Comments: Athlete improved adherence as the experiment went on, found it helpful to have this time reminder
    • Example Reminder:
  • Athlete 2 (M)- non-injured athlete currently in season with teammates recently injured 
    • Ideal reminder time: 9PM
    • Day 1: Completed
    • Day 2: Completed
    • Day 3: Did not complete
    • Comments: “Wait thank you, I actually needed this reminder”
    • Example Reminder:
  • Athlete 3 (B)- Pre-season athlete ensuring she does not get injured before season starts
    • Ideal reminder time: 3:30PM
    • Day 1: Completed
    • Day 2: Completed
    • Day 3: Completed 
    • Comments: Athlete was very excited to receive pings and complete recovery. She even sent us photos documenting her recovery steps!
    • Example Reminder:
  • Athlete 4 (T)- Out of season athlete looking to build a more consistent recovery routine
    • Ideal reminder time: 10:30PM
    • Day 1: completed 
    • Day 2: completed 
    • Day 3: did not complete
    • Comments: On day 1 and day 2, athlete responded with “I actually will go roll out right now” immediately after the reminder was sent. 
    • Example Reminder:

Additional Info: 

Team Plan for Pinging Athletes (names removed for privacy)

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