Track Whatever

You can track values for anything over time and graph and compare the results in interesting ways.

Whatever you want to track, you can do it in 3 easy steps.

1. Create a focus
2. Add datasets
3. Record results

Want some examples?

1. Create a focus
   • Fitness
   • Triathlon preparation
   • Koala numbers and movements
2. For your focus, add some datasets you want to track
   • Fitness
     • Weight (kg)
     • Oxygen Saturation (SpO2 level)
     • Cardio (hrs/day)
   • Triathlon preparation
     • Swim split time (minutes)
     • Bike split time (minutes)
     • Lactate level 1 (LT1)
     • Lactate level 2 (LT2)
   • Koala Numbers and movements
     • Koalas in Area A
     • Koalas in Area A for the first time
     • Koalas in Area A with a baby
3. Finally, for each dataset in your focus, track your results over time
   • Fitness
     • Weight (kg)
       • 87.26 (kg)
       • 86.73 (kg)
     • Oxygen Saturation (SpO2 level)
       • 97.25 (% SpO2 level)
       • 97.83 (% SpO2 level)
     • Cardio (hrs/day)
       • 1.50 (hrs)
       • 1.25 (hrs)
   • ... etc ..

Note that for each dataset, all of the results are plain numbers. That is important.

Obviously, for any dataset you can graph its results over time to see any trends visually.

What is truely powerful, however, is that in a single graph you can compare and contrast one dataset with any other datasets.

The actual numbers in your results are usaully not as important as the the trends. What can be really exciting is contrasting the visible trends in your different datasets on the same graph.

How does Cardio really effect your personal Oxygen Saturation (SpO2 level) on the day you do Cardio and the days after?

How does 1 new koala entering Area A effect the number of koalas with babies in the following months?

Start tracking your data. It is anonymous. It is easy. It gets [addictive/exciting/etc].