Performance Goals Part 2: Using Data to Make a Plan

JumpClear is a great tool for identifying your best opportunities to improve your results and setting measurable goals.

Yesterday we gave an example of using JumpClear data to identify an opportunity for improvement and set a goal.  But now what?  What do you do with all these numbers?  

(To be clear, JumpClear data isn't going to be a silver bullet.  The goal is to give a rider & trainer information to identify a challenge and be part of their overall tool kit for horse management and training). 

Fault Source Analysis encompasses 6 metrics.  We only used Jump Detail to set our goal but the data around the other metrics tells us a lot more about this particular challenge.

Using the same example - which full disclosure, is one of my horses - this is what happens when you zoom in on just Skinny jumps:

100% of faults are off the left lead

100% of faults are with a front leg

60% are at a single technicality

Hmmm...We now have a pretty consistent defined situation to problem solve and maybe come up with some mental cues. 

We also have a really concrete and bite-sized goal.  Recalling the "Model" course jump distribution, Skinny Jumps were calculated to be 4.7% of total jumps over 12 months.  If we use some other data around the average number of classes JumpClear members contest, that comes out to 24.8 Skinny Jumps.  If we assume they are evenly spread across leads, we're down to 12.4 Skinny Jumps to make a particular focus.  

Over a year of jumps, that feels like we've narrowed it down to a pretty achievable goal!