0
Language
Understand your PQ Initial Recharge Level
Is your physiological battery life sufficient to support your daily Performance?

It is not only electric cars and phones where battery life needs to be monitored and managed.

Every individual has a measurable physiological daily Capacity based upon genetic and lifestyle factors. In the workplace 2 fundamental variables are in play:

1. Recovery from the previous 24 hours' activities.

2. The Performance (Stress) requirements for the day ahead.

The Initial Recharge Level is one of the 8 PQ Parameters. It establishes the baseline score with which an executive begins each day. This provides a clear picture of the Capacity of the individual to sustain the necessary performance intensity throughout the workday.

In the case of this Executive 1, recently measured,  we see an average score over the week of 3.76, indicating a consistently sub-optimal daily physiological platform, relative to potential. To extend the electric car analogy, this means that this individual has to reduce their energy expenditure to sustain performance through the day, like a driver lowering speed to preserve battery life. All because recharging was not 100% at the start of the day.


By contrast, Executive 2 scored an average of 9.67, which is very high when compared to PQ's database benchmarks for executives. They were able to deliver consistent, resilient performance through the day, close to the maximum of their current personal Capacity. 


In simple terms, Executive 2 can look at their daily diary confident in their resources to complete tasks to a high standard and perform consistently through the day. Executive 1 is underperforming relative to potential but was not aware of this until now. By analysing the 8 PQ Parameters it became clear that the volume of Daytime Stress was extremely high relative to Daytime Recovery. The workday routine was analysed and redesigned to:

remove unproductive activity which was delegated 

deliver pockets of micro Recovery

establish clear boundaries between work and personal time


World Champion Athlete Data
How does an elite athlete recover on a low intensity day? Do they self report accurately? What can executives learn?