Using the Rise ScoreBook collector to create a “derivative” metric

The Rise ScoreBook collector was created to help rise.global ScoreBook managers to create derivative metrics from metrics (and score entries) they already have on any of the ScoreBooks they manage.

The benefit of this is to enable you to re-use the score entry data you’ve already brought into your ScoreBooks and so create a more sophisticated ScoreBook.

Examples of when you can use this Score Collector are:

  • You have 2 different ScoreBooks for the same group of users, and you decide you’d like to create a 3rd ScoreBook that will have a metric that will be a function of metrics in the first 2 ScoreBooks e.g. you’ve got ScoreBooks for 2017 and 2018 sales for your sales reps, and you want to create a ScoreBook that scores on the total of 2017 and 2018 sales.
  • You want to create a derivative metric on your existing ScoreBook that calculates the sum or difference of score entries recorded at different time points for another metric on the same ScoreBook e.g. you’re tracking weekly sales of your sales reps and you want to calculate the % change in sales between two consecutive weeks

An example of a ScoreBook that I’ve created using this feature is Twitter Followers Club pictured below:

If you’d like to follow my steps, I’ve provided full details of how I built this ScoreBook in this help article:

How do I create a ScoreBook with a metric which auto-calculates the difference between the two most recent score entries of an existing metric?

 

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s