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November 11th, 2016, 04:09 AM   #1
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Scoring performance / normalising? standardising?

First time poster, have had a browse of the open question forum but can't find an answer to my problem... I don't know whether "normalising" is the correct term here or really what the terminology is for what I'm trying to achieve... so be gentle...

I am required to generate a "score" for members of a team, based around a list of different criteria.

Each criteria ultimately gives a reasonably convenient score that can be expressed as a %.

So far so good. I had thought I could take an average of the % and be done.

Key issue / problem for me here is that, of a total of 8 or so criteria, not all come in to play for each member. So, for members with less criteria in play, any low scores have a greater impact than for members with more criteria in play.

For example:

Member a
criteria 1: 100%
Criteria 2: 100%
Criteria 3: 75%
Criteria 4: 100%
Average score: 93.75%

Member b
criteria 1: 100%
Criteria 2: 100%
Criteria 3: 75%
Criteria 4: n/a
Average score: 91.66%

Ultimately meaning, member b is more negatively impacted for making the same error as member a. This scoring system is a hugely contentious topic!

What options do I have for correcting the disadvantage for member b?

Thanks in advance!

Last edited by skipjack; November 11th, 2016 at 08:44 AM.
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November 11th, 2016, 04:21 AM   #2
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If you want to make a scoring system based on 'error', then you could change the results to be (100% - quoted value) and then just total up the error. Something like this:

Member a
criteria 1: 0%
Criteria 2: 0%
Criteria 3: 25%
Criteria 4: 0%
Total 'error': 25%

Member b
criteria 1: 0%
Criteria 2: 0%
Criteria 3: 25%
Criteria 4: n/a
Total 'error': 25%

Then you base your score on the total 'error' value.

If you want some sort of metric for average that doesn't depend on the number of points, then I think you're going to be out of luck.
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November 11th, 2016, 04:33 AM   #3
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Thanks Benit13

That's something I can work with, I think. I'm off to trawl through the spreadsheets.

Last edited by skipjack; November 11th, 2016 at 08:45 AM.
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