KPI Dashboards – Highlight KPIs Based on Percentile [Part 3 or 6]

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Creating KPI Dashboards in Microsoft Excel is a series of 6 posts by Robert from Munich, Germany.

This 6 Part Tutorial on KPI Dashboards Teaches YOU:

Creating a Scrollable List View in Dashboard
Add Ability to Sort on Any KPI to the Dashboard
Highlight KPIs Based on Percentile
Add Microcharts to KPI Dashboards
Compare 2 KPIs in the Dashboards Using Form Controls
Show the Distribution of a KPI using Box Plots


The challenge – Adding Percentile Information

scroll-dashboard-kpi-excel-1Let’s get back to our last week’s KPI dashboard example: Adding sort options to excel dashboards. In today’s post we want our dashboard to take a step forward by adding another data analysis feature. Up to now the user is able to view a window of 10 rows out of a much larger list and to sort by any given decision parameter. But the KPI dashboard falls short if we want to evaluate the performance of the displayed items regarding the other 4 KPIs.

Imagine we are at the top of the list and the table is sorted by KPI 1 (see left). We see that “Product Name 36” is the TOP performer regarding KPI 1. But how does it perform regarding KPI 3? The value of 2% is probably rather poor, but how poor? Sure, we can change the sort order to KPI 3 and scroll down until we find product 36 and look at the ranking in the first column. But changing the sort order back and forth is in-convenient, time-consuming and not user-friendly.

The solution

management-dashboard-with-quartile-info

One statistical method to examine a list of data is the percentile. A percentile is the value of a variable below which a certain percent of observations fall (more). The 10% percentile of our list of values for KPI 3 returns the threshold at which 10% of all values are smaller than this threshold. We will use this method to classify the values of the KPIs that are not selected as the sort criteria by highlighting the values above the 90% percentile in green (10% best performers) and by highlighting the values below the 10% percentile in red (10% poorest performers).

After the highlighting we are now able to see immediately that Product 36 is best in class regarding KPI 1 but it belongs to the poorest 10% of all products regarding KPI 3.

Download the Excel file with KPI Dashboards and read on below how it is done.

The implementation

Implementation needs a simple conditional formatting and the excel spreadsheet function PERCENTILE. The syntax of this function is PERCENTILE (array, k), where ‘array’ is the range with the data and ‘k’ is the percentile value in a range between 0 and 1. PERCENTILE (A1:A100, 0.10) returns the threshold at which 10% of all values in the range are smaller than this value and the remaining 90% are larger than this value.

Here is the description how to change the workbook:

  1. Add two additional rows to the data worksheet to define the upper and lower percentile value.
  2. Insert five new columns on the dashboard each of them right to the existing column with the data.
  3. To simplify the formula, insert the number of each KPI in the cells below the header (F6 = 1; H6 = 2, and so on).
  4. how-quartile-percentile-calculated-excelFill the new columns with the following formula (example for cell G8):=IF (mySortCriteria=F$6,"",
    IF (F8>PERCENTILE (Calculation!$K$10:$K$109,Data!$E$5),"<+",
    IF (F8<-","")))

    If the actual column is the one the table is sorted by, a blank would be returned. Otherwise: if the value
    in the cell left is larger than the e.g. 90% percentile, “<+”, if the value is smaller than the 10% percentile “<-” will be returned. For all other values the result of the formula is a blank.

  5. conditional-formatting-dashboard-percentile-indicator
    Format the new columns with a red font color and add additional formatting that changes the font color to green if the cell value is “<+”.
  6. Finally add a caption under the table to help the user understand what the triangles are representing.

Final remarks

If you don’t like the triangles, you could easily replace them by a dot or a diamond or whatever you choose. Or you might want to change the colors or put the triangles to the left of the columns instead of the right. If you don’t like the extra columns next to the data, you could also use the described formula to conditionally format the cells with the data (e.g. with red and green fill color).

What’s next?

Make sure you have downloaded the KPI Dashboards XLS files – Click here

Up to now we have limited our dashboard to texts and numbers. Of course graphical visualization can always add much value for analysis. See next post: Part 4: Add Microcharts to KPI Dashboards

Also, Checkout our Excel Dashboards Page for more examples and resources.


Chandoo’s note: Robert is a regular reader of this blog, please leave your comments, questions, appreciations here and he will respond.

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19 Responses to “How to Distribute Players Between Teams – Evenly”

  1. Roshan Thayyil says:

    An excellent solution, especially for large data sets.

    Another solution without using solver would be to assign the player with the highest score to Team 1, the 2nd to team 2, 3rd to team 3, 4th to team 3, 5th to team 2, 6th to team 1, 7th to team 1 and it continues. This method would end up with a Std Dev of 0.001247219. This works best with a distribution with lower Std Dev for the dataset.

    Full Disclosure: this is not my idea, remember reading something a few years ago. Think it may have been Ozgrid

    • Roshan Thayyil says:

      thinking back I now remember why I read about it. About 10 years back I had to distribute around 300 team members into 25-30 odd teams. Used this method based on their performance scores. I used the method I described to do this and the distribution was pretty fair.

      Solver would have saved me a ton of time though 🙂

  2. I think the issue with you first Solver approach was that you took the absolute value of the sum of team deviations (which should always be zero except for rounding) instead of the sum of the absolute values (which is a reasonable measure of how unbalanced the teams are).

  3. Here's another simple algorithm you could use: you start from the top (with players sorted from high to low), and at each step allocate the next player to whichever team has the smallest total so far. You can implement it dynamically with some formulas so it will update automatically when the data changes.

    If the scores were more widely distributed (so that this might end up with not all teams the same size), you could add a constraint to only pick among the teams which currently have fewest players at each step, or just stop adding to any team when it hits its quota.

    When I tried it on the sample, I got the three teams below, with a STDEV of 0.000942809 (i.e. about half of what Solver got to).

    Team 1: John, Hugo, Tom, Josh, Eric, Zane, Charles, Andrew
    Team 2: Barry, Michael, Kenny, Joe, Xavier, Patrick, Oliver, William
    Team 3: Henry, Steven, Ben, Frank, Kyle, Edward, Cameron, Lachlan

    Thanks for sharing!

    • Ishaan says:

      Hi,
      I was looking at all the solutions and this is closest to what I intended to do. I am dividing a bunch of players into 3 soccer teams. Players availability is also a factor while deciding the teams.
      So the steps the excel needs to do is as follows:
      1) In availability column if "yes" go to next
      2) Equally divide 'Goalkeepers', 'Strikers', 'Defenders' basis their quality
      So the end result gives each 3 teams a balance of players playing at different positions.
      Can this be done on Google spreadsheet with only availability as an input from the user and rest calculates by itself.
      Sorry for asking such a pointed question, but I have been struggling to find a solution for it for sometime now!

      • Robin says:

        Hi Ishaan,

        I am working on a similar problem at the moment, so I am wondering if you ever found a solution and if you are willing to share what you did.

  4. Konrad says:

    Hi everyone, this is a variation of the famous Knapsack Problem https://en.wikipedia.org/wiki/Knapsack_problem.

    I had to use a VBA implementation recently as part of a problem, where we ar trying to allocate teams of an organization into different locations (we are a large company with many different team). The goal was to optimally allocate teams to individual buildings without putting too many teams into one building and not splitting teams apart.
    As we had around 400 teams of different sizes, solver couldn't handle it anymore. Luckily there is a Knapsack algorithm implementation in VBA readily available on the internet :).

    I also went with a heuristic approach first!

  5. Joe Egan says:

    An interesting mathematical solution but what if Eric and Xavier can't stand each other or Patrick is best friends with Steven - the real life problems that effect "even" teams.

    • Hui... says:

      @Joe

      You can add more criteria like
      If Eric and Xavier can't stand each other
      =OR(AND(E15=1,E16=1),AND(F15=1,F16=1),AND(G15=1,G16=1))
      It must be False

      If Patrick is best friends with Steven
      =OR(AND(E5=1,E17=1),AND(F5=1,F17=1),AND(G5=1,G17=1))
      It must be True

      Note that the 2 formulas above are exactly the same
      except for the ranges
      One must be True = Friends
      One must be False = Not Friends

  6. Gustavo Sousa says:

    Nice post Hui!

    I download your workbook and just try to change in options the Precision Restriction from 10E-6 to 10-8 and the Convergence from 10E-4 to 10E-10. The process take almost the same time, but the results was great.

    The standard deviation I got was 0,000471.

    Team 1: John, Tom, Kenny, Frank, Eric, Xavier, Edward, Zane
    Team 2: Steven, Hugo, Ben, Joe, Josh, Oliver, Cameron, William
    Team 3: Barry, Henry, Michael, Kyle, Patrick, Charles, Andrew, Lachlan

  7. Charlie says:

    Great application of Solver! Thanks for the link!

  8. Chuck says:

    Great explanation. Well done... However, I tried with 6 teams of 4 players and solver never did finish.

  9. Akbar says:

    How about vba code for the same data set.
    I have 3 column A B C wherein A has text and B has number Wherein C is blank. And in C1 been the header C2 where I want the name to come evenly distributed the number which is in Column B.
    My Lastcolumn is 1000.

  10. HRMFT says:

    Sorry if I'm being slow here, but how is 'Team Score' calculated? I've gone through the explanation several times but it seems to just appear.

    • Hui... says:

      @Hrmft

      This process uses the Solver Excel addin

      Solver is effectively taking the model and trying different solutions until it gets a solution that meets all the criteria
      Then solver puts the solution into the cell and moves to the next cell

      So yes it appears to "just appear"

  11. Caroline says:

    Hi ! Thank you so much ! Works great 🙂

  12. Jim Cruse says:

    I cannot get the fourth Equation to work in my excel spreadsheet
    You have =($E$2:$G$25=0)+($E$2:$G$25=1)=1 as a SUMIF solution, I have, =($F$2:$H$13=0)+($F$2:$H$13=1)=1 as my solution but it does not work. The only thing I changed is the ranges. Any suggestions?
    Thank you.
    Jim

  13. Jim Cruse says:

    I cannot get the fourth Equation of TURE or FALSE statements to work in my excel spreadsheet You have =($E$2:$G$25=0)+($E$2:$G$25=1)=1 as a SUMIF solution, I have, =($F$2:$H$13=0)+($F$2:$H$13=1)=1 as my solution but it does not work. The only thing I changed is the ranges. Any suggestions?
    Sorry I left some of it out in the previous question,
    Thank you. Jim

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