The main part of an HR or workforce analytics projects is when all analyses have been done and you need to put 1 and 1 together to find the actual insights, the causes of your issues, the solution to your problem. Statistics help you well but can only take you so far. This is where the inter-relations plot can help out. You don't need to be a statistician to work with it and it will help you a lot to understand how events are impacting each other and to determine root causes.

1. 1

2. Problem/
Question
Understand
the business
question
Create the
hypothesis
and concept
analysis tree
2
Data
Analysis
Insights
Look for data
sources,
define and/or
create
Collect data
Cleansing and
enhancement
Run analysis
Review
analysis tree
Combine and
translate
analysis
results to real
insights and
actions
Presenting
Reporting
(Action)
Effective
reporting and
visualization
of results

3. 1.
2.
unit A : average age 32 year; unit B: 40 year
unit A : average product quality 2.6; unit B 4
unit A : average number of days of training 19; unit B 52
unit A : average tenure 7 years; B average 13 jaar
3.
Managers in unit A on average have a span of control of over 8 direct reports, while managers in
unit B on average have 6.5 direct reports.
4.
The performance score of managers within unit A is, on average, 3.2. The average score for
managers of unit B is 3.1.
5.
Service quality of unit B is rated with 8 (out of 10), service quality rating for unit A is 6 (out of 10)
6.
Managers of unit A have been working for the company on average for 12 years, while this is 13
years for managers from unit B
7.
Managers in unit A had on average 27 days of training, B 58 days
8.
3
The quality of the service an employee delivers depends on the quality of the product, the age of
the employee and the number of training days.
In unit A the bonus is on average 10% while this is 9% on average for B

4. Statistical tools will help you find correlations between events. However, they do not
tell you about the cause and effect. The inter-relationship plot helps you identify
relations of cause and effect between factors (by reasoning).
It's a bit like 'mind-mapping'. Put all the factors on a board and discuss the relationship
between each combination of two factors. Not the "strength" of the relationship
(which comes from statistics) but the direction of the relationship: between the two
what is the cause and what is the effect? An important rule: Only one direction
possible! So choose. Draw an arrow between the two factors in order to show the
direction of a connection. No connection or weak means no arrow. Do this for all
aspects.
Then add together the number of outgoing and incoming arrows per factor. The
factors with the most outgoing arrows are called the 'root causes' or 'drivers'. The
factors with the most incoming arrows, are the 'bottlenecks‘, i.e. the visible (final)
problem you want to solve.
4

5. 3/1
2/0
Low quality
Managers
High demands of
customers
3/0
0/5
Less skills and
experience
Lower customer
satisfaction
Lower working pace
1 /4
5
Low quality of tools
and instructions
2/1

6. "A good hockey player plays
where the puck is. A great
hockey player plays where
the puck is going to be.“
Wayne Gretzky
6
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