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The path well traveled

At the end of the last chapter, we had a look at the recruitment process of a large company. In this chapter, we'll look at this process in more detail. Let's start by investigating the happy path of the process. Does this also include the frequent repetitions we observed in the previous chapter?

This exercise is part of the course

Business Process Analytics in R

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Exercise instructions

  • Use filter_trace_frequency() to select the top 20% most common variants of the vacancies process. Store the result in happy_path.
  • Visualize the happy path using a process map. Show the absolute case frequency by setting frequency()'s value to "absolute_case".
  • It seems that the "Restart procedure" activity is absent in the happy path. The overall average throughput time was 215 days. What is the average throughput time for the happy path?

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Select top 20% of cases according to trace frequency
happy_path <- vacancies %>% 
  ___(___)

# Draw a process map of absolute case frequency
happy_path %>% 
  ___(type = ___(value = ___))

# Compute throughput time (in days)
___ %>% 
  ___(units = "days")
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