- A powerful feature
of the risk measurement approach we've covered
is the ability to compare your future states
to any previously measured state.
But to take advantage of this feature,
you need to make sure future data is comparable.
Similar in concept to a longitudinal scientific survey,
you want to take structured observations
of the same variables over long periods of time.
This approach will help you keep the next data you collect
comparable with previous and future data.
To ensure consistency from measurement to measurement,
always conduct the initial training for experts
even if they've been trained before.
Also, try to interview the same people
in the same departments.
If that's not possible,
try to choose someone
who has a similar work experience profile
as your previous expert,
such as the number of years
they've been working in their job.
And be sure to use the same score key
to measure the controls.
The introduction of new controls is inevitable,
but keep the quantity of changes to a minimal level
and keep good documentation.
One common challenge
would be when your organization has outgrown
the interview style of data collection.
It may hurt your program
to stick with a method
that takes more and more time to complete each year.
To prevent that, be willing to switch to online surveys.