The Value of Self-Reported Data
Farris Khan is Product Director at ForeSee Results and will be a contributing author to FreedYourMind.com. This is his first post.
A few weeks
ago, my wife and I decided to go to PF Chang’s, a very popular restaurant near
our home in Northville, MI. Usually we do not like to deal with the crowds, so we order takeout to get the same food without the long wait time. However, as is the case with many restaurants, it's more than just the food that makes the PF Chang's experience, so in this case, we decided to make an evening out of it.
We turned
around to find a seat. I was surprised to see that most everyone seemed
comfortable and relatively happy. There were two huge comfortable areas
for waiting that included padded seating. The menus were readily
available for those that wanted to get a head start on deciding what they
wanted. The restaurant also had a large bar for those that were
interested in spending some time there before dinner. There was a large
landscaped area in the front for those who wanted to enjoy the weather while
waiting outside.
Being in
the customer satisfaction industry, I had a natural inclination to check the
time and see if the table would really be ready in 20 minutes. I took
look at my cell phone to check the time, sat down and started talking with my
wife. The comfortable atmosphere actually made a negative (waiting for
the table) into a positive (enjoying the entire experience, not just the
food).
I enjoyed
the time in the lobby so much that I was not able to get an accurate read of
how long it actually took us to get a seat because I neglected to look at my
cell phone until after we actually sat down. I do believe that the wait
time was actually more than 20 minutes (perhaps 22 minutes?). However, if
I did not consciously look at the time initially with the intent of measure
this metric, I would have guessed that I waited only about 15 minutes.
If I were
responsible for Customer Satisfaction for PF Chang’s, I may employ two entirely
different strategies to improve the pre-dinner satisfaction experience.
Option 1:
If I were focused on “Hard metrics”, I may focus on reducing the average wait
time, let us assume from 22 minutes to 15 minutes. I could serve people
faster and therefore reduce the average time that people were sitting at the
table. I could increase the restaurant capacity.
If I were
to act on the first metric, reducing wait time, I would have likely increased
the capacity by adding tables while making the lobby and bar smaller and more
uncomfortable. The net effect may have been to reduce the wait time to 15
minutes. However, this action may actually have had a negative
impact on satisfaction and perceived wait time. Perhaps the actual wait
time would now be reduced to 15 minutes, but the perceived wait time would
actually be perhaps 22 minutes (the reverse of what actually happened).
Option 2:
Another strategy would be to measure the attitudes of people in terms of how
long they think they waited and also how satisfied they were with the
pre-dinner experience. Assuming that most people felt like me, they
likely perceived the time to be less than it actually was. Also, the wait
actually may have improved (not reduced) satisfaction and likely generated
positive revenue (appetizer and drink sales before dinner).
If I were
to act on these attitude and perception metrics, I would be more focused on
improving pre-dinner satisfaction and perceived wait time (not actual wait
time). I would likely want to keep the perceived wait time to be under 15
minutes (even if the actual wait time was 22 minutes). I would also focus
efforts to adding to the pre-dinner experience such as providing a sample of
some of the new entrees and adding some additional seating outside. This
effort would hopefully increase pre-dinner satisfaction.
Satisfaction Lesson Learned:
While knowing the actual average wait time is important, knowing satisfaction
and the perceived wait time may be equally or even more important. The
accurate measurement of attitudes including satisfaction and perceived
experience is often more valuable than the measurement of a “hard” metric.
As a
website manager, you may focus looking at metrics such as page views or task
completion or "engagement". When you spend money and effort
doing this, please do not forget to think about the "restaurant
pre-dinner metrics". Accurately measuring visitor satisfaction and
perceptions may actually be more important than accurately measuring what the
visitor actually did on the site.
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