Looks Can Be Deceiving

One common mistake when observing the results of a change is seeing symptoms go away
and assuming that the problem has been solved. For example, assume that users are complaining
about slow response time while accessing the Internet. In the course of troubleshooting,
you find and correct some non-optimally-configured interface settings on the
router on the users’ segment. You then go back to the user who originally reported the problem.
She reports that everything is running fine now. However, she neglects to mention the
fact that there was a shift change, and now only two people are connecting to the Internet
where there used to be 50. The next day, when all of the users are back online, the problem
repeats itself. If an analysis of the observations had been done, it would have demonstrated
that the traffic flow to the Internet had dropped off and that this could be a contributing factor
to the improvement in response times.
As is demonstrated in this example, failure to analyze your observations creates the risk that
important information can be overlooked and the problem will recur. To avoid this possibility,
make sure to look at the entire scope of the problem. Use your network management tools to
help you determine whether the problem is really resolved. You can also look at your network
baseline information to find out what the “normal” traffic pattern looks like. In this example, it
should show a sharp drop-off in utilization when the shift changes. This would tell you that the
improvement in connection speed may not be due to the interface changes you’ve made, but
rather due to a lower volume of traffic. More verification may be needed.