Skip to main content

criticism always caustic?


The "social sphere" was blowing up this morning mentioning our WeHelpU service company.  When influential Irene heard the news she was ecstatic; "our efforts are finally paying off"! Irene began to sift through the myriad social channels, skimming the posts and tweets.  It did not take long for her feelings of jubilation to shift to absolute horror as the context of their newfound "viral" popularity had flooded the Internet.  Apparently a customer had started a thread of conversation regarding one of our field workers, for now let's call him dumb-a** Dan. Dan had been hired a couple of months ago and nothing seemed out of the ordinary. However with the new liberation in the state of California, Dan was observed by a customer toking away in the parking lot. Our customer's tweet read "my highly skilled field technician is in the parking lot getting high before working on my facility, wonder how this will turn out"?



So it started, in this age of "pathetic social pile-on" , the news of Dan is spreading faster than the bubbles rising from his crack pipe.  In the past this incident, which was clearly wrong, would have been isolated to a small group of individuals.  Service organizations have always solicited customer feedback and welcomed criticism, all part of the learning process.  Resolution came in the form of hitting the problem head-on, and in most instances provided an opportunity for us to strengthen client relationships.  Irene pondered; in the age of digitally connected distance (see past post "digital distance"), could it be that the reach of this "social wildfire" is controllable?  Is the excuse, "I can't control the social environments" really a cop-out?  Does criticism, at least when it gains exponential momentum, caustic?  



Overwhelmed Oscar, whom heretofore had been hiding under the desk, jumped up and exclaimed; "we can't control what people say; however, we can continue to build strong relationships and trust with our clients". 



-----

Next post:  who's data is it?

Comments

Popular posts from this blog

Speaking AI (artifical intelligence)

You're talking but I can't hear you.   Everyone can certainly understand this condition; the "Peanuts" parents who sounded exactly like your own, your significant other while you watch your favorite game on TV, or most importantly a work colleague or partner which you are attempting to communicate a thought or vision.   All of these, and many other examples, have plagued our organizations long past the childhood game of telephone (passing your words to another, and on to another, etc.).   So what?   What has changed?   Besides the velocity of products hitting the market, the requirements that we have for our business now needs to be interpreted by data scientists, yet another abstraction layer from the field conditions.   Think about this example; TODAY :   we often think in binary terms, if "x" happens do "y" …   take a sales person seeking potential leads by searching a system for the last time we made contact TOMMOR...

months to aquire, moments to lose

It is just hard to imagine that one of the most common reasons maintenance contracts are lost is because people don't show up and don't pay attention to the details.   In many cases maintenance is an investment to keep the life of your asset running for a protracted period of time. However the length on many maintenance contracts is not even close to the life expectancy of that equipment, so if you don't really have any idea what maintenance is being performed then how do you really know if it's being done to your specification? Thus, it really boils down to business elements, assuming that you are actually performing the work, our focus needs to be on how you are differentiated. Let's take a look at a couple of the most common business-related reasons why people lose maintenance contracts. Not showing up ; managing contracts can be complicated between the sites, number of assets, and the frequencies at which items need to be maintained, can a...

is seeing comprehending?

Oh yeah, visual inspections are why God gave us eyes.   There is not a single machine learning, IoT, computerized environment that can match the skills a human's brain can assess and deliver based on visual feedback. The trick is making sure that the person connected to those eyeballs actually knows what they are looking for!   Face it, aren't the best workers those that can recognize an issue long before it becomes a problem? So instead, is the challenge really not that they can visually see, but instead that they can comprehend and correlate potential challenges? While we have many different definitions for "wisdom" in context of this topic, I think about it as those individuals which have had the most experience, both good and bad. Coincidentally I am a firm believer that the best service people are those that make the most frequent mistakes. When I was in the field I had lots of experience screwing things up. The difference is that I would always check and tri...