Skip to main content

tuning in the big picture


Understanding the big picture is absolutely critical in providing superior service. We are not talking about being able to replace the part or a series of parts with the hopes that you are actually fixing the root problem, this is not service and simply describes "parts changers". We know that just because you replace a compressor or a VFD does not mean that the service technician really understands the entire operation and most importantly how the repair impacts the customers confidence and/or perception. While the big picture is often defined as a 20,000 foot perspective, and ignored by many detail oriented people, it is important to understand the entire lifecycle of an asset because it is within this understanding that you will actually improve the level of service you are delivering to your client.



As time goes by our "big picture" will become a bit fuzzy as the results of emerging technology. Black boxes, or those items which we cannot see the inside of, will prevail in our marketplace and be an integral part of many operations. It is our understanding of the big picture which will ensure that the input and the output of these black boxes are appropriate for the requirements. Curious if your field workers see the big picture? Give these exercises a whirl, as the field worker: 

  • identify a major component, for instance an air handler motor. Then ask them to identify the top three issues which the client may have called in related to a failed air handler motor
  • identify at least two parts or components surrounding that major component which may be impacted by the failure and those related components which could be enhanced



If you have implemented a process to capture this information and share it with your other field workers you will be well on your way to painting a very clear "big picture".



What are your thoughts?



-----

Next post:  incomplete notifications to clients?

-----

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...