Patrick E. Merlevede,
M.Sc
Last update by the author on 5th October 1998.
"Using NLP" in business can be interpreted in several ways. First, one could look into which specific NLP models are transferable to a business situation. Second, one can use NLP technology to model excellence in business, and make a transferable model out of it. Third, one can combine both.
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In the remaining of this web-page we put the focus of applying some variations of "classic NLP" material in a business context. For more information on using NLP for making models: read a paper I Wrote about that subject. Even if NLP offers you powerful material, you may want to know that current research offers possibilities going beyond NLP. Neuro-Logistics aims at going beyond classic NLP material. It reconnects NLP with more recent findings from the field of Cognitive Sciences.
The TOTE and SMART models are planning tools, helping you to come from your
currrent situation to a desired situation, or outcome.
The SMART model is well known from the world of Quality Management. The TOTE
model is one of the basic models used in NLP. However, it was originated by
Miller in 1956.
When I gave a first presentation on combining SMART & TOTE, a few other NLP
trainers among my test audience knew about the SMART model. Not surprisingly,
they also had a business background.
SMART is an acronym. It stands for :
"Specific" means that the outcome you want is well
specified, so that all persons agreeing on the outcome have the same idea of
what they are going for. This fits together with "Measurable",
meaning that you can measure the outcome you get. If you know what you want, and
you know how you know that you reach it, then you are already half way obtaining
it. The outcome you are going for should be accepted by those
responsible for getting the outcome (mostly the whole group deciding upon the
outcome).
"Realization": Planning for reaching a goal also means setting out the
actions (steps) you think you need for reaching that goal.. The Planned actions
should be flexible: if getting the outcome requires an action that was not
planned for, try adding that action to your choices (if not, you are limiting
yourself, and possibly decreasing the chances you'll reach your outcome. If an
action does not work, try something else. For increasing the chances that you'll
run out of actions before reaching your goal, do your homework while setting up
your realization plan. This means taking into account the possible risks (risk
analysis) and the (needed) resources for the actions.
Once you have your action plan, you have to decide upon the timing,
taking into account the available resources, the wanted deadline, etc. Be
realistic: a lot of projects "fail" or are overdue because the needed
resources are not available at the moment you planned for them.
SMART is a way to get the outcomes that you want, by making them specific and measurable. However, these elements are not enough to reach the outcome. Everyone has to be committed to the outcome (it has to be acceptable for them). There must be a realization plan (the steps it takes to get to the result) and a reasonable timing must be set to reach the outcome. Working trough each of the 5 points increases the chances to get the results you want in the smoothest way possible. This tool can be used individually as well as in team.
In NLP, the TOTE and SCORE models help you reach the same goal. However, in the way they are typically used in NLP, they stress the structure of subjective experience, where in business it pays to focus the SMART on the content of the goal you want to reach. On the other hand, SMART stresses on timing. You may want to know that putting time as a part of the goal may reduce your effectivity in reaching the goal.
To get SMART "into the walls" of a company is not that easy. If the company is not following the philosophy behind, it can take months and a lot of commitment from management to get it implemented. Implementing it is as difficult as other change work. Based on the training I worked out, I think it takes one day to get people really into the SMART way of working (groups of 12 to 20 persons). The training both include the model (with individual applications and group applications) and a series of practical excersises.
Gathering information is something that is important in a lot of jobs. This
is obvious when you do knowledge acquisition, where the jobs is only asking
questions so that you can make a model out of that knowledge. For some people
this is less obvious for other domains. But when you talk to a modern
salesperson, he'll tell you that asking questions and getting a good idea of the
way the customer thinks, and what are his needs are crucial elements, more than
talking about your product.
To illustrate what NLP does in this area, I wrote a web-page about asking
questions.
I'm working as a managing consultant for Acknowledge, a company specialized
in Knowledge Management and HRM (read about
Acknowledge). Our vision of the future is that Knowledge is the most
important asset to make a difference in the future. My personal mission is to
acquire knowledge and to pass it on to others. The ways to distribute knowledge
range from designing a training, over writing manual or developing web pages to
building complex expert systems (see my C.V.).
In my company, and in related companies in our network, we use NLP both at the
acquisition side (to get the information faster, and more accurate) as on the
distribution side (e.g. we followed NLP trainer's training to have better skills
and to give better training).
Apart doing consulting from within a company structure, I'm also training NLP
related material. I bring most material from a context of teaching Emotional
Intelligence in a form that is useful for people in a business environment (see
the site on EQ). Some examples of this are "training on asking
questions" and "training on making plans" (e.g.
TOTE-model). NLP related training material can be easily embedded in a sales
course or in a leadership training programme. Often, my trainings go beyond the
"classic NLP": I combine it with more recent findings from the field
of cognitive sciences.