NLP At Work : The Difference That Makes the Difference in Business

58 NLP AT WORK

a Abstract, global descriptions, e.g., spacious, airy, dark, traditional. These are words that are

nonspecific. More examples of this kind of description would be: roomy, large, small, comfortable,

convenient, well situated.

Number of abstract words in your example = (write in your total here)

b Detailed, precise descriptions, e.g., nx nmeters, temperature, number of doors, windows, etc., color

of surroundings. More examples of this kind of description would be: brick building, three bedrooms,

10 x 4 garden, end terrace, combined kitchen/dining room, in SW16 district of London.

Number of precise words in your example = (write in your total here)

If you have a larger total for (a) your preference is big chunk thinking. A larger total for (b) would indicate

a preference for small chunk thinking. It is possible that you have used both and that the scores are equal.

Past/present/future

For question 10, circle the ones you ticked in the following columns:

Past Present Future

abd

ceg

fhi

ljk

mn o

qr p

Write in the total of letters circled in each column. The highest score represents your more preferred style,

the lowest score your least preferred style.

Activity/person/object/place/time

Circle ones you ticked in the columns below:

Activity Person Object Place Time

Question 11 e a b c d

Question 12 b a c d e

Question 13 b c d e a

Question 14 c a c b d