tástáil bhunaithe leabhair «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Urraitheoirí

The Tale of the Tall Oak

Once upon a time, there was a tiny oak tree sapling named Peety. Peety dreamed of growing up into a mighty oak tree. 


Each year, Peety grew a little bit taller. He stretched his branches toward the sun and felt his trunk thicken as he grew. 


Over many years, Peety grew from a sapling into a young tree and finally into a tall, mature oak! He was so tall that he could see over the whole forest.


Peety noticed that the other tall oak trees had thick trunks, too. His friend Paul reached high into the sky just like Peety. Paul's trunk was thick and sturdy at the base. 


The small saplings that were sprouting had skinny little trunks. But Peety knew that would change over time as they grew taller.


Peety realized that, just like him, the taller an oak tree was, the thicker its trunk became. 


So even though the forest was filled with all different sizes of oak trees, Peety noticed a pattern - a correlation between tree height and trunk width. The tall trees always had thicker trunks, while the small saplings had skinny trunks. This was how pine trees grew strong enough to reach great heights! 


If you record how a tree grows - its height and trunk thickness - and plot it on a picture or graph, then the correlation is when these two things change together. That is, if you see that one is increasing, the other is also increasing, and vice versa.


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving a "Fears" poll. It asks people to rate different fears from 0 (not scary) to 5 (very scary). 


Now imagine 100 people who took both tests. You could match up each person's SDTEST® colors with their rated fears.


If people high in Blue values feared uncertainty more, that insight ties values to perceptions. Blue people may resist change more.


Or if Orange achievers feared failure most, that reveals their drive. They may overwork to avoid mistakes.


Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!


Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like how your hobbies show what activities you enjoy most. Combined, they paint a richer picture of what motivates our thoughts and deeds.


Below you can read an abridged version of the results of our VUCA poll “Fears“. The full results of our VUCA poll “Fears“ are available for free in the FAQ section after login or registration.


Eagla

Tír
Teanga
-
Mail
Athchúrsáil
Luach criticiúil an chomhéifeacht comhghaoil
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0318
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0318
Dáileadh Neamh -Ghnáth, le Spearman r = 0.0013
ImdháileadhNeamhghnáchNeamhghnáchNeamhghnáchGnáth-Gnáth-Gnáth-Gnáth-Gnáth-
Gach ceist
Gach ceist
Is é an t-eagla is mó atá agam ná
Is é an t-eagla is mó atá agam ná
Answer 1-
Dearfach lag
0.0526
Dearfach lag
0.0260
Diúltach lag
-0.0183
Dearfach lag
0.0946
Dearfach lag
0.0358
Diúltach lag
-0.0143
Diúltach lag
-0.1540
Answer 2-
Dearfach lag
0.0175
Diúltach lag
-0.0058
Diúltach lag
-0.0388
Dearfach lag
0.0668
Dearfach lag
0.0496
Dearfach lag
0.0117
Diúltach lag
-0.0970
Answer 3-
Diúltach lag
-0.0035
Diúltach lag
-0.0091
Diúltach lag
-0.0441
Diúltach lag
-0.0435
Dearfach lag
0.0478
Dearfach lag
0.0747
Diúltach lag
-0.0200
Answer 4-
Dearfach lag
0.0414
Dearfach lag
0.0257
Diúltach lag
-0.0232
Dearfach lag
0.0188
Dearfach lag
0.0356
Dearfach lag
0.0249
Diúltach lag
-0.0993
Answer 5-
Dearfach lag
0.0226
Dearfach lag
0.1270
Dearfach lag
0.0111
Dearfach lag
0.0773
Diúltach lag
-0.0008
Diúltach lag
-0.0177
Diúltach lag
-0.1772
Answer 6-
Diúltach lag
-0.0057
Dearfach lag
0.0040
Diúltach lag
-0.0620
Diúltach lag
-0.0076
Dearfach lag
0.0246
Dearfach lag
0.0860
Diúltach lag
-0.0351
Answer 7-
Dearfach lag
0.0082
Dearfach lag
0.0329
Diúltach lag
-0.0653
Diúltach lag
-0.0294
Dearfach lag
0.0519
Dearfach lag
0.0693
Diúltach lag
-0.0520
Answer 8-
Dearfach lag
0.0627
Dearfach lag
0.0709
Diúltach lag
-0.0265
Dearfach lag
0.0134
Dearfach lag
0.0376
Dearfach lag
0.0181
Diúltach lag
-0.1337
Answer 9-
Dearfach lag
0.0710
Dearfach lag
0.1600
Dearfach lag
0.0074
Dearfach lag
0.0646
Diúltach lag
-0.0109
Diúltach lag
-0.0487
Diúltach lag
-0.1817
Answer 10-
Dearfach lag
0.0739
Dearfach lag
0.0654
Diúltach lag
-0.0147
Dearfach lag
0.0296
Dearfach lag
0.0318
Diúltach lag
-0.0126
Diúltach lag
-0.1357
Answer 11-
Dearfach lag
0.0627
Dearfach lag
0.0522
Diúltach lag
-0.0096
Dearfach lag
0.0108
Dearfach lag
0.0250
Dearfach lag
0.0244
Diúltach lag
-0.1268
Answer 12-
Dearfach lag
0.0431
Dearfach lag
0.0920
Diúltach lag
-0.0336
Dearfach lag
0.0339
Dearfach lag
0.0327
Dearfach lag
0.0254
Diúltach lag
-0.1537
Answer 13-
Dearfach lag
0.0685
Dearfach lag
0.0956
Diúltach lag
-0.0394
Dearfach lag
0.0308
Dearfach lag
0.0405
Dearfach lag
0.0148
Diúltach lag
-0.1628
Answer 14-
Dearfach lag
0.0779
Dearfach lag
0.0883
Diúltach lag
-0.0001
Diúltach lag
-0.0092
Dearfach lag
0.0046
Dearfach lag
0.0135
Diúltach lag
-0.1225
Answer 15-
Dearfach lag
0.0537
Dearfach lag
0.1267
Diúltach lag
-0.0337
Dearfach lag
0.0152
Diúltach lag
-0.0175
Dearfach lag
0.0234
Diúltach lag
-0.1158
Answer 16-
Dearfach lag
0.0689
Dearfach lag
0.0247
Diúltach lag
-0.0371
Diúltach lag
-0.0383
Dearfach lag
0.0702
Dearfach lag
0.0203
Diúltach lag
-0.0791


Easpórtáil go MS Excel
Beidh an fheidhmiúlacht seo ar fáil i do vótaíochtaí VUCA féin
Go maith

2023.11.22
Valerii Kosenko
Úinéir Táirge SaaS SDTEST®

Cáilíodh Valerii mar oideolaí-síceolaí sóisialta i 1993 agus tá a chuid eolais i mbainistíocht tionscadal curtha i bhfeidhm aige ó shin.
Ghnóthaigh Valerii céim Mháistreachta agus cáilíocht an bhainisteora tionscadail agus clár in 2013. Le linn a chláir Mháistreachta, chuir sé aithne ar Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) agus Spiral Dynamics.
Is é Valerii an t-údar a rinne iniúchadh ar éiginnteacht an V.U.C.A. coincheap ag baint úsáide as Dinimic Bíseach agus staitisticí matamaitice sa tsíceolaíocht, agus 38 vótaíocht idirnáisiúnta.
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