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
0.0550
Dearfach lag
0.0286
Diúltach lag
-0.0174
Dearfach lag
0.0942
Dearfach lag
0.0349
Diúltach lag
-0.0159
Diúltach lag
-0.1552
Answer 2-
Dearfach lag
0.0186
Diúltach lag
-0.0052
Diúltach lag
-0.0393
Dearfach lag
0.0656
Dearfach lag
0.0490
Dearfach lag
0.0122
Diúltach lag
-0.0976
Answer 3-
Diúltach lag
-0.0017
Diúltach lag
-0.0092
Diúltach lag
-0.0448
Diúltach lag
-0.0447
Dearfach lag
0.0480
Dearfach lag
0.0745
Diúltach lag
-0.0186
Answer 4-
Dearfach lag
0.0418
Dearfach lag
0.0272
Diúltach lag
-0.0231
Dearfach lag
0.0179
Dearfach lag
0.0349
Dearfach lag
0.0241
Diúltach lag
-0.0985
Answer 5-
Dearfach lag
0.0270
Dearfach lag
0.1295
Dearfach lag
0.0102
Dearfach lag
0.0766
Dearfach lag
0.0002
Diúltach lag
-0.0181
Diúltach lag
-0.1786
Answer 6-
Diúltach lag
-0.0033
Dearfach lag
0.0048
Diúltach lag
-0.0623
Diúltach lag
-0.0092
Dearfach lag
0.0248
Dearfach lag
0.0865
Diúltach lag
-0.0344
Answer 7-
Dearfach lag
0.0098
Dearfach lag
0.0339
Diúltach lag
-0.0663
Diúltach lag
-0.0312
Dearfach lag
0.0523
Dearfach lag
0.0695
Diúltach lag
-0.0513
Answer 8-
Dearfach lag
0.0630
Dearfach lag
0.0733
Diúltach lag
-0.0277
Dearfach lag
0.0139
Dearfach lag
0.0374
Dearfach lag
0.0179
Diúltach lag
-0.1338
Answer 9-
Dearfach lag
0.0731
Dearfach lag
0.1620
Dearfach lag
0.0066
Dearfach lag
0.0639
Diúltach lag
-0.0107
Diúltach lag
-0.0483
Diúltach lag
-0.1810
Answer 10-
Dearfach lag
0.0754
Dearfach lag
0.0682
Diúltach lag
-0.0141
Dearfach lag
0.0286
Dearfach lag
0.0344
Diúltach lag
-0.0115
Diúltach lag
-0.1344
Answer 11-
Dearfach lag
0.0628
Dearfach lag
0.0536
Diúltach lag
-0.0093
Dearfach lag
0.0106
Dearfach lag
0.0243
Dearfach lag
0.0255
Diúltach lag
-0.1259
Answer 12-
Dearfach lag
0.0439
Dearfach lag
0.0943
Diúltach lag
-0.0343
Dearfach lag
0.0335
Dearfach lag
0.0339
Dearfach lag
0.0263
Diúltach lag
-0.1534
Answer 13-
Dearfach lag
0.0705
Dearfach lag
0.0959
Diúltach lag
-0.0391
Dearfach lag
0.0294
Dearfach lag
0.0416
Dearfach lag
0.0147
Diúltach lag
-0.1630
Answer 14-
Dearfach lag
0.0787
Dearfach lag
0.0906
Diúltach lag
-0.0024
Diúltach lag
-0.0091
Dearfach lag
0.0044
Dearfach lag
0.0140
Diúltach lag
-0.1224
Answer 15-
Dearfach lag
0.0535
Dearfach lag
0.1280
Diúltach lag
-0.0347
Dearfach lag
0.0145
Diúltach lag
-0.0171
Dearfach lag
0.0244
Diúltach lag
-0.1158
Answer 16-
Dearfach lag
0.0698
Dearfach lag
0.0265
Diúltach lag
-0.0372
Diúltach lag
-0.0378
Dearfach lag
0.0699
Dearfach lag
0.0208
Diúltach lag
-0.0790


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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