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 = 0.0317
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0317
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
0.0542
Dearfach lag
0.0279
Diúltach lag
-0.0173
Dearfach lag
0.0947
Dearfach lag
0.0375
Diúltach lag
-0.0177
Diúltach lag
-0.1556
Answer 2-
Dearfach lag
0.0199
Diúltach lag
-0.0053
Diúltach lag
-0.0387
Dearfach lag
0.0657
Dearfach lag
0.0500
Dearfach lag
0.0105
Diúltach lag
-0.0986
Answer 3-
Diúltach lag
-0.0008
Diúltach lag
-0.0092
Diúltach lag
-0.0445
Diúltach lag
-0.0440
Dearfach lag
0.0482
Dearfach lag
0.0750
Diúltach lag
-0.0208
Answer 4-
Dearfach lag
0.0436
Dearfach lag
0.0280
Diúltach lag
-0.0227
Dearfach lag
0.0163
Dearfach lag
0.0363
Dearfach lag
0.0226
Diúltach lag
-0.0990
Answer 5-
Dearfach lag
0.0271
Dearfach lag
0.1292
Dearfach lag
0.0114
Dearfach lag
0.0755
Dearfach lag
0.0009
Diúltach lag
-0.0177
Diúltach lag
-0.1792
Answer 6-
Diúltach lag
-0.0018
Dearfach lag
0.0051
Diúltach lag
-0.0606
Diúltach lag
-0.0094
Dearfach lag
0.0256
Dearfach lag
0.0847
Diúltach lag
-0.0362
Answer 7-
Dearfach lag
0.0112
Dearfach lag
0.0344
Diúltach lag
-0.0659
Diúltach lag
-0.0305
Dearfach lag
0.0522
Dearfach lag
0.0684
Diúltach lag
-0.0527
Answer 8-
Dearfach lag
0.0643
Dearfach lag
0.0727
Diúltach lag
-0.0260
Dearfach lag
0.0139
Dearfach lag
0.0384
Dearfach lag
0.0156
Diúltach lag
-0.1347
Answer 9-
Dearfach lag
0.0740
Dearfach lag
0.1606
Dearfach lag
0.0065
Dearfach lag
0.0630
Diúltach lag
-0.0071
Diúltach lag
-0.0490
Diúltach lag
-0.1823
Answer 10-
Dearfach lag
0.0763
Dearfach lag
0.0668
Diúltach lag
-0.0127
Dearfach lag
0.0280
Dearfach lag
0.0361
Diúltach lag
-0.0133
Diúltach lag
-0.1346
Answer 11-
Dearfach lag
0.0632
Dearfach lag
0.0524
Diúltach lag
-0.0077
Dearfach lag
0.0102
Dearfach lag
0.0261
Dearfach lag
0.0239
Diúltach lag
-0.1267
Answer 12-
Dearfach lag
0.0450
Dearfach lag
0.0947
Diúltach lag
-0.0325
Dearfach lag
0.0317
Dearfach lag
0.0339
Dearfach lag
0.0256
Diúltach lag
-0.1536
Answer 13-
Dearfach lag
0.0720
Dearfach lag
0.0955
Diúltach lag
-0.0385
Dearfach lag
0.0273
Dearfach lag
0.0432
Dearfach lag
0.0144
Diúltach lag
-0.1633
Answer 14-
Dearfach lag
0.0801
Dearfach lag
0.0909
Diúltach lag
-0.0030
Diúltach lag
-0.0105
Dearfach lag
0.0053
Dearfach lag
0.0134
Diúltach lag
-0.1219
Answer 15-
Dearfach lag
0.0549
Dearfach lag
0.1273
Diúltach lag
-0.0336
Dearfach lag
0.0118
Diúltach lag
-0.0147
Dearfach lag
0.0236
Diúltach lag
-0.1159
Answer 16-
Dearfach lag
0.0725
Dearfach lag
0.0245
Diúltach lag
-0.0365
Diúltach lag
-0.0400
Dearfach lag
0.0729
Dearfach lag
0.0164
Diúltach lag
-0.0771


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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