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
0.0551
Dearfach lag
0.0281
Diúltach lag
-0.0170
Dearfach lag
0.0943
Dearfach lag
0.0352
Diúltach lag
-0.0160
Diúltach lag
-0.1555
Answer 2-
Dearfach lag
0.0193
Diúltach lag
-0.0049
Diúltach lag
-0.0393
Dearfach lag
0.0660
Dearfach lag
0.0489
Dearfach lag
0.0116
Diúltach lag
-0.0980
Answer 3-
Diúltach lag
-0.0011
Diúltach lag
-0.0086
Diúltach lag
-0.0449
Diúltach lag
-0.0440
Dearfach lag
0.0474
Dearfach lag
0.0740
Diúltach lag
-0.0192
Answer 4-
Dearfach lag
0.0425
Dearfach lag
0.0270
Diúltach lag
-0.0228
Dearfach lag
0.0186
Dearfach lag
0.0348
Dearfach lag
0.0236
Diúltach lag
-0.0992
Answer 5-
Dearfach lag
0.0269
Dearfach lag
0.1300
Dearfach lag
0.0100
Dearfach lag
0.0768
Diúltach lag
-0.0001
Diúltach lag
-0.0179
Diúltach lag
-0.1787
Answer 6-
Diúltach lag
-0.0026
Dearfach lag
0.0052
Diúltach lag
-0.0623
Diúltach lag
-0.0085
Dearfach lag
0.0244
Dearfach lag
0.0859
Diúltach lag
-0.0349
Answer 7-
Dearfach lag
0.0104
Dearfach lag
0.0342
Diúltach lag
-0.0663
Diúltach lag
-0.0308
Dearfach lag
0.0521
Dearfach lag
0.0690
Diúltach lag
-0.0518
Answer 8-
Dearfach lag
0.0634
Dearfach lag
0.0734
Diúltach lag
-0.0277
Dearfach lag
0.0139
Dearfach lag
0.0374
Dearfach lag
0.0176
Diúltach lag
-0.1339
Answer 9-
Dearfach lag
0.0734
Dearfach lag
0.1620
Dearfach lag
0.0067
Dearfach lag
0.0641
Diúltach lag
-0.0106
Diúltach lag
-0.0486
Diúltach lag
-0.1812
Answer 10-
Dearfach lag
0.0758
Dearfach lag
0.0683
Diúltach lag
-0.0141
Dearfach lag
0.0287
Dearfach lag
0.0344
Diúltach lag
-0.0118
Diúltach lag
-0.1345
Answer 11-
Dearfach lag
0.0633
Dearfach lag
0.0538
Diúltach lag
-0.0093
Dearfach lag
0.0109
Dearfach lag
0.0242
Dearfach lag
0.0250
Diúltach lag
-0.1263
Answer 12-
Dearfach lag
0.0444
Dearfach lag
0.0945
Diúltach lag
-0.0343
Dearfach lag
0.0338
Dearfach lag
0.0338
Dearfach lag
0.0259
Diúltach lag
-0.1538
Answer 13-
Dearfach lag
0.0702
Dearfach lag
0.0964
Diúltach lag
-0.0395
Dearfach lag
0.0291
Dearfach lag
0.0415
Dearfach lag
0.0150
Diúltach lag
-0.1626
Answer 14-
Dearfach lag
0.0785
Dearfach lag
0.0902
Diúltach lag
-0.0021
Diúltach lag
-0.0093
Dearfach lag
0.0047
Dearfach lag
0.0142
Diúltach lag
-0.1224
Answer 15-
Dearfach lag
0.0540
Dearfach lag
0.1283
Diúltach lag
-0.0347
Dearfach lag
0.0149
Diúltach lag
-0.0173
Dearfach lag
0.0240
Diúltach lag
-0.1161
Answer 16-
Dearfach lag
0.0700
Dearfach lag
0.0264
Diúltach lag
-0.0372
Diúltach lag
-0.0379
Dearfach lag
0.0700
Dearfach lag
0.0207
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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