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
0.0548
Dearfach lag
0.0285
Diúltach lag
-0.0173
Dearfach lag
0.0940
Dearfach lag
0.0358
Diúltach lag
-0.0156
Diúltach lag
-0.1560
Answer 2-
Dearfach lag
0.0192
Diúltach lag
-0.0048
Diúltach lag
-0.0394
Dearfach lag
0.0659
Dearfach lag
0.0491
Dearfach lag
0.0117
Diúltach lag
-0.0981
Answer 3-
Diúltach lag
-0.0003
Diúltach lag
-0.0088
Diúltach lag
-0.0450
Diúltach lag
-0.0440
Dearfach lag
0.0471
Dearfach lag
0.0739
Diúltach lag
-0.0191
Answer 4-
Dearfach lag
0.0429
Dearfach lag
0.0271
Diúltach lag
-0.0230
Dearfach lag
0.0182
Dearfach lag
0.0351
Dearfach lag
0.0239
Diúltach lag
-0.0995
Answer 5-
Dearfach lag
0.0273
Dearfach lag
0.1298
Dearfach lag
0.0101
Dearfach lag
0.0772
Diúltach lag
-0.0006
Diúltach lag
-0.0183
Diúltach lag
-0.1784
Answer 6-
Diúltach lag
-0.0026
Dearfach lag
0.0050
Diúltach lag
-0.0621
Diúltach lag
-0.0081
Dearfach lag
0.0240
Dearfach lag
0.0856
Diúltach lag
-0.0346
Answer 7-
Dearfach lag
0.0105
Dearfach lag
0.0339
Diúltach lag
-0.0661
Diúltach lag
-0.0304
Dearfach lag
0.0517
Dearfach lag
0.0686
Diúltach lag
-0.0515
Answer 8-
Dearfach lag
0.0635
Dearfach lag
0.0732
Diúltach lag
-0.0275
Dearfach lag
0.0143
Dearfach lag
0.0370
Dearfach lag
0.0172
Diúltach lag
-0.1336
Answer 9-
Dearfach lag
0.0734
Dearfach lag
0.1618
Dearfach lag
0.0069
Dearfach lag
0.0644
Diúltach lag
-0.0109
Diúltach lag
-0.0489
Diúltach lag
-0.1811
Answer 10-
Dearfach lag
0.0764
Dearfach lag
0.0679
Diúltach lag
-0.0139
Dearfach lag
0.0290
Dearfach lag
0.0338
Diúltach lag
-0.0123
Diúltach lag
-0.1342
Answer 11-
Dearfach lag
0.0634
Dearfach lag
0.0535
Diúltach lag
-0.0091
Dearfach lag
0.0113
Dearfach lag
0.0238
Dearfach lag
0.0247
Diúltach lag
-0.1260
Answer 12-
Dearfach lag
0.0449
Dearfach lag
0.0941
Diúltach lag
-0.0341
Dearfach lag
0.0342
Dearfach lag
0.0332
Dearfach lag
0.0255
Diúltach lag
-0.1534
Answer 13-
Dearfach lag
0.0691
Dearfach lag
0.0966
Diúltach lag
-0.0393
Dearfach lag
0.0295
Dearfach lag
0.0417
Dearfach lag
0.0148
Diúltach lag
-0.1626
Answer 14-
Dearfach lag
0.0775
Dearfach lag
0.0903
Diúltach lag
-0.0019
Diúltach lag
-0.0089
Dearfach lag
0.0048
Dearfach lag
0.0140
Diúltach lag
-0.1223
Answer 15-
Dearfach lag
0.0544
Dearfach lag
0.1280
Diúltach lag
-0.0345
Dearfach lag
0.0152
Diúltach lag
-0.0178
Dearfach lag
0.0236
Diúltach lag
-0.1158
Answer 16-
Dearfach lag
0.0703
Dearfach lag
0.0262
Diúltach lag
-0.0371
Diúltach lag
-0.0377
Dearfach lag
0.0697
Dearfach lag
0.0204
Diúltach lag
-0.0788


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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