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

ChartsComhghaoil
?
Seo an gaol idir freagraí na vótaíochta agus na dathanna tástála dinimic bíseach
VUCA
?
Seo léargas nua comhéadain ar chomhghaol i dtábla de réir leibhéil dinimic bíseach ina dtaispeántar luaineacht, neamhchinnteacht, castacht, agus débhríocht (V.U.C.A.) trí spleáchais chomhghaoil ​​dhearfacha agus dhiúltacha idir freagraí na vótaíochta agus na dathanna dinimic bíseach
Tír
Teanga
-
Mail
Athchúrsáil
Luach criticiúil an chomhéifeacht comhghaoil
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0315
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0315
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
0.0519
Dearfach lag
0.0249
Diúltach lag
-0.0201
Dearfach lag
0.0938
Dearfach lag
0.0393
Diúltach lag
-0.0148
Diúltach lag
-0.1536
Answer 2-
Dearfach lag
0.0160
Diúltach lag
-0.0089
Diúltach lag
-0.0381
Dearfach lag
0.0645
Dearfach lag
0.0505
Dearfach lag
0.0138
Diúltach lag
-0.0948
Answer 3-
Diúltach lag
-0.0036
Diúltach lag
-0.0099
Diúltach lag
-0.0465
Diúltach lag
-0.0421
Dearfach lag
0.0504
Dearfach lag
0.0770
Diúltach lag
-0.0232
Answer 4-
Dearfach lag
0.0441
Dearfach lag
0.0306
Diúltach lag
-0.0266
Dearfach lag
0.0174
Dearfach lag
0.0382
Dearfach lag
0.0265
Diúltach lag
-0.1041
Answer 5-
Dearfach lag
0.0220
Dearfach lag
0.1235
Dearfach lag
0.0108
Dearfach lag
0.0747
Dearfach lag
0.0006
Diúltach lag
-0.0155
Diúltach lag
-0.1747
Answer 6-
Diúltach lag
-0.0019
Dearfach lag
0.0038
Diúltach lag
-0.0625
Diúltach lag
-0.0102
Dearfach lag
0.0264
Dearfach lag
0.0858
Diúltach lag
-0.0359
Answer 7-
Dearfach lag
0.0103
Dearfach lag
0.0310
Diúltach lag
-0.0672
Diúltach lag
-0.0302
Dearfach lag
0.0540
Dearfach lag
0.0709
Diúltach lag
-0.0528
Answer 8-
Dearfach lag
0.0651
Dearfach lag
0.0685
Diúltach lag
-0.0275
Dearfach lag
0.0124
Dearfach lag
0.0401
Dearfach lag
0.0177
Diúltach lag
-0.1337
Answer 9-
Dearfach lag
0.0752
Dearfach lag
0.1592
Dearfach lag
0.0059
Dearfach lag
0.0602
Diúltach lag
-0.0071
Diúltach lag
-0.0483
Diúltach lag
-0.1823
Answer 10-
Dearfach lag
0.0747
Dearfach lag
0.0607
Diúltach lag
-0.0134
Dearfach lag
0.0271
Dearfach lag
0.0335
Diúltach lag
-0.0111
Diúltach lag
-0.1346
Answer 11-
Dearfach lag
0.0632
Dearfach lag
0.0502
Diúltach lag
-0.0089
Dearfach lag
0.0089
Dearfach lag
0.0283
Dearfach lag
0.0252
Diúltach lag
-0.1282
Answer 12-
Dearfach lag
0.0426
Dearfach lag
0.0888
Diúltach lag
-0.0328
Dearfach lag
0.0321
Dearfach lag
0.0353
Dearfach lag
0.0263
Diúltach lag
-0.1530
Answer 13-
Dearfach lag
0.0700
Dearfach lag
0.0916
Diúltach lag
-0.0386
Dearfach lag
0.0291
Dearfach lag
0.0440
Dearfach lag
0.0155
Diúltach lag
-0.1638
Answer 14-
Dearfach lag
0.0811
Dearfach lag
0.0861
Diúltach lag
-0.0041
Diúltach lag
-0.0124
Dearfach lag
0.0081
Dearfach lag
0.0148
Diúltach lag
-0.1207
Answer 15-
Dearfach lag
0.0548
Dearfach lag
0.1223
Diúltach lag
-0.0347
Dearfach lag
0.0118
Diúltach lag
-0.0133
Dearfach lag
0.0266
Diúltach lag
-0.1157
Answer 16-
Dearfach lag
0.0702
Dearfach lag
0.0202
Diúltach lag
-0.0390
Diúltach lag
-0.0397
Dearfach lag
0.0747
Dearfach lag
0.0185
Diúltach lag
-0.0767


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

2023.11.22
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
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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