igitabo bishingiye ikigeragezo «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
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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.


Ubwoba

IbishushanyoIsano
?
Iyi mikorere ihita ibara umurongo kandi udafite umurongo. Mbere yo gukora isesengura rifitanye isano, kora scatterplot kugirango umenye imiterere yimibanire. Coefficient zifitanye isano gusa niba ubwoko bwimibanire ifatwa bwemewe cyangwa bwasesenguwe.
VUCA
?
Dore interineti nshya yo kubona ihumure kumeza nurwego rwibibazo bya spiral aho ingufu zirimo ihindagurika kandi ridasobanutse, nubuzima bwiza (V.U.C.A.)
Country
ururimi
-
Mail
Kurambura
Ubwoko bw'isano
Umurongo (Pearson)
Umurongo (Pearson)
Ntabwo ari umurongo (Icumu)
Bitoroshe agaciro isano coefficient
Isaranganya risanzwe, na William Swal Sset (Umunyeshuri)
Isaranganya risanzwe, na William Swal Sset (Umunyeshuri)
Kugabura bisanzwe, by umucumu
IkwirakwizwaNANCECNANCECNANCECBisanzweBisanzweBisanzweBisanzweBisanzwe
Ibibazo byose
Ibibazo byose
Ubwoba bwanjye bwinshi ni
Ubwoba bwanjye bwinshi ni
Answer 1-
Nke nziza
0.0482
Nke nziza
0.0237
Nke mbi
-0.0209
Nke nziza
0.0983
Nke nziza
0.0381
Nke mbi
-0.0155
Nke mbi
-0.1518
Answer 2-
Nke nziza
0.0249
Nke mbi
-0.0010
Nke mbi
-0.0398
Nke nziza
0.0594
Nke nziza
0.0492
Nke nziza
0.0112
Nke mbi
-0.0975
Answer 3-
Nke mbi
-0.0008
Nke nziza
0.0017
Nke mbi
-0.0455
Nke mbi
-0.0424
Nke nziza
0.0434
Nke nziza
0.0726
Nke mbi
-0.0227
Answer 4-
Nke nziza
0.0469
Nke nziza
0.0334
Nke mbi
-0.0231
Nke nziza
0.0173
Nke nziza
0.0368
Nke nziza
0.0184
Nke mbi
-0.1028
Answer 5-
Nke nziza
0.0233
Nke nziza
0.1301
Nke nziza
0.0069
Nke nziza
0.0823
Nke nziza
0.0002
Nke mbi
-0.0174
Nke mbi
-0.1800
Answer 6-
Nke nziza
0.0071
Nke nziza
0.0162
Nke mbi
-0.0623
Nke mbi
-0.0127
Nke nziza
0.0172
Nke nziza
0.0829
Nke mbi
-0.0363
Answer 7-
Nke nziza
0.0093
Nke nziza
0.0411
Nke mbi
-0.0653
Nke mbi
-0.0342
Nke nziza
0.0485
Nke nziza
0.0685
Nke mbi
-0.0502
Answer 8-
Nke nziza
0.0638
Nke nziza
0.0850
Nke mbi
-0.0270
Nke nziza
0.0100
Nke nziza
0.0377
Nke nziza
0.0128
Nke mbi
-0.1365
Answer 9-
Nke nziza
0.0789
Nke nziza
0.1610
Nke nziza
0.0010
Nke nziza
0.0606
Nke mbi
-0.0071
Nke mbi
-0.0517
Nke mbi
-0.1782
Answer 10-
Nke nziza
0.0795
Nke nziza
0.0618
Nke mbi
-0.0135
Nke nziza
0.0229
Nke nziza
0.0373
Nke mbi
-0.0092
Nke mbi
-0.1334
Answer 11-
Nke nziza
0.0679
Nke nziza
0.0566
Nke mbi
-0.0084
Nke nziza
0.0088
Nke nziza
0.0252
Nke nziza
0.0172
Nke mbi
-0.1250
Answer 12-
Nke nziza
0.0410
Nke nziza
0.0985
Nke mbi
-0.0345
Nke nziza
0.0318
Nke nziza
0.0316
Nke nziza
0.0226
Nke mbi
-0.1481
Answer 13-
Nke nziza
0.0743
Nke nziza
0.0977
Nke mbi
-0.0368
Nke nziza
0.0252
Nke nziza
0.0366
Nke nziza
0.0104
Nke mbi
-0.1569
Answer 14-
Nke nziza
0.0889
Nke nziza
0.0938
Nke mbi
-0.0061
Nke mbi
-0.0147
Nke nziza
0.0039
Nke nziza
0.0070
Nke mbi
-0.1169
Answer 15-
Nke nziza
0.0577
Nke nziza
0.1265
Nke mbi
-0.0317
Nke nziza
0.0112
Nke mbi
-0.0186
Nke nziza
0.0238
Nke mbi
-0.1163
Answer 16-
Nke nziza
0.0720
Nke nziza
0.0299
Nke mbi
-0.0356
Nke mbi
-0.0446
Nke nziza
0.0678
Nke nziza
0.0122
Nke mbi
-0.0694


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2023.11.22
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valeri Kosenko
Nyir'ibicuruzwa SaaS SDTEST®

Valerii yujuje ibisabwa nk'umuntu wigisha ibijyanye n'imibereho-psychologue mu 1993 kandi kuva icyo gihe yakoresheje ubumenyi bwe mu micungire y'umushinga.
Valerii yabonye impamyabumenyi y'ikirenga hamwe n'impamyabumenyi n'umuyobozi wa porogaramu mu mwaka wa 2013. Muri gahunda ya Master, yamenyereye umushinga Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) na Spiral Dynamics.
Valerii ni umwanditsi wo gucukumbura ukutamenya neza V.U.C.A. igitekerezo ukoresheje Spiral Dynamics hamwe n imibare yimibare muri psychologiya, hamwe n’ubushakashatsi 38 mpuzamahanga.
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