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
0.0477
Nke nziza
0.0219
Nke mbi
-0.0213
Nke nziza
0.1002
Nke nziza
0.0333
Nke mbi
-0.0103
Nke mbi
-0.1511
Answer 2-
Nke nziza
0.0186
Nke nziza
0.0032
Nke mbi
-0.0355
Nke nziza
0.0613
Nke nziza
0.0474
Nke nziza
0.0096
Nke mbi
-0.0989
Answer 3-
Nke mbi
-0.0033
Nke nziza
0.0019
Nke mbi
-0.0416
Nke mbi
-0.0469
Nke nziza
0.0436
Nke nziza
0.0775
Nke mbi
-0.0247
Answer 4-
Nke nziza
0.0408
Nke nziza
0.0311
Nke mbi
-0.0243
Nke nziza
0.0197
Nke nziza
0.0329
Nke nziza
0.0229
Nke mbi
-0.0988
Answer 5-
Nke nziza
0.0216
Nke nziza
0.1262
Nke nziza
0.0060
Nke nziza
0.0826
Nke nziza
0.0009
Nke mbi
-0.0111
Nke mbi
-0.1817
Answer 6-
Nke nziza
0.0064
Nke nziza
0.0170
Nke mbi
-0.0620
Nke mbi
-0.0120
Nke nziza
0.0186
Nke nziza
0.0856
Nke mbi
-0.0412
Answer 7-
Nke nziza
0.0137
Nke nziza
0.0449
Nke mbi
-0.0687
Nke mbi
-0.0368
Nke nziza
0.0455
Nke nziza
0.0737
Nke mbi
-0.0524
Answer 8-
Nke nziza
0.0589
Nke nziza
0.0826
Nke mbi
-0.0227
Nke nziza
0.0104
Nke nziza
0.0380
Nke nziza
0.0153
Nke mbi
-0.1383
Answer 9-
Nke nziza
0.0697
Nke nziza
0.1572
Nke nziza
0.0034
Nke nziza
0.0600
Nke mbi
-0.0092
Nke mbi
-0.0455
Nke mbi
-0.1740
Answer 10-
Nke nziza
0.0716
Nke nziza
0.0595
Nke mbi
-0.0100
Nke nziza
0.0209
Nke nziza
0.0411
Nke mbi
-0.0071
Nke mbi
-0.1327
Answer 11-
Nke nziza
0.0596
Nke nziza
0.0545
Nke mbi
-0.0010
Nke nziza
0.0094
Nke nziza
0.0233
Nke nziza
0.0201
Nke mbi
-0.1258
Answer 12-
Nke nziza
0.0399
Nke nziza
0.0996
Nke mbi
-0.0370
Nke nziza
0.0340
Nke nziza
0.0289
Nke nziza
0.0296
Nke mbi
-0.1516
Answer 13-
Nke nziza
0.0727
Nke nziza
0.0974
Nke mbi
-0.0350
Nke nziza
0.0238
Nke nziza
0.0335
Nke nziza
0.0173
Nke mbi
-0.1588
Answer 14-
Nke nziza
0.0831
Nke nziza
0.0888
Nke mbi
-0.0021
Nke mbi
-0.0185
Nke nziza
0.0031
Nke nziza
0.0127
Nke mbi
-0.1133
Answer 15-
Nke nziza
0.0555
Nke nziza
0.1241
Nke mbi
-0.0265
Nke nziza
0.0092
Nke mbi
-0.0183
Nke nziza
0.0264
Nke mbi
-0.1185
Answer 16-
Nke nziza
0.0650
Nke nziza
0.0300
Nke mbi
-0.0308
Nke mbi
-0.0490
Nke nziza
0.0640
Nke nziza
0.0190
Nke mbi
-0.0668


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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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