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
0.0481
Nke nziza
0.0261
Nke mbi
-0.0250
Nke nziza
0.0988
Nke nziza
0.0328
Nke mbi
-0.0102
Nke mbi
-0.1499
Answer 2-
Nke nziza
0.0220
Nke nziza
0.0010
Nke mbi
-0.0413
Nke nziza
0.0624
Nke nziza
0.0457
Nke nziza
0.0137
Nke mbi
-0.0977
Answer 3-
Nke mbi
-0.0021
Nke nziza
0.0044
Nke mbi
-0.0473
Nke mbi
-0.0438
Nke nziza
0.0426
Nke nziza
0.0763
Nke mbi
-0.0237
Answer 4-
Nke nziza
0.0442
Nke nziza
0.0331
Nke mbi
-0.0295
Nke nziza
0.0181
Nke nziza
0.0338
Nke nziza
0.0243
Nke mbi
-0.0989
Answer 5-
Nke nziza
0.0217
Nke nziza
0.1287
Nke nziza
0.0034
Nke nziza
0.0829
Nke nziza
0.0004
Nke mbi
-0.0099
Nke mbi
-0.1825
Answer 6-
Nke nziza
0.0042
Nke nziza
0.0168
Nke mbi
-0.0632
Nke mbi
-0.0123
Nke nziza
0.0143
Nke nziza
0.0886
Nke mbi
-0.0370
Answer 7-
Nke nziza
0.0107
Nke nziza
0.0443
Nke mbi
-0.0677
Nke mbi
-0.0353
Nke nziza
0.0437
Nke nziza
0.0756
Nke mbi
-0.0523
Answer 8-
Nke nziza
0.0616
Nke nziza
0.0842
Nke mbi
-0.0292
Nke nziza
0.0102
Nke nziza
0.0351
Nke nziza
0.0198
Nke mbi
-0.1369
Answer 9-
Nke nziza
0.0725
Nke nziza
0.1602
Nke mbi
-0.0007
Nke nziza
0.0617
Nke mbi
-0.0088
Nke mbi
-0.0462
Nke mbi
-0.1766
Answer 10-
Nke nziza
0.0745
Nke nziza
0.0623
Nke mbi
-0.0159
Nke nziza
0.0230
Nke nziza
0.0383
Nke mbi
-0.0030
Nke mbi
-0.1350
Answer 11-
Nke nziza
0.0643
Nke nziza
0.0565
Nke mbi
-0.0079
Nke nziza
0.0089
Nke nziza
0.0234
Nke nziza
0.0226
Nke mbi
-0.1262
Answer 12-
Nke nziza
0.0402
Nke nziza
0.1053
Nke mbi
-0.0389
Nke nziza
0.0354
Nke nziza
0.0269
Nke nziza
0.0277
Nke mbi
-0.1527
Answer 13-
Nke nziza
0.0738
Nke nziza
0.1015
Nke mbi
-0.0383
Nke nziza
0.0265
Nke nziza
0.0323
Nke nziza
0.0162
Nke mbi
-0.1606
Answer 14-
Nke nziza
0.0819
Nke nziza
0.0913
Nke mbi
-0.0078
Nke mbi
-0.0152
Nke nziza
0.0036
Nke nziza
0.0130
Nke mbi
-0.1140
Answer 15-
Nke nziza
0.0545
Nke nziza
0.1298
Nke mbi
-0.0305
Nke nziza
0.0113
Nke mbi
-0.0215
Nke nziza
0.0263
Nke mbi
-0.1179
Answer 16-
Nke nziza
0.0677
Nke nziza
0.0324
Nke mbi
-0.0341
Nke mbi
-0.0446
Nke nziza
0.0623
Nke nziza
0.0200
Nke mbi
-0.0715


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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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