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
0.0512
Nke nziza
0.0232
Nke mbi
-0.0222
Nke nziza
0.0981
Nke nziza
0.0387
Nke mbi
-0.0144
Nke mbi
-0.1535
Answer 2-
Nke nziza
0.0216
Nke mbi
-0.0035
Nke mbi
-0.0369
Nke nziza
0.0602
Nke nziza
0.0490
Nke nziza
0.0109
Nke mbi
-0.0964
Answer 3-
Nke mbi
-0.0012
Nke mbi
-0.0017
Nke mbi
-0.0427
Nke mbi
-0.0398
Nke nziza
0.0437
Nke nziza
0.0726
Nke mbi
-0.0254
Answer 4-
Nke nziza
0.0459
Nke nziza
0.0326
Nke mbi
-0.0242
Nke nziza
0.0172
Nke nziza
0.0396
Nke nziza
0.0187
Nke mbi
-0.1033
Answer 5-
Nke nziza
0.0235
Nke nziza
0.1261
Nke nziza
0.0090
Nke nziza
0.0805
Nke nziza
8.35E-5
Nke mbi
-0.0165
Nke mbi
-0.1777
Answer 6-
Nke nziza
0.0060
Nke nziza
0.0148
Nke mbi
-0.0612
Nke mbi
-0.0121
Nke nziza
0.0177
Nke nziza
0.0835
Nke mbi
-0.0371
Answer 7-
Nke nziza
0.0115
Nke nziza
0.0387
Nke mbi
-0.0630
Nke mbi
-0.0336
Nke nziza
0.0469
Nke nziza
0.0682
Nke mbi
-0.0507
Answer 8-
Nke nziza
0.0651
Nke nziza
0.0795
Nke mbi
-0.0261
Nke nziza
0.0087
Nke nziza
0.0396
Nke nziza
0.0153
Nke mbi
-0.1366
Answer 9-
Nke nziza
0.0783
Nke nziza
0.1615
Nke nziza
0.0038
Nke nziza
0.0608
Nke mbi
-0.0063
Nke mbi
-0.0513
Nke mbi
-0.1813
Answer 10-
Nke nziza
0.0806
Nke nziza
0.0625
Nke mbi
-0.0157
Nke nziza
0.0218
Nke nziza
0.0376
Nke mbi
-0.0081
Nke mbi
-0.1325
Answer 11-
Nke nziza
0.0655
Nke nziza
0.0557
Nke mbi
-0.0101
Nke nziza
0.0111
Nke nziza
0.0271
Nke nziza
0.0191
Nke mbi
-0.1267
Answer 12-
Nke nziza
0.0415
Nke nziza
0.0961
Nke mbi
-0.0313
Nke nziza
0.0333
Nke nziza
0.0300
Nke nziza
0.0226
Nke mbi
-0.1490
Answer 13-
Nke nziza
0.0715
Nke nziza
0.0947
Nke mbi
-0.0367
Nke nziza
0.0281
Nke nziza
0.0389
Nke nziza
0.0118
Nke mbi
-0.1588
Answer 14-
Nke nziza
0.0890
Nke nziza
0.0924
Nke mbi
-0.0046
Nke mbi
-0.0159
Nke nziza
0.0063
Nke nziza
0.0074
Nke mbi
-0.1181
Answer 15-
Nke nziza
0.0583
Nke nziza
0.1230
Nke mbi
-0.0319
Nke nziza
0.0110
Nke mbi
-0.0173
Nke nziza
0.0264
Nke mbi
-0.1168
Answer 16-
Nke nziza
0.0727
Nke nziza
0.0267
Nke mbi
-0.0375
Nke mbi
-0.0414
Nke nziza
0.0700
Nke nziza
0.0121
Nke mbi
-0.0708


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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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