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
0.0434
Nke nziza
0.0226
Nke mbi
-0.0235
Nke nziza
0.0966
Nke nziza
0.0394
Nke mbi
-0.0103
Nke mbi
-0.1497
Answer 2-
Nke nziza
0.0141
Nke nziza
0.0075
Nke mbi
-0.0306
Nke nziza
0.0582
Nke nziza
0.0442
Nke nziza
0.0072
Nke mbi
-0.0953
Answer 3-
Nke mbi
-0.0071
Nke nziza
0.0056
Nke mbi
-0.0433
Nke mbi
-0.0477
Nke nziza
0.0441
Nke nziza
0.0776
Nke mbi
-0.0231
Answer 4-
Nke nziza
0.0369
Nke nziza
0.0322
Nke mbi
-0.0267
Nke nziza
0.0222
Nke nziza
0.0335
Nke nziza
0.0271
Nke mbi
-0.1019
Answer 5-
Nke nziza
0.0190
Nke nziza
0.1299
Nke nziza
0.0074
Nke nziza
0.0768
Nke mbi
-0.0016
Nke mbi
-0.0082
Nke mbi
-0.1793
Answer 6-
Nke nziza
0.0042
Nke nziza
0.0224
Nke mbi
-0.0641
Nke mbi
-0.0159
Nke nziza
0.0207
Nke nziza
0.0860
Nke mbi
-0.0400
Answer 7-
Nke nziza
0.0119
Nke nziza
0.0474
Nke mbi
-0.0711
Nke mbi
-0.0410
Nke nziza
0.0464
Nke nziza
0.0744
Nke mbi
-0.0482
Answer 8-
Nke nziza
0.0609
Nke nziza
0.0899
Nke mbi
-0.0189
Nke nziza
0.0066
Nke nziza
0.0319
Nke nziza
0.0137
Nke mbi
-0.1384
Answer 9-
Nke nziza
0.0694
Nke nziza
0.1616
Nke nziza
0.0057
Nke nziza
0.0530
Nke mbi
-0.0136
Nke mbi
-0.0433
Nke mbi
-0.1709
Answer 10-
Nke nziza
0.0686
Nke nziza
0.0596
Nke mbi
-0.0153
Nke nziza
0.0167
Nke nziza
0.0487
Nke mbi
-0.0042
Nke mbi
-0.1328
Answer 11-
Nke nziza
0.0543
Nke nziza
0.0622
Nke mbi
-0.0010
Nke nziza
0.0104
Nke nziza
0.0226
Nke nziza
0.0169
Nke mbi
-0.1265
Answer 12-
Nke nziza
0.0455
Nke nziza
0.1030
Nke mbi
-0.0388
Nke nziza
0.0300
Nke nziza
0.0267
Nke nziza
0.0282
Nke mbi
-0.1497
Answer 13-
Nke nziza
0.0762
Nke nziza
0.0976
Nke mbi
-0.0349
Nke nziza
0.0169
Nke nziza
0.0315
Nke nziza
0.0194
Nke mbi
-0.1550
Answer 14-
Nke nziza
0.0841
Nke nziza
0.0929
Nke mbi
-0.0046
Nke mbi
-0.0250
Nke nziza
0.0072
Nke nziza
0.0107
Nke mbi
-0.1115
Answer 15-
Nke nziza
0.0570
Nke nziza
0.1229
Nke mbi
-0.0305
Nke nziza
0.0076
Nke mbi
-0.0145
Nke nziza
0.0248
Nke mbi
-0.1169
Answer 16-
Nke nziza
0.0666
Nke nziza
0.0380
Nke mbi
-0.0329
Nke mbi
-0.0542
Nke nziza
0.0658
Nke nziza
0.0200
Nke mbi
-0.0701


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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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