book-based test «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.


Fears

ChartsCorrelation
?
Here is the relationship between the responses of the poll and the Spiral Dynamics test colors
VUCA
?
Here is a new interface view of Correlation in a table by levels of Spiral Dynamics where volatility, uncertainty, complexity, and ambiguity (V.U.C.A.) are shown through positive and negative correlation dependences between the responses of the poll and the Spiral Dynamics colors
Country
Language
-
Mail
Recalculate
Critical value of the correlation coefficient
Normal distribution, by William Sealy Gosset (Student) r = 0.0315
Normal distribution, by William Sealy Gosset (Student) r = 0.0315
Non Normal distribution, by Spearman r = 0.0013
DistributionNon
Normal
Non
Normal
Non
Normal
NormalNormalNormalNormalNormal
All questions
All questions
My greatest fears are
My greatest fears are
Answer 1-
Weak positive
0.0519
Weak positive
0.0249
Weak negative
-0.0201
Weak positive
0.0938
Weak positive
0.0393
Weak negative
-0.0148
Weak negative
-0.1536
Answer 2-
Weak positive
0.0160
Weak negative
-0.0089
Weak negative
-0.0381
Weak positive
0.0645
Weak positive
0.0505
Weak positive
0.0138
Weak negative
-0.0948
Answer 3-
Weak negative
-0.0036
Weak negative
-0.0099
Weak negative
-0.0465
Weak negative
-0.0421
Weak positive
0.0504
Weak positive
0.0770
Weak negative
-0.0232
Answer 4-
Weak positive
0.0441
Weak positive
0.0306
Weak negative
-0.0266
Weak positive
0.0174
Weak positive
0.0382
Weak positive
0.0265
Weak negative
-0.1041
Answer 5-
Weak positive
0.0220
Weak positive
0.1235
Weak positive
0.0108
Weak positive
0.0747
Weak positive
0.0006
Weak negative
-0.0155
Weak negative
-0.1747
Answer 6-
Weak negative
-0.0019
Weak positive
0.0038
Weak negative
-0.0625
Weak negative
-0.0102
Weak positive
0.0264
Weak positive
0.0858
Weak negative
-0.0359
Answer 7-
Weak positive
0.0103
Weak positive
0.0310
Weak negative
-0.0672
Weak negative
-0.0302
Weak positive
0.0540
Weak positive
0.0709
Weak negative
-0.0528
Answer 8-
Weak positive
0.0651
Weak positive
0.0685
Weak negative
-0.0275
Weak positive
0.0124
Weak positive
0.0401
Weak positive
0.0177
Weak negative
-0.1337
Answer 9-
Weak positive
0.0752
Weak positive
0.1592
Weak positive
0.0059
Weak positive
0.0602
Weak negative
-0.0071
Weak negative
-0.0483
Weak negative
-0.1823
Answer 10-
Weak positive
0.0747
Weak positive
0.0607
Weak negative
-0.0134
Weak positive
0.0271
Weak positive
0.0335
Weak negative
-0.0111
Weak negative
-0.1346
Answer 11-
Weak positive
0.0632
Weak positive
0.0502
Weak negative
-0.0089
Weak positive
0.0089
Weak positive
0.0283
Weak positive
0.0252
Weak negative
-0.1282
Answer 12-
Weak positive
0.0426
Weak positive
0.0888
Weak negative
-0.0328
Weak positive
0.0321
Weak positive
0.0353
Weak positive
0.0263
Weak negative
-0.1530
Answer 13-
Weak positive
0.0700
Weak positive
0.0916
Weak negative
-0.0386
Weak positive
0.0291
Weak positive
0.0440
Weak positive
0.0155
Weak negative
-0.1638
Answer 14-
Weak positive
0.0811
Weak positive
0.0861
Weak negative
-0.0041
Weak negative
-0.0124
Weak positive
0.0081
Weak positive
0.0148
Weak negative
-0.1207
Answer 15-
Weak positive
0.0548
Weak positive
0.1223
Weak negative
-0.0347
Weak positive
0.0118
Weak negative
-0.0133
Weak positive
0.0266
Weak negative
-0.1157
Answer 16-
Weak positive
0.0702
Weak positive
0.0202
Weak negative
-0.0390
Weak negative
-0.0397
Weak positive
0.0747
Weak positive
0.0185
Weak negative
-0.0767


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2023.11.22
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
Product Owner SaaS SDTEST®

Valerii was qualified as a social pedagogue-psychologist in 1993 and has since applied his knowledge in project management.
Valerii obtained a Master's degree and the project and program manager qualification in 2013. During his Master's program, he became familiar with Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) and Spiral Dynamics.
Valerii is the author of exploring the uncertainty of the V.U.C.A. concept using Spiral Dynamics and mathematical statistics in psychology, and 38 international polls.
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Hi there! Let me ask you, do you already familiar with Spiral Dynamics?