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.

恐懼

Charts相关性

VUCA

相關類型	線性（皮爾遜）線性（皮爾遜）非線性（斯皮爾曼）
Critical_value_of_the_correlation_coefficient	正態分佈，威廉·西莉·格塞特（William Sealy Gosset）（學生）正態分佈，威廉·西莉·格塞特（William Sealy Gosset）（學生）非正態分佈，Spearman	僅顯示結果 > r = 0.0306

分配	非正常	非正常	非正常	普通的	普通的	普通的	普通的	普通的
所有問題所有問題我最大的恐懼是
我最大的恐懼是
Answer 1	-	Weak_positive 0.0512	Weak_positive 0.0232	Weak_negative -0.0222	Weak_positive 0.0981	Weak_positive 0.0387	Weak_negative -0.0144	Weak_negative -0.1535
Answer 2	-	Weak_positive 0.0213	Weak_negative -0.0037	Weak_negative -0.0375	Weak_positive 0.0599	Weak_positive 0.0491	Weak_positive 0.0113	Weak_negative -0.0959
Answer 3	-	Weak_negative -0.0009	Weak_negative -0.0013	Weak_negative -0.0419	Weak_negative -0.0394	Weak_positive 0.0436	Weak_positive 0.0720	Weak_negative -0.0262
Answer 4	-	Weak_positive 0.0460	Weak_positive 0.0327	Weak_negative -0.0240	Weak_positive 0.0173	Weak_positive 0.0395	Weak_positive 0.0186	Weak_negative -0.1035
Answer 5	-	Weak_positive 0.0236	Weak_positive 0.1262	Weak_positive 0.0091	Weak_positive 0.0806	Weak_positive 5.92E-5	Weak_negative -0.0167	Weak_negative -0.1779
Answer 6	-	Weak_positive 0.0064	Weak_positive 0.0151	Weak_negative -0.0604	Weak_negative -0.0117	Weak_positive 0.0176	Weak_positive 0.0829	Weak_negative -0.0379
Answer 7	-	Weak_positive 0.0118	Weak_positive 0.0389	Weak_negative -0.0625	Weak_negative -0.0334	Weak_positive 0.0469	Weak_positive 0.0678	Weak_negative -0.0513
Answer 8	-	Weak_positive 0.0656	Weak_positive 0.0799	Weak_negative -0.0252	Weak_positive 0.0091	Weak_positive 0.0395	Weak_positive 0.0146	Weak_negative -0.1376
Answer 9	-	Weak_positive 0.0783	Weak_positive 0.1615	Weak_positive 0.0037	Weak_positive 0.0607	Weak_negative -0.0063	Weak_negative -0.0512	Weak_negative -0.1813
Answer 10	-	Weak_positive 0.0809	Weak_positive 0.0628	Weak_negative -0.0152	Weak_positive 0.0220	Weak_positive 0.0375	Weak_negative -0.0085	Weak_negative -0.1331
Answer 11	-	Weak_positive 0.0658	Weak_positive 0.0560	Weak_negative -0.0095	Weak_positive 0.0113	Weak_positive 0.0270	Weak_positive 0.0186	Weak_negative -0.1274
Answer 12	-	Weak_positive 0.0416	Weak_positive 0.0962	Weak_negative -0.0310	Weak_positive 0.0335	Weak_positive 0.0299	Weak_positive 0.0223	Weak_negative -0.1494
Answer 13	-	Weak_positive 0.0720	Weak_positive 0.0952	Weak_negative -0.0358	Weak_positive 0.0285	Weak_positive 0.0387	Weak_positive 0.0111	Weak_negative -0.1599
Answer 14	-	Weak_positive 0.0890	Weak_positive 0.0924	Weak_negative -0.0045	Weak_negative -0.0159	Weak_positive 0.0062	Weak_positive 0.0074	Weak_negative -0.1182
Answer 15	-	Weak_positive 0.0585	Weak_positive 0.1232	Weak_negative -0.0315	Weak_positive 0.0112	Weak_negative -0.0174	Weak_positive 0.0261	Weak_negative -0.1173
Answer 16	-	Weak_positive 0.0731	Weak_positive 0.0270	Weak_negative -0.0368	Weak_negative -0.0411	Weak_positive 0.0700	Weak_positive 0.0116	Weak_negative -0.0716

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2023.11.22

FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma

Valerii Kosenko

產品負責人 SaaS SDTEST®

Valerii 於 1993 年獲得社會教育心理學家資格，此後將他的知識應用於專案管理。
Valerii 於 2013 年獲得碩士學位以及專案和專案經理資格。
Valerii 是探討 V.U.C.A. 不確定性的作者。使用螺旋動力學和心理學數理統計的概念，以及 38 個國際民意調查。

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