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 = 0.0295

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 0.0477	Weak_positive 0.0221	Weak_negative -0.0217	Weak_positive 0.1002	Weak_positive 0.0334	Weak_negative -0.0102	Weak_negative -0.1510
Answer 2	-	Weak_positive 0.0186	Weak_positive 0.0032	Weak_negative -0.0357	Weak_positive 0.0613	Weak_positive 0.0475	Weak_positive 0.0096	Weak_negative -0.0989
Answer 3	-	Weak_negative -0.0032	Weak_positive 0.0019	Weak_negative -0.0414	Weak_negative -0.0469	Weak_positive 0.0435	Weak_positive 0.0774	Weak_negative -0.0248
Answer 4	-	Weak_positive 0.0407	Weak_positive 0.0314	Weak_negative -0.0249	Weak_positive 0.0197	Weak_positive 0.0331	Weak_positive 0.0230	Weak_negative -0.0986
Answer 5	-	Weak_positive 0.0215	Weak_positive 0.1264	Weak_positive 0.0054	Weak_positive 0.0826	Weak_positive 0.0010	Weak_negative -0.0110	Weak_negative -0.1816
Answer 6	-	Weak_positive 0.0063	Weak_positive 0.0171	Weak_negative -0.0623	Weak_negative -0.0120	Weak_positive 0.0187	Weak_positive 0.0857	Weak_negative -0.0411
Answer 7	-	Weak_positive 0.0137	Weak_positive 0.0450	Weak_negative -0.0690	Weak_negative -0.0368	Weak_positive 0.0455	Weak_positive 0.0737	Weak_negative -0.0523
Answer 8	-	Weak_positive 0.0588	Weak_positive 0.0830	Weak_negative -0.0236	Weak_positive 0.0104	Weak_positive 0.0383	Weak_positive 0.0155	Weak_negative -0.1382
Answer 9	-	Weak_positive 0.0696	Weak_positive 0.1577	Weak_positive 0.0025	Weak_positive 0.0600	Weak_negative -0.0090	Weak_negative -0.0453	Weak_negative -0.1739
Answer 10	-	Weak_positive 0.0717	Weak_positive 0.0593	Weak_negative -0.0096	Weak_positive 0.0209	Weak_positive 0.0410	Weak_negative -0.0072	Weak_negative -0.1328
Answer 11	-	Weak_positive 0.0596	Weak_positive 0.0545	Weak_negative -0.0011	Weak_positive 0.0094	Weak_positive 0.0233	Weak_positive 0.0201	Weak_negative -0.1258
Answer 12	-	Weak_positive 0.0398	Weak_positive 0.0998	Weak_negative -0.0373	Weak_positive 0.0340	Weak_positive 0.0290	Weak_positive 0.0297	Weak_negative -0.1515
Answer 13	-	Weak_positive 0.0728	Weak_positive 0.0973	Weak_negative -0.0346	Weak_positive 0.0238	Weak_positive 0.0334	Weak_positive 0.0173	Weak_negative -0.1589
Answer 14	-	Weak_positive 0.0830	Weak_positive 0.0892	Weak_negative -0.0029	Weak_negative -0.0185	Weak_positive 0.0034	Weak_positive 0.0128	Weak_negative -0.1132
Answer 15	-	Weak_positive 0.0554	Weak_positive 0.1244	Weak_negative -0.0272	Weak_positive 0.0092	Weak_negative -0.0181	Weak_positive 0.0266	Weak_negative -0.1184
Answer 16	-	Weak_positive 0.0650	Weak_positive 0.0299	Weak_negative -0.0306	Weak_negative -0.0490	Weak_positive 0.0639	Weak_positive 0.0190	Weak_negative -0.0668

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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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