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 = 0.0304

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 0.0239	Weak_negative -0.0212	Weak_positive 0.0982	Weak_positive 0.0382	Weak_negative -0.0153	Weak_negative -0.1516
Answer 2	-	Weak_positive 0.0242	Weak_negative -0.0012	Weak_negative -0.0400	Weak_positive 0.0591	Weak_positive 0.0495	Weak_positive 0.0116	Weak_negative -0.0972
Answer 3	-	Weak_negative -1.34E-7	Weak_positive 0.0010	Weak_negative -0.0442	Weak_negative -0.0427	Weak_positive 0.0431	Weak_positive 0.0729	Weak_negative -0.0236
Answer 4	-	Weak_positive 0.0463	Weak_positive 0.0330	Weak_negative -0.0229	Weak_positive 0.0172	Weak_positive 0.0369	Weak_positive 0.0187	Weak_negative -0.1027
Answer 5	-	Weak_positive 0.0237	Weak_positive 0.1294	Weak_positive 0.0082	Weak_positive 0.0822	Weak_positive 2.96E-5	Weak_negative -0.0172	Weak_negative -0.1809
Answer 6	-	Weak_positive 0.0079	Weak_positive 0.0156	Weak_negative -0.0617	Weak_negative -0.0131	Weak_positive 0.0174	Weak_positive 0.0832	Weak_negative -0.0370
Answer 7	-	Weak_positive 0.0099	Weak_positive 0.0404	Weak_negative -0.0639	Weak_negative -0.0345	Weak_positive 0.0483	Weak_positive 0.0688	Weak_negative -0.0511
Answer 8	-	Weak_positive 0.0643	Weak_positive 0.0843	Weak_negative -0.0266	Weak_positive 0.0098	Weak_positive 0.0382	Weak_positive 0.0130	Weak_negative -0.1371
Answer 9	-	Weak_positive 0.0795	Weak_positive 0.1603	Weak_positive 0.0017	Weak_positive 0.0605	Weak_negative -0.0067	Weak_negative -0.0516	Weak_negative -0.1791
Answer 10	-	Weak_positive 0.0793	Weak_positive 0.0618	Weak_negative -0.0138	Weak_positive 0.0228	Weak_positive 0.0377	Weak_negative -0.0091	Weak_negative -0.1333
Answer 11	-	Weak_positive 0.0680	Weak_positive 0.0562	Weak_negative -0.0083	Weak_positive 0.0087	Weak_positive 0.0256	Weak_positive 0.0174	Weak_negative -0.1252
Answer 12	-	Weak_positive 0.0418	Weak_positive 0.0986	Weak_negative -0.0340	Weak_positive 0.0317	Weak_positive 0.0311	Weak_positive 0.0225	Weak_negative -0.1486
Answer 13	-	Weak_positive 0.0749	Weak_positive 0.0972	Weak_negative -0.0366	Weak_positive 0.0253	Weak_positive 0.0370	Weak_positive 0.0103	Weak_negative -0.1575
Answer 14	-	Weak_positive 0.0891	Weak_positive 0.0934	Weak_negative -0.0060	Weak_negative -0.0146	Weak_positive 0.0043	Weak_positive 0.0070	Weak_negative -0.1173
Answer 15	-	Weak_positive 0.0582	Weak_positive 0.1257	Weak_negative -0.0305	Weak_positive 0.0112	Weak_negative -0.0187	Weak_positive 0.0241	Weak_negative -0.1172
Answer 16	-	Weak_positive 0.0722	Weak_positive 0.0285	Weak_negative -0.0348	Weak_negative -0.0447	Weak_positive 0.0687	Weak_positive 0.0125	Weak_negative -0.0702

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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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