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 = 0.03

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 0.0264	Weak_negative -0.0248	Weak_positive 0.0985	Weak_positive 0.0330	Weak_negative -0.0101	Weak_negative -0.1500
Answer 2	-	Weak_positive 0.0218	Weak_positive 0.0010	Weak_negative -0.0411	Weak_positive 0.0623	Weak_positive 0.0458	Weak_positive 0.0135	Weak_negative -0.0975
Answer 3	-	Weak_negative -0.0017	Weak_positive 0.0041	Weak_negative -0.0475	Weak_negative -0.0435	Weak_positive 0.0425	Weak_positive 0.0763	Weak_negative -0.0237
Answer 4	-	Weak_positive 0.0447	Weak_positive 0.0328	Weak_negative -0.0298	Weak_positive 0.0184	Weak_positive 0.0337	Weak_positive 0.0243	Weak_negative -0.0989
Answer 5	-	Weak_positive 0.0222	Weak_positive 0.1284	Weak_positive 0.0032	Weak_positive 0.0832	Weak_positive 0.0002	Weak_negative -0.0099	Weak_negative -0.1827
Answer 6	-	Weak_positive 0.0048	Weak_positive 0.0163	Weak_negative -0.0634	Weak_negative -0.0119	Weak_positive 0.0141	Weak_positive 0.0884	Weak_negative -0.0368
Answer 7	-	Weak_positive 0.0110	Weak_positive 0.0441	Weak_negative -0.0679	Weak_negative -0.0351	Weak_positive 0.0436	Weak_positive 0.0757	Weak_negative -0.0524
Answer 8	-	Weak_positive 0.0623	Weak_positive 0.0837	Weak_negative -0.0294	Weak_positive 0.0107	Weak_positive 0.0349	Weak_positive 0.0195	Weak_negative -0.1367
Answer 9	-	Weak_positive 0.0730	Weak_positive 0.1599	Weak_negative -0.0008	Weak_positive 0.0621	Weak_negative -0.0090	Weak_negative -0.0465	Weak_negative -0.1765
Answer 10	-	Weak_positive 0.0751	Weak_positive 0.0618	Weak_negative -0.0161	Weak_positive 0.0235	Weak_positive 0.0381	Weak_negative -0.0032	Weak_negative -0.1348
Answer 11	-	Weak_positive 0.0649	Weak_positive 0.0559	Weak_negative -0.0081	Weak_positive 0.0093	Weak_positive 0.0232	Weak_positive 0.0223	Weak_negative -0.1260
Answer 12	-	Weak_positive 0.0410	Weak_positive 0.1047	Weak_negative -0.0391	Weak_positive 0.0359	Weak_positive 0.0266	Weak_positive 0.0273	Weak_negative -0.1524
Answer 13	-	Weak_positive 0.0746	Weak_positive 0.1008	Weak_negative -0.0385	Weak_positive 0.0271	Weak_positive 0.0320	Weak_positive 0.0157	Weak_negative -0.1603
Answer 14	-	Weak_positive 0.0824	Weak_positive 0.0910	Weak_negative -0.0080	Weak_negative -0.0149	Weak_positive 0.0034	Weak_positive 0.0129	Weak_negative -0.1140
Answer 15	-	Weak_positive 0.0550	Weak_positive 0.1294	Weak_negative -0.0306	Weak_positive 0.0117	Weak_negative -0.0217	Weak_positive 0.0261	Weak_negative -0.1177
Answer 16	-	Weak_positive 0.0684	Weak_positive 0.0315	Weak_negative -0.0342	Weak_negative -0.0441	Weak_positive 0.0621	Weak_positive 0.0192	Weak_negative -0.0709

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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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