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.

Uloyiko

iitshatiUkuhlanganisa

VUCA

Uhlobo loNxibelelwano	Linear (Pearson) Linear (Pearson) Ayingomgca (Spearman)
Ixabiso elibalulekileyo lomlinganiso wolungelelwaniso	Ukuhanjiswa okuqhelekileyo, nge-william gosset (umfundi) Ukuhanjiswa okuqhelekileyo, nge-william gosset (umfundi) Ukusasazwa okuqhelekileyo, nge-spearman	Bonisa iziphumo kuphela > r = 0.0302

Ukuhanjiswa	Ayiqhelekanga	Ayiqhelekanga	Ayiqhelekanga	Eqhelekileyo	Eqhelekileyo	Eqhelekileyo	Eqhelekileyo	Eqhelekileyo
Yonke imibuzo Yonke imibuzo Olona loyiko lwam lukhulu
Olona loyiko lwam lukhulu
Answer 1	-	HIV amandla 0.0478	HIV amandla 0.0244	Emibi amandla -0.0219	HIV amandla 0.0983	HIV amandla 0.0347	Emibi amandla -0.0126	Emibi amandla -0.1503
Answer 2	-	HIV amandla 0.0248	HIV amandla 0.0004	Emibi amandla -0.0415	HIV amandla 0.0610	HIV amandla 0.0462	HIV amandla 0.0141	Emibi amandla -0.0981
Answer 3	-	Emibi amandla -0.0017	HIV amandla 0.0065	Emibi amandla -0.0473	Emibi amandla -0.0429	HIV amandla 0.0417	HIV amandla 0.0743	Emibi amandla -0.0236
Answer 4	-	HIV amandla 0.0458	HIV amandla 0.0329	Emibi amandla -0.0273	HIV amandla 0.0181	HIV amandla 0.0358	HIV amandla 0.0214	Emibi amandla -0.1008
Answer 5	-	HIV amandla 0.0206	HIV amandla 0.1303	HIV amandla 0.0042	HIV amandla 0.0843	Emibi amandla -0.0006	Emibi amandla -0.0124	Emibi amandla -0.1819
Answer 6	-	HIV amandla 0.0052	HIV amandla 0.0160	Emibi amandla -0.0639	Emibi amandla -0.0117	HIV amandla 0.0156	HIV amandla 0.0861	Emibi amandla -0.0358
Answer 7	-	HIV amandla 0.0074	HIV amandla 0.0443	Emibi amandla -0.0684	Emibi amandla -0.0339	HIV amandla 0.0452	HIV amandla 0.0744	Emibi amandla -0.0511
Answer 8	-	HIV amandla 0.0628	HIV amandla 0.0860	Emibi amandla -0.0291	HIV amandla 0.0109	HIV amandla 0.0343	HIV amandla 0.0164	Emibi amandla -0.1357
Answer 9	-	HIV amandla 0.0776	HIV amandla 0.1617	Emibi amandla -0.0013	HIV amandla 0.0613	Emibi amandla -0.0089	Emibi amandla -0.0494	Emibi amandla -0.1771
Answer 10	-	HIV amandla 0.0800	HIV amandla 0.0624	Emibi amandla -0.0152	HIV amandla 0.0234	HIV amandla 0.0394	Emibi amandla -0.0083	Emibi amandla -0.1359
Answer 11	-	HIV amandla 0.0677	HIV amandla 0.0565	Emibi amandla -0.0084	HIV amandla 0.0088	HIV amandla 0.0237	HIV amandla 0.0185	Emibi amandla -0.1245
Answer 12	-	HIV amandla 0.0411	HIV amandla 0.1032	Emibi amandla -0.0373	HIV amandla 0.0354	HIV amandla 0.0276	HIV amandla 0.0253	Emibi amandla -0.1515
Answer 13	-	HIV amandla 0.0734	HIV amandla 0.1017	Emibi amandla -0.0379	HIV amandla 0.0275	HIV amandla 0.0310	HIV amandla 0.0132	Emibi amandla -0.1581
Answer 14	-	HIV amandla 0.0850	HIV amandla 0.0930	Emibi amandla -0.0075	Emibi amandla -0.0148	HIV amandla 0.0044	HIV amandla 0.0091	Emibi amandla -0.1151
Answer 15	-	HIV amandla 0.0606	HIV amandla 0.1304	Emibi amandla -0.0329	HIV amandla 0.0107	Emibi amandla -0.0203	HIV amandla 0.0232	Emibi amandla -0.1178
Answer 16	-	HIV amandla 0.0712	HIV amandla 0.0323	Emibi amandla -0.0362	Emibi amandla -0.0430	HIV amandla 0.0651	HIV amandla 0.0139	Emibi amandla -0.0708

Rhweba ngaphandle ku MS Excel

Lo msebenzi uza kufumaneka kwi-vuca yakho yeVUCA

Kulungile

2023.11.22

FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma

I-Valerii Kosenko

uMnini weMveliso i-SaaS SDTEST®

U-Valerii wayefaneleka njenge-social pedagogue-psychologist ngo-1993 kwaye ukususela ngoko uye wasebenzisa ulwazi lwakhe kulawulo lweprojekthi.
UValerii wafumana isidanga seMasters kunye neprojekthi kunye nesiqinisekiso somphathi weprogram ngo-2013. Ngexesha lenkqubo yakhe ye-Master, waqhelana neProjekthi yeNdlela yeNdlela (GPM Deutsche Gesellschaft für Projektmanagement e. V.) kunye ne-Spiral Dynamics.
UValerii ngumbhali wokuphonononga ukungaqiniseki kweV.U.C.A. Ingqiqo kusetyenziswa iSpiral Dynamics kunye nezibalo zezibalo kwipsychology, kunye ne-38 yokuvota kumazwe ngamazwe.

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