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.

Mantha

ChartsMalumikizanidwe

VUCA

Tili mtengo wa malumikizanidwe koyefishienti

Kugawa kofananira, ndi William ku Alliamly Gosset (wophunzira) r = 0.0315

Kugawidwa kwakwabwino kwanthawi zonse, kwa Spearman r = 0.0013

Onetsani zotsatira zokha > r = 0.0315

Kugawa	Osakhala wamba	Osakhala wamba	Osakhala wamba	Mwamasikuonse	Mwamasikuonse	Mwamasikuonse	Mwamasikuonse	Mwamasikuonse
Mafunso Onse Mafunso Onse Mantha anga kwambiri ndi
Mantha anga kwambiri ndi
Answer 1	-	Ofooka zabwino 0.0519	Ofooka zabwino 0.0249	Ofooka zoipa -0.0201	Ofooka zabwino 0.0938	Ofooka zabwino 0.0393	Ofooka zoipa -0.0148	Ofooka zoipa -0.1536
Answer 2	-	Ofooka zabwino 0.0160	Ofooka zoipa -0.0089	Ofooka zoipa -0.0381	Ofooka zabwino 0.0645	Ofooka zabwino 0.0505	Ofooka zabwino 0.0138	Ofooka zoipa -0.0948
Answer 3	-	Ofooka zoipa -0.0036	Ofooka zoipa -0.0099	Ofooka zoipa -0.0465	Ofooka zoipa -0.0421	Ofooka zabwino 0.0504	Ofooka zabwino 0.0770	Ofooka zoipa -0.0232
Answer 4	-	Ofooka zabwino 0.0441	Ofooka zabwino 0.0306	Ofooka zoipa -0.0266	Ofooka zabwino 0.0174	Ofooka zabwino 0.0382	Ofooka zabwino 0.0265	Ofooka zoipa -0.1041
Answer 5	-	Ofooka zabwino 0.0220	Ofooka zabwino 0.1235	Ofooka zabwino 0.0108	Ofooka zabwino 0.0747	Ofooka zabwino 0.0006	Ofooka zoipa -0.0155	Ofooka zoipa -0.1747
Answer 6	-	Ofooka zoipa -0.0019	Ofooka zabwino 0.0038	Ofooka zoipa -0.0625	Ofooka zoipa -0.0102	Ofooka zabwino 0.0264	Ofooka zabwino 0.0858	Ofooka zoipa -0.0359
Answer 7	-	Ofooka zabwino 0.0103	Ofooka zabwino 0.0310	Ofooka zoipa -0.0672	Ofooka zoipa -0.0302	Ofooka zabwino 0.0540	Ofooka zabwino 0.0709	Ofooka zoipa -0.0528
Answer 8	-	Ofooka zabwino 0.0651	Ofooka zabwino 0.0685	Ofooka zoipa -0.0275	Ofooka zabwino 0.0124	Ofooka zabwino 0.0401	Ofooka zabwino 0.0177	Ofooka zoipa -0.1337
Answer 9	-	Ofooka zabwino 0.0752	Ofooka zabwino 0.1592	Ofooka zabwino 0.0059	Ofooka zabwino 0.0602	Ofooka zoipa -0.0071	Ofooka zoipa -0.0483	Ofooka zoipa -0.1823
Answer 10	-	Ofooka zabwino 0.0747	Ofooka zabwino 0.0607	Ofooka zoipa -0.0134	Ofooka zabwino 0.0271	Ofooka zabwino 0.0335	Ofooka zoipa -0.0111	Ofooka zoipa -0.1346
Answer 11	-	Ofooka zabwino 0.0632	Ofooka zabwino 0.0502	Ofooka zoipa -0.0089	Ofooka zabwino 0.0089	Ofooka zabwino 0.0283	Ofooka zabwino 0.0252	Ofooka zoipa -0.1282
Answer 12	-	Ofooka zabwino 0.0426	Ofooka zabwino 0.0888	Ofooka zoipa -0.0328	Ofooka zabwino 0.0321	Ofooka zabwino 0.0353	Ofooka zabwino 0.0263	Ofooka zoipa -0.1530
Answer 13	-	Ofooka zabwino 0.0700	Ofooka zabwino 0.0916	Ofooka zoipa -0.0386	Ofooka zabwino 0.0291	Ofooka zabwino 0.0440	Ofooka zabwino 0.0155	Ofooka zoipa -0.1638
Answer 14	-	Ofooka zabwino 0.0811	Ofooka zabwino 0.0861	Ofooka zoipa -0.0041	Ofooka zoipa -0.0124	Ofooka zabwino 0.0081	Ofooka zabwino 0.0148	Ofooka zoipa -0.1207
Answer 15	-	Ofooka zabwino 0.0548	Ofooka zabwino 0.1223	Ofooka zoipa -0.0347	Ofooka zabwino 0.0118	Ofooka zoipa -0.0133	Ofooka zabwino 0.0266	Ofooka zoipa -0.1157
Answer 16	-	Ofooka zabwino 0.0702	Ofooka zabwino 0.0202	Ofooka zoipa -0.0390	Ofooka zoipa -0.0397	Ofooka zabwino 0.0747	Ofooka zabwino 0.0185	Ofooka zoipa -0.0767

Tumizani ku MS Excel

Mauthenga awa adzapezeka mu mapu anu a VUCA

Chabwino

2023.11.22

FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma

Valerii Kosenko

Mwini Zinthu SaaS SDTEST®

Valerii anayenerera kukhala katswiri wa zamaganizo mu 1993 ndipo wakhala akugwiritsa ntchito chidziwitso chake pa kayendetsedwe ka polojekiti.
Valerii adalandira digiri ya Master ndi qualification ya polojekiti ndi pulogalamu ya 2013. Pa pulogalamu ya Master, adadziwa bwino Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) ndi Spiral Dynamics.
Valerii ndi mlembi wofufuza za kusatsimikizika kwa V.U.C.A. Lingaliro logwiritsa ntchito Spiral Dynamics ndi masamu masamu mu psychology, ndi mavoti 38 apadziko lonse lapansi.

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