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.


Frygt.

Land
Sprog
-
Mail
Beregner igen
Kritisk værdi af korrelationskoefficienten
Normal distribution af William Sealy Gosset (studerende) r = 0.0353
Normal distribution af William Sealy Gosset (studerende) r = 0.0353
Ikke normal distribution af Spearman r = 0.0014
FordelingIkke
normal
NormalIkke
normal
NormalNormalNormalNormalNormal
Alle spørgsmål
Alle spørgsmål
Min største frygt er
Min største frygt er
Answer 1-
Svag positiv
0.0297
Svag positiv
0.0298
Svag negativ
-0.0106
Svag positiv
0.0970
Svag positiv
0.0325
Svag negativ
-0.0019
Svag negativ
-0.1558
Answer 2-
Svag positiv
0.0188
Svag positiv
0.0076
Svag negativ
-0.0360
Svag positiv
0.0711
Svag positiv
0.0387
Svag positiv
0.0082
Svag negativ
-0.1011
Answer 3-
Svag positiv
0.0026
Svag negativ
-0.0170
Svag negativ
-0.0443
Svag negativ
-0.0458
Svag positiv
0.0547
Svag positiv
0.0808
Svag negativ
-0.0270
Answer 4-
Svag positiv
0.0332
Svag positiv
0.0285
Svag negativ
-0.0006
Svag positiv
0.0155
Svag positiv
0.0276
Svag positiv
0.0105
Svag negativ
-0.0917
Answer 5-
Svag positiv
0.0122
Svag positiv
0.1193
Svag positiv
0.0095
Svag positiv
0.0721
Svag positiv
0.0057
Svag negativ
-0.0083
Svag negativ
-0.1687
Answer 6-
Svag positiv
0.0044
Svag positiv
0.0005
Svag negativ
-0.0582
Svag negativ
-0.0004
Svag positiv
0.0210
Svag positiv
0.0830
Svag negativ
-0.0418
Answer 7-
Svag positiv
0.0242
Svag positiv
0.0368
Svag negativ
-0.0521
Svag negativ
-0.0234
Svag positiv
0.0403
Svag positiv
0.0568
Svag negativ
-0.0597
Answer 8-
Svag positiv
0.0707
Svag positiv
0.0781
Svag negativ
-0.0244
Svag positiv
0.0140
Svag positiv
0.0303
Svag positiv
0.0137
Svag negativ
-0.1334
Answer 9-
Svag positiv
0.0564
Svag positiv
0.1531
Svag positiv
0.0127
Svag positiv
0.0769
Svag negativ
-0.0136
Svag negativ
-0.0495
Svag negativ
-0.1752
Answer 10-
Svag positiv
0.0711
Svag positiv
0.0700
Svag negativ
-0.0127
Svag positiv
0.0246
Svag positiv
0.0363
Svag negativ
-0.0156
Svag negativ
-0.1273
Answer 11-
Svag positiv
0.0542
Svag positiv
0.0488
Svag positiv
0.0086
Svag positiv
0.0078
Svag positiv
0.0162
Svag positiv
0.0315
Svag negativ
-0.1248
Answer 12-
Svag positiv
0.0281
Svag positiv
0.0929
Svag negativ
-0.0325
Svag positiv
0.0361
Svag positiv
0.0276
Svag positiv
0.0365
Svag negativ
-0.1482
Answer 13-
Svag positiv
0.0643
Svag positiv
0.0916
Svag negativ
-0.0418
Svag positiv
0.0237
Svag positiv
0.0425
Svag positiv
0.0239
Svag negativ
-0.1558
Answer 14-
Svag positiv
0.0697
Svag positiv
0.1017
Svag positiv
0.0149
Svag negativ
-0.0062
Svag negativ
-0.0087
Svag negativ
-0.0002
Svag negativ
-0.1161
Answer 15-
Svag positiv
0.0603
Svag positiv
0.1299
Svag negativ
-0.0379
Svag positiv
0.0163
Svag negativ
-0.0091
Svag positiv
0.0164
Svag negativ
-0.1204
Answer 16-
Svag positiv
0.0691
Svag positiv
0.0221
Svag negativ
-0.0305
Svag negativ
-0.0515
Svag positiv
0.0750
Svag positiv
0.0187
Svag negativ
-0.0696


Eksport til MS Excel
Denne funktionalitet vil være tilgængelig i dine egne VUCA-afstemninger
Okay

2023.11.22
Valerii Kosenko
Produktejer SaaS Pet Project SDTest®

Valerii blev kvalificeret som social pædagoge-psykolog i 1993 og har siden anvendt sin viden inden for projektledelse.
Valerii opnåede en kandidatgrad og projekt- og programlederkvalifikationen i 2013. Under sin kandidatuddannelse blev han fortrolig med Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement E. V.) og spiraldynamik.
Valerii tog forskellige spiraldynamikforsøg og brugte sin viden og erfaring til at tilpasse den aktuelle version af SDTest.
Valerii er forfatteren af ​​at udforske usikkerheden i V.U.C.A. Koncept ved hjælp af spiraldynamik og matematisk statistik inden for psykologi, mere end 20 internationale afstemninger.
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Hej! Lad mig spørge dig, kender du allerede spiraldynamikken?