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.


Eagla

Tír
Teanga
-
Mail
Athchúrsáil
Luach criticiúil an chomhéifeacht comhghaoil
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0353
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0353
Dáileadh Neamh -Ghnáth, le Spearman r = 0.0014
ImdháileadhNeamhghnáchGnáth-NeamhghnáchGnáth-Gnáth-Gnáth-Gnáth-Gnáth-
Gach ceist
Gach ceist
Is é an t-eagla is mó atá agam ná
Is é an t-eagla is mó atá agam ná
Answer 1-
Dearfach lag
0.0297
Dearfach lag
0.0298
Diúltach lag
-0.0106
Dearfach lag
0.0970
Dearfach lag
0.0325
Diúltach lag
-0.0019
Diúltach lag
-0.1558
Answer 2-
Dearfach lag
0.0188
Dearfach lag
0.0076
Diúltach lag
-0.0360
Dearfach lag
0.0711
Dearfach lag
0.0387
Dearfach lag
0.0082
Diúltach lag
-0.1011
Answer 3-
Dearfach lag
0.0026
Diúltach lag
-0.0170
Diúltach lag
-0.0443
Diúltach lag
-0.0458
Dearfach lag
0.0547
Dearfach lag
0.0808
Diúltach lag
-0.0270
Answer 4-
Dearfach lag
0.0332
Dearfach lag
0.0285
Diúltach lag
-0.0006
Dearfach lag
0.0155
Dearfach lag
0.0276
Dearfach lag
0.0105
Diúltach lag
-0.0917
Answer 5-
Dearfach lag
0.0122
Dearfach lag
0.1193
Dearfach lag
0.0095
Dearfach lag
0.0721
Dearfach lag
0.0057
Diúltach lag
-0.0083
Diúltach lag
-0.1687
Answer 6-
Dearfach lag
0.0044
Dearfach lag
0.0005
Diúltach lag
-0.0582
Diúltach lag
-0.0004
Dearfach lag
0.0210
Dearfach lag
0.0830
Diúltach lag
-0.0418
Answer 7-
Dearfach lag
0.0242
Dearfach lag
0.0368
Diúltach lag
-0.0521
Diúltach lag
-0.0234
Dearfach lag
0.0403
Dearfach lag
0.0568
Diúltach lag
-0.0597
Answer 8-
Dearfach lag
0.0707
Dearfach lag
0.0781
Diúltach lag
-0.0244
Dearfach lag
0.0140
Dearfach lag
0.0303
Dearfach lag
0.0137
Diúltach lag
-0.1334
Answer 9-
Dearfach lag
0.0564
Dearfach lag
0.1531
Dearfach lag
0.0127
Dearfach lag
0.0769
Diúltach lag
-0.0136
Diúltach lag
-0.0495
Diúltach lag
-0.1752
Answer 10-
Dearfach lag
0.0711
Dearfach lag
0.0700
Diúltach lag
-0.0127
Dearfach lag
0.0246
Dearfach lag
0.0363
Diúltach lag
-0.0156
Diúltach lag
-0.1273
Answer 11-
Dearfach lag
0.0542
Dearfach lag
0.0488
Dearfach lag
0.0086
Dearfach lag
0.0078
Dearfach lag
0.0162
Dearfach lag
0.0315
Diúltach lag
-0.1248
Answer 12-
Dearfach lag
0.0281
Dearfach lag
0.0929
Diúltach lag
-0.0325
Dearfach lag
0.0361
Dearfach lag
0.0276
Dearfach lag
0.0365
Diúltach lag
-0.1482
Answer 13-
Dearfach lag
0.0643
Dearfach lag
0.0916
Diúltach lag
-0.0418
Dearfach lag
0.0237
Dearfach lag
0.0425
Dearfach lag
0.0239
Diúltach lag
-0.1558
Answer 14-
Dearfach lag
0.0697
Dearfach lag
0.1017
Dearfach lag
0.0149
Diúltach lag
-0.0062
Diúltach lag
-0.0087
Diúltach lag
-0.0002
Diúltach lag
-0.1161
Answer 15-
Dearfach lag
0.0603
Dearfach lag
0.1299
Diúltach lag
-0.0379
Dearfach lag
0.0163
Diúltach lag
-0.0091
Dearfach lag
0.0164
Diúltach lag
-0.1204
Answer 16-
Dearfach lag
0.0691
Dearfach lag
0.0221
Diúltach lag
-0.0305
Diúltach lag
-0.0515
Dearfach lag
0.0750
Dearfach lag
0.0187
Diúltach lag
-0.0696


Easpórtáil go MS Excel
Beidh an fheidhmiúlacht seo ar fáil i do vótaíochtaí VUCA féin
Go maith

2023.11.22
Valerii Kosenko
Úinéir an Táirge SaaS Pet Project Sdtest®

Bhí Valerii cáilithe mar shíceolaí oideolaíoch sóisialta i 1993 agus ó shin i leith chuir sé a chuid eolais i bhfeidhm i mbainistíocht tionscadail.
Fuair ​​Valerii céim mháistreachta agus cáilíocht an tionscadail agus an bhainisteora cláir in 2013. Le linn a chláir mháistir, bhí sé eolach ar threochlár Project (GPM Deutsche Gesellschaft Für Projektmanagement e. V.) agus dinimic Spiral.
Ghlac Valerii tástálacha éagsúla dinimic bíseach agus d'úsáid sé a chuid eolais agus taithí chun an leagan reatha de SDTest a oiriúnú.
Is é Valerii údar iniúchadh a dhéanamh ar neamhchinnteacht an V.U.C.A. Coincheap ag baint úsáide as dinimic bíseach agus staitisticí matamaiticiúla i síceolaíocht, níos mó ná 20 vótaíocht idirnáisiúnta.
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