Feathered Correlations: Color Predicting Culture in Diverse Flocks After Disaster

There were once colorful flocks of birds that lived together in a big forest. These flocks of birds had different ratios of beige birds, purple birds, red birds, blue birds, orange birds, green birds, yellow birds, and turquoise birds. These different proportions of colors influenced each flock's values, culture, and atmosphere. Their leaders made decisions based on the most common bird colors.


One day, after a bad storm, the flock leaders made tough choices to help their birds survive.


In Swift's flock, purple and green birds predominated. True to their adventurous nature, Swift sent the purple and green birds to find new food sources (unpaid vacation). She asked the orange birds to scout for materials to rebuild damaged nests because they loved to compete.


Feather's flock mainly had blue, who valued stability, and orange birds, who loved competition. The no-nonsense orange birds got right to work on repairs (no reduced staff). And the peaceful blue birds kept singing to lift spirits, so Feather changed nothing about their routines (nothing changed).  


Hootie's flock had many sociable yellow birds who could always find a profitable solution for everyone and possessed a Win-Win-Win behavior. When the yellow birds' food storage was damaged, instead of reducing their rations (reduced salaries), Hootie asked the red birds to share the extra food they had gathered. So, yellow birds' food storage wasn't changed (no reduced salaries).


Over in Willa's flock, fun-loving turquoise birds were the majority. After the storm, Willa kept all her turquoise birds in their usual nests, singing songs since their cheerfulness helped the whole flock recover (nothing changed). But she had to ask the few red and orange birds to rebuild damaged nests belonging to elder beige birds temporarily.


Each diverse flock recovered based on its colorful culture and connections. But all birds worked cooperatively despite difficulties to continue thriving in the forest.


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving an "Actions of companies in relation to personnel in the last month (yes / no)" poll. It asks people about actions of companies in relation to personnel in the last month. 


Now imagine 1'000 people who took both tests. You could match up each person's SDTEST® colors with their answers about actions of companies in relation to personnel in the last month.


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 what is the perception of the actions of companies in relation to personnel in the last month. 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 "Actions of companies in relation to personnel in the last month (yes / no)". The full results of the poll are available for free in the FAQ section after login or registration.


Azzione di cumpagnie in relazione à u persunale in l'ultimu mese (Iè / No)

paese
lingua
-
Mail
Recalculate
Valore criticu di u coefficiente di correlazione
Distribuzione normale, da William Sealy Gosset (Studiente) r = 0.0578
Distribuzione normale, da William Sealy Gosset (Studiente) r = 0.0578
Distribuzione non Normale, da Bearman r = 0.0024
DistribuzioneNon
normale
NurmaleNurmaleNurmaleNurmaleNurmaleNurmaleNurmale
Tutte e dumande
Tutte e dumande
Chì l'azzioni sò stati purtati in relazione à u persunale in l'ultimu mese
Chì l'azzioni sò stati purtati in relazione à u persunale in l'ultimu mese
Answer 1-
Pusitivu debuli
0.1333
Pusitivu debuli
0.0225
Negativu debuli
-0.0559
Negativu debuli
-0.1033
Pusitivu debuli
0.0710
Pusitivu debuli
0.0335
Negativu debuli
-0.0588
Answer 2-
Negativu debuli
-0.0227
Negativu debuli
-0.0637
Pusitivu debuli
0.0085
Pusitivu debuli
0.0017
Negativu debuli
-0.0197
Negativu debuli
-0.0047
Pusitivu debuli
0.0767
Answer 3-
Pusitivu debuli
0.0297
Pusitivu debuli
0.0126
Pusitivu debuli
0.0261
Negativu debuli
-0.0256
Pusitivu debuli
0.0354
Negativu debuli
-0.0509
Negativu debuli
-0.0185
Answer 4-
Pusitivu debuli
0.0351
Pusitivu debuli
0.0566
Pusitivu debuli
0.0028
Negativu debuli
-0.0140
Pusitivu debuli
0.0281
Negativu debuli
-0.0584
Negativu debuli
-0.0301
Answer 5-
Negativu debuli
-0.0053
Pusitivu debuli
0.0321
Negativu debuli
-0.0516
Pusitivu debuli
0.0332
Pusitivu debuli
0.0246
Negativu debuli
-0.0059
Negativu debuli
-0.0243
Answer 6-
Negativu debuli
-0.0208
Pusitivu debuli
0.0200
Pusitivu debuli
0.0495
Pusitivu debuli
0.0006
Negativu debuli
-0.0027
Negativu debuli
-0.0086
Negativu debuli
-0.0322
Answer 7-
Pusitivu debuli
0.0503
Pusitivu debuli
0.0307
Negativu debuli
-0.0084
Negativu debuli
-0.0618
Pusitivu debuli
0.0126
Negativu debuli
-0.0067
Pusitivu debuli
0.0025
Answer 8-
Negativu debuli
-0.0076
Negativu debuli
-0.0066
Pusitivu debuli
0.0003
Negativu debuli
-0.0527
Negativu debuli
-0.0270
Pusitivu debuli
0.0633
Pusitivu debuli
0.0285
Answer 9-
Negativu debuli
-0.0435
Pusitivu debuli
0.0541
Pusitivu debuli
0.0294
Pusitivu debuli
0.0613
Negativu debuli
-0.0588
Negativu debuli
-0.0191
Negativu debuli
-0.0218


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2023.12.09
Valerii Kosenko
U pruprietariu di u produttu Saas Project prugettu SDTEST®

Valerii hè stata qualificata cum'è psicologu suciale in u 1993 è hà dapulu chì a so cunniscenza in a gestione di u prugettu.
Valerii ottenutu un masturatu è u prugettu è u prugettu di u spettore, diventò fami (GPM deutsche Roadmaft per T. V.) è Dì Spitchenje.
Valerii hà pigliatu parechji testi di dinaghjicati Superali è utilizonu a so cunniscenza è l'esperienza per adattà a versione attuale di Sdtest.
Valerii hè l'autore di spiegà l'incertezza di u v.u.c.a. cuncettu utilizendu statistiche spreal Dìmiche è statistiche matematiche in psicologia, più di 20 sondaghji internaziunali.
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