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.


Akcije tvrtki u odnosu na osoblje u posljednjih mjesec dana (da / ne)

Zemlja
Jezik
-
Mail
Preračunati
Kritična vrijednost koeficijenta korelacije
Normalna distribucija, William Sealy Gosset (student) r = 0.0541
Normalna distribucija, William Sealy Gosset (student) r = 0.0541
Ne normalna distribucija, Spearman r = 0.0022
DistribucijaNe
normalan
NormalanNormalanNormalanNormalanNormalanNormalanNormalan
Sva pitanja
Sva pitanja
Koje su akcije poduzete u odnosu na osoblje u posljednjih mjesec dana
Koje su akcije poduzete u odnosu na osoblje u posljednjih mjesec dana
Answer 1-
Slaba pozitivan
0.1264
Slaba pozitivan
0.0389
Slaba negativan
-0.0419
Slaba negativan
-0.1115
Slaba pozitivan
0.0569
Slaba pozitivan
0.0128
Slaba negativan
-0.0376
Answer 2-
Slaba negativan
-0.0173
Slaba negativan
-0.0394
Slaba pozitivan
0.0014
Slaba negativan
-0.0017
Slaba negativan
-0.0254
Slaba pozitivan
0.0032
Slaba pozitivan
0.0637
Answer 3-
Slaba pozitivan
0.0367
Slaba negativan
-0.0132
Slaba pozitivan
0.0176
Slaba negativan
-0.0154
Slaba pozitivan
0.0356
Slaba negativan
-0.0534
Slaba negativan
-0.0054
Answer 4-
Slaba pozitivan
0.0391
Slaba pozitivan
0.0685
Slaba negativan
-0.0036
Slaba negativan
-0.0324
Slaba pozitivan
0.0227
Slaba negativan
-0.0519
Slaba negativan
-0.0191
Answer 5-
Slaba negativan
-0.0072
Slaba pozitivan
0.0329
Slaba negativan
-0.0466
Slaba pozitivan
0.0145
Slaba pozitivan
0.0370
Slaba negativan
-0.0038
Slaba negativan
-0.0226
Answer 6-
Slaba negativan
-0.0108
Slaba pozitivan
0.0145
Slaba pozitivan
0.0441
Slaba negativan
-0.0112
Slaba negativan
-0.0071
Slaba negativan
-0.0093
Slaba negativan
-0.0131
Answer 7-
Slaba pozitivan
0.0382
Slaba pozitivan
0.0327
Slaba negativan
-0.0168
Slaba negativan
-0.0405
Slaba pozitivan
0.0078
Slaba negativan
-0.0060
Slaba negativan
-0.0014
Answer 8-
Slaba negativan
-0.0166
Slaba pozitivan
0.0088
Slaba pozitivan
0.0001
Slaba negativan
-0.0618
Slaba negativan
-0.0311
Slaba pozitivan
0.0669
Slaba pozitivan
0.0338
Answer 9-
Slaba negativan
-0.0533
Slaba pozitivan
0.0260
Slaba pozitivan
0.0340
Slaba pozitivan
0.0632
Slaba negativan
-0.0467
Slaba negativan
-0.0118
Slaba negativan
-0.0192


Izvoz u MS Excel
Ova funkcija će biti dostupna u vlastitim anketama VUCA
U redu


2023.12.09
Valerii kosenko
Vlasnik proizvoda SaaS SDTEST®

Valerii je 1993. godine stekao zvanje socijalnog pedagoga-psihologa i od tada svoje znanje primjenjuje u upravljanju projektima.
Valerii je 2013. stekao magisterij i kvalifikaciju voditelja projekta i programa. Tijekom magistarskog programa upoznao se s Planom projekta (GPM Deutsche Gesellschaft für Projektmanagement e. V.) i Spiralnom dinamikom.
Valerii je autor istraživanja neizvjesnosti V.U.C.A. koncept koji koristi Spiralnu dinamiku i matematičku statistiku u psihologiji, te 38 međunarodnih anketa.
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Bok tamo! Dopustite mi da vas pitam, da li ste već upoznati sa spiralnom dinamikom?