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 = 0.0538
Normalna distribucija, William Sealy Gosset (student) r = 0.0538
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
0.1219
Slaba pozitivan
0.0358
Slaba negativan
-0.0376
Slaba negativan
-0.1090
Slaba pozitivan
0.0527
Slaba pozitivan
0.0143
Slaba negativan
-0.0358
Answer 2-
Slaba negativan
-0.0138
Slaba negativan
-0.0402
Slaba pozitivan
0.0020
Slaba negativan
-0.0035
Slaba negativan
-0.0256
Slaba pozitivan
0.0006
Slaba pozitivan
0.0656
Answer 3-
Slaba pozitivan
0.0360
Slaba negativan
-0.0136
Slaba pozitivan
0.0184
Slaba negativan
-0.0156
Slaba pozitivan
0.0353
Slaba negativan
-0.0528
Slaba negativan
-0.0054
Answer 4-
Slaba pozitivan
0.0384
Slaba pozitivan
0.0676
Slaba negativan
-0.0027
Slaba negativan
-0.0325
Slaba pozitivan
0.0225
Slaba negativan
-0.0513
Slaba negativan
-0.0190
Answer 5-
Slaba negativan
-0.0065
Slaba pozitivan
0.0405
Slaba negativan
-0.0417
Slaba pozitivan
0.0165
Slaba pozitivan
0.0289
Slaba negativan
-0.0110
Slaba negativan
-0.0206
Answer 6-
Slaba negativan
-0.0114
Slaba pozitivan
0.0115
Slaba pozitivan
0.0428
Slaba negativan
-0.0107
Slaba negativan
-0.0040
Slaba negativan
-0.0106
Slaba negativan
-0.0117
Answer 7-
Slaba pozitivan
0.0360
Slaba pozitivan
0.0367
Slaba negativan
-0.0191
Slaba negativan
-0.0371
Slaba pozitivan
0.0097
Slaba negativan
-0.0043
Slaba negativan
-0.0072
Answer 8-
Slaba negativan
-0.0154
Slaba pozitivan
0.0049
Slaba negativan
-0.0068
Slaba negativan
-0.0546
Slaba negativan
-0.0363
Slaba pozitivan
0.0681
Slaba pozitivan
0.0390
Answer 9-
Slaba negativan
-0.0546
Slaba pozitivan
0.0282
Slaba pozitivan
0.0296
Slaba pozitivan
0.0641
Slaba negativan
-0.0446
Slaba negativan
-0.0073
Slaba negativan
-0.0230


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?