Domov/Blog/Feathered Correlations: Color Predicting Culture in Diverse Flocks After Disaster

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.

Akcie spoločností vo vzťahu k personálu za posledný mesiac (áno / nie)

grafyKorelácia

VUCA

Kritická hodnota korelačného koeficientu

Normálne rozdelenie, od Williama Sealyho Gosset (študent) r = 0.0511

Normálne rozdelenie, Spearman r = 0.0021

Zobraziť iba výsledky > r = 0.0511

Distribúcia	Nekonečný	Normálny	Nekonečný	Normálny	Normálny	Normálny	Normálny	Normálny
Všetky otázky Všetky otázky Aké kroky sa podnikli vo vzťahu k zamestnancom za posledný mesiac
Aké kroky sa podnikli vo vzťahu k zamestnancom za posledný mesiac
Answer 1	-	Slabo pozitívne 0.1250	Slabo pozitívne 0.0280	Slabý negatívny -0.0419	Slabý negatívny -0.0952	Slabo pozitívne 0.0426	Slabo pozitívne 0.0118	Slabý negatívny -0.0307
Answer 2	-	Slabý negatívny -0.0091	Slabý negatívny -0.0466	Slabý negatívny -0.0017	Slabý negatívny -0.0096	Slabý negatívny -0.0129	Slabý negatívny -0.0038	Slabo pozitívne 0.0683
Answer 3	-	Slabo pozitívne 0.0255	Slabý negatívny -0.0214	Slabo pozitívne 0.0191	Slabý negatívny -0.0170	Slabo pozitívne 0.0386	Slabý negatívny -0.0367	Slabý negatívny -0.0077
Answer 4	-	Slabo pozitívne 0.0302	Slabo pozitívne 0.0579	Slabý negatívny -0.0091	Slabý negatívny -0.0319	Slabo pozitívne 0.0199	Slabý negatívny -0.0312	Slabý negatívny -0.0166
Answer 5	-	Slabý negatívny -0.0130	Slabo pozitívne 0.0416	Slabý negatívny -0.0360	Slabo pozitívne 0.0148	Slabo pozitívne 0.0226	Slabý negatívny -0.0091	Slabý negatívny -0.0178
Answer 6	-	Slabý negatívny -0.0231	Slabý negatívny -0.0044	Slabo pozitívne 0.0429	Slabý negatívny -0.0046	Slabý negatívny -0.0056	Slabo pozitívne 0.0139	Slabý negatívny -0.0171
Answer 7	-	Slabo pozitívne 0.0250	Slabo pozitívne 0.0357	Slabý negatívny -0.0242	Slabý negatívny -0.0378	Slabo pozitívne 0.0122	Slabo pozitívne 0.0066	Slabý negatívny -0.0060
Answer 8	-	Slabý negatívny -0.0175	Slabý negatívny -0.0010	Slabý negatívny -0.0122	Slabý negatívny -0.0324	Slabý negatívny -0.0292	Slabo pozitívne 0.0625	Slabo pozitívne 0.0243
Answer 9	-	Slabý negatívny -0.0571	Slabo pozitívne 0.0471	Slabo pozitívne 0.0363	Slabo pozitívne 0.0660	Slabý negatívny -0.0523	Slabý negatívny -0.0092	Slabý negatívny -0.0327

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Táto funkcia bude k dispozícii vo vašich vlastných anketách VUCA

V poriadku

2023.12.09

FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma

Valerii Kosenko

Vlastník produktu SaaS SDTEST®

Valerii získal kvalifikáciu sociálneho pedagóga-psychológa v roku 1993 a odvtedy svoje znalosti uplatňuje v projektovom manažmente.
Valerii získal magisterský titul a kvalifikáciu projektového a programového manažéra v roku 2013. Počas magisterského štúdia sa zoznámil s Plánom projektu (GPM Deutsche Gesellschaft für Projektmanagement e. V.) a Špirálovou dynamikou.
Valerii je autorom skúmania neistoty V.U.C.A. koncept využívajúci špirálovú dynamiku a matematickú štatistiku v psychológii a 38 medzinárodných prieskumov verejnej mienky.

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