libro proba baseada «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
Patrocinadores

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.


Accións das empresas en relación co persoal no último mes (si / non)

país
Lingua
-
Mail
Recalcular
O valor crítico do coeficiente de correlación
Distribución normal, de William Sealy Gosset (estudante) r = 0.0541
Distribución normal, de William Sealy Gosset (estudante) r = 0.0541
Distribución non normal, por Spearman r = 0.0022
DistribuciónNon
normal
NormalNormalNormalNormalNormalNormalNormal
Todas as preguntas
Todas as preguntas
Que accións se realizaron en relación ao persoal no último mes
Que accións se realizaron en relación ao persoal no último mes
Answer 1-
Débil positivo
0.1301
Débil positivo
0.0400
Débil negativo
-0.0470
Débil negativo
-0.1056
Débil positivo
0.0533
Débil positivo
0.0165
Débil negativo
-0.0373
Answer 2-
Débil negativo
-0.0154
Débil negativo
-0.0405
Débil positivo
0.0047
Débil negativo
-0.0033
Débil negativo
-0.0243
Débil positivo
0.0016
Débil positivo
0.0631
Answer 3-
Débil positivo
0.0401
Débil negativo
-0.0108
Débil positivo
0.0179
Débil negativo
-0.0136
Débil positivo
0.0351
Débil negativo
-0.0568
Débil negativo
-0.0051
Answer 4-
Débil positivo
0.0384
Débil positivo
0.0680
Débil negativo
-0.0040
Débil negativo
-0.0302
Débil positivo
0.0225
Débil negativo
-0.0512
Débil negativo
-0.0194
Answer 5-
Débil negativo
-0.0056
Débil positivo
0.0309
Débil negativo
-0.0467
Débil positivo
0.0148
Débil positivo
0.0351
Débil negativo
-0.0053
Débil negativo
-0.0261
Answer 6-
Débil negativo
-0.0143
Débil positivo
0.0118
Débil positivo
0.0426
Débil negativo
-0.0113
Débil negativo
-0.0044
Débil negativo
-0.0103
Débil negativo
-0.0143
Answer 7-
Débil positivo
0.0394
Débil positivo
0.0301
Débil negativo
-0.0159
Débil negativo
-0.0392
Débil positivo
0.0097
Débil negativo
-0.0086
Débil positivo
0.0020
Answer 8-
Débil negativo
-0.0150
Débil positivo
0.0060
Débil positivo
0.0002
Débil negativo
-0.0586
Débil negativo
-0.0293
Débil positivo
0.0673
Débil positivo
0.0353
Answer 9-
Débil negativo
-0.0565
Débil positivo
0.0287
Débil positivo
0.0336
Débil positivo
0.0626
Débil negativo
-0.0498
Débil negativo
-0.0102
Débil negativo
-0.0174


Exportación para MS Excel
Esta funcionalidade estará dispoñible nas túas propias enquisas de VUCA
Ok


2023.12.09
Valerii Kosenko
Proxecto de propietario de produtos Saas Pet Project Sdtest®

Valerii foi cualificado como pedagogo social-psicólogo en 1993 e desde entón aplicou os seus coñecementos na xestión de proxectos.
Valerii obtivo un máster e a cualificación do xestor de proxectos e do programa en 2013. Durante o seu programa de máster, familiarizouse coa folla de ruta do proxecto (GPM Deutsche Gesellschaft Für ProjektManagement E. V.) e dinámica espiral.
Valerii realizou varias probas de dinámica en espiral e utilizou os seus coñecementos e experiencia para adaptar a versión actual de SDTest.
Valerii é o autor de explorar a incerteza do V.U.C.A. Concepto empregando dinámicas en espiral e estatísticas matemáticas en psicoloxía, máis de 20 enquisas internacionais.
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Ola alí! Déixame preguntarche, xa estás familiarizado coa dinámica en espiral?