akwụkwọ dabeere ule «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
Kwasiri

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.


Omume nke ụlọ ọrụ metụtara ndị ọrụ nọ n'ọnwa gara aga (ee / Mba)

Country
Language
-
Mail
Realicate
Critical uru nke mmekọrịta ọnụọgụ
Ngalaba nkịtị, site na William Stel r = 0.0521
Ngalaba nkịtị, site na William Stel r = 0.0521
Ntinye na-abụghị ọrụ, site na Spearman r = 0.0021
NkesaNa-abụghị
nkịtị
Nke kwesiriNa-abụghị
nkịtị
Nke kwesiriNke kwesiriNke kwesiriNke kwesiriNke kwesiri
Ajụjụ niile
Ajụjụ niile
Kedu ihe emere n'ihe metụtara ndị ọrụ n'ọnwa gara aga
Kedu ihe emere n'ihe metụtara ndị ọrụ n'ọnwa gara aga
Answer 1-
Na-adịghị ike mma
0.1213
Na-adịghị ike mma
0.0327
Na-adịghị ike na-adịghị mma
-0.0412
Na-adịghị ike na-adịghị mma
-0.0965
Na-adịghị ike mma
0.0377
Na-adịghị ike mma
0.0201
Na-adịghị ike na-adịghị mma
-0.0309
Answer 2-
Na-adịghị ike na-adịghị mma
-0.0030
Na-adịghị ike na-adịghị mma
-0.0350
Na-adịghị ike na-adịghị mma
-0.0032
Na-adịghị ike na-adịghị mma
-0.0111
Na-adịghị ike na-adịghị mma
-0.0091
Na-adịghị ike na-adịghị mma
-0.0085
Na-adịghị ike mma
0.0606
Answer 3-
Na-adịghị ike mma
0.0334
Na-adịghị ike na-adịghị mma
-0.0146
Na-adịghị ike mma
0.0181
Na-adịghị ike na-adịghị mma
-0.0163
Na-adịghị ike mma
0.0350
Na-adịghị ike na-adịghị mma
-0.0423
Na-adịghị ike na-adịghị mma
-0.0072
Answer 4-
Na-adịghị ike mma
0.0349
Na-adịghị ike mma
0.0613
Na-adịghị ike na-adịghị mma
-0.0090
Na-adịghị ike na-adịghị mma
-0.0315
Na-adịghị ike mma
0.0194
Na-adịghị ike na-adịghị mma
-0.0392
Na-adịghị ike na-adịghị mma
-0.0148
Answer 5-
Na-adịghị ike na-adịghị mma
-0.0090
Na-adịghị ike mma
0.0321
Na-adịghị ike na-adịghị mma
-0.0391
Na-adịghị ike mma
0.0154
Na-adịghị ike mma
0.0250
Na-adịghị ike na-adịghị mma
-0.0101
Na-adịghị ike na-adịghị mma
-0.0175
Answer 6-
Na-adịghị ike na-adịghị mma
-0.0243
Na-adịghị ike na-adịghị mma
-0.0016
Na-adịghị ike mma
0.0424
Na-adịghị ike na-adịghị mma
-0.0073
Na-adịghị ike na-adịghị mma
-0.0022
Na-adịghị ike mma
0.0064
Na-adịghị ike na-adịghị mma
-0.0187
Answer 7-
Na-adịghị ike mma
0.0271
Na-adịghị ike mma
0.0351
Na-adịghị ike na-adịghị mma
-0.0204
Na-adịghị ike na-adịghị mma
-0.0346
Na-adịghị ike mma
0.0090
Na-adịghị ike na-adịghị mma
-0.0018
Na-adịghị ike mma
0.0009
Answer 8-
Na-adịghị ike na-adịghị mma
-0.0126
Na-adịghị ike na-adịghị mma
-0.0018
Na-adịghị ike na-adịghị mma
-0.0118
Na-adịghị ike na-adịghị mma
-0.0379
Na-adịghị ike na-adịghị mma
-0.0342
Na-adịghị ike mma
0.0655
Na-adịghị ike mma
0.0338
Answer 9-
Na-adịghị ike na-adịghị mma
-0.0569
Na-adịghị ike mma
0.0362
Na-adịghị ike mma
0.0356
Na-adịghị ike mma
0.0668
Na-adịghị ike na-adịghị mma
-0.0571
Na-adịghị ike na-adịghị mma
-0.0105
Na-adịghị ike na-adịghị mma
-0.0216


Export ka MS Excel
Ọrụ a ga-adị na ntụli aka nke VUCA nke gị
Ọ dị mma


2023.12.09
Valerii Kosenko
Onye nwe ngwaahịa SaaS SDTEST®

Valerii tozuru oke dị ka onye nkuzi mmekọrịta mmadụ na mmụọ na 1993 wee tinye ihe ọmụma ya n'ọrụ na njikwa ọrụ.
Valerii nwetara nzere Master na oru ngo na mmemme njikwa mmemme na 2013. N'oge mmemme Nna-ukwu ya, ọ maara Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) na Spiral Dynamics.
Valerii bụ onye dere nyocha nke ejighị n'aka nke V.U.C.A. echiche iji Spiral Dynamics na mgbakọ na mwepụ mgbakọ na mwepụ na akparamaagwa, na 38 mba ntuli aka.
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