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
0.1212
Na-adịghị ike mma
0.0326
Na-adịghị ike na-adịghị mma
-0.0410
Na-adịghị ike na-adịghị mma
-0.0963
Na-adịghị ike mma
0.0374
Na-adịghị ike mma
0.0199
Na-adịghị ike na-adịghị mma
-0.0307
Answer 2-
Na-adịghị ike na-adịghị mma
-0.0037
Na-adịghị ike na-adịghị mma
-0.0356
Na-adịghị ike na-adịghị mma
-0.0025
Na-adịghị ike na-adịghị mma
-0.0101
Na-adịghị ike na-adịghị mma
-0.0102
Na-adịghị ike na-adịghị mma
-0.0094
Na-adịghị ike mma
0.0616
Answer 3-
Na-adịghị ike mma
0.0333
Na-adịghị ike na-adịghị mma
-0.0148
Na-adịghị ike mma
0.0182
Na-adịghị ike na-adịghị mma
-0.0160
Na-adịghị ike mma
0.0348
Na-adịghị ike na-adịghị mma
-0.0426
Na-adịghị ike na-adịghị mma
-0.0070
Answer 4-
Na-adịghị ike mma
0.0348
Na-adịghị ike mma
0.0612
Na-adịghị ike na-adịghị mma
-0.0089
Na-adịghị ike na-adịghị mma
-0.0313
Na-adịghị ike mma
0.0192
Na-adịghị ike na-adịghị mma
-0.0394
Na-adịghị ike na-adịghị mma
-0.0146
Answer 5-
Na-adịghị ike na-adịghị mma
-0.0091
Na-adịghị ike mma
0.0320
Na-adịghị ike na-adịghị mma
-0.0389
Na-adịghị ike mma
0.0157
Na-adịghị ike mma
0.0248
Na-adịghị ike na-adịghị mma
-0.0103
Na-adịghị ike na-adịghị mma
-0.0173
Answer 6-
Na-adịghị ike na-adịghị mma
-0.0245
Na-adịghị ike na-adịghị mma
-0.0017
Na-adịghị ike mma
0.0427
Na-adịghị ike na-adịghị mma
-0.0070
Na-adịghị ike na-adịghị mma
-0.0026
Na-adịghị ike mma
0.0062
Na-adịghị ike na-adịghị mma
-0.0184
Answer 7-
Na-adịghị ike mma
0.0269
Na-adịghị ike mma
0.0350
Na-adịghị ike na-adịghị mma
-0.0202
Na-adịghị ike na-adịghị mma
-0.0343
Na-adịghị ike mma
0.0086
Na-adịghị ike na-adịghị mma
-0.0021
Na-adịghị ike mma
0.0011
Answer 8-
Na-adịghị ike na-adịghị mma
-0.0127
Na-adịghị ike na-adịghị mma
-0.0019
Na-adịghị ike na-adịghị mma
-0.0117
Na-adịghị ike na-adịghị mma
-0.0377
Na-adịghị ike na-adịghị mma
-0.0344
Na-adịghị ike mma
0.0654
Na-adịghị ike mma
0.0340
Answer 9-
Na-adịghị ike na-adịghị mma
-0.0558
Na-adịghị ike mma
0.0372
Na-adịghị ike mma
0.0344
Na-adịghị ike mma
0.0650
Na-adịghị ike na-adịghị mma
-0.0554
Na-adịghị ike na-adịghị mma
-0.0089
Na-adịghị ike na-adịghị mma
-0.0233


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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