पुस्तक आधारित परीक्षण «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
प्रायोजकहरू

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.


गत महिनामा कर्मचारीहरूको सम्बन्धमा कम्पनीहरूको कार्यहरू (हो / होईन)

देश
भाषा
-
Mail
पुन: स्थापना
सहसंबंध गुणांकको आलोचनात्मक मूल्य
सामान्य वितरण, विलियम समुद्री पाउडसेट द्वारा (विद्यार्थी) r = 0.0542
सामान्य वितरण, विलियम समुद्री पाउडसेट द्वारा (विद्यार्थी) r = 0.0542
भायरम्यान द्वारा गैर सामान्य वितरण r = 0.0022
वितरणगैर
सामान्य
साधारणसाधारणसाधारणसाधारणसाधारणसाधारणसाधारण
सबै प्रश्नहरू
सबै प्रश्नहरू
गत महिनामा स्टाफको सम्बन्धमा के कार्यहरू लिएका छन्
गत महिनामा स्टाफको सम्बन्धमा के कार्यहरू लिएका छन्
Answer 1-
कमजोर सकारात्मक
0.1261
कमजोर सकारात्मक
0.0390
कमजोर नकरात्मक
-0.0430
कमजोर नकरात्मक
-0.1108
कमजोर सकारात्मक
0.0570
कमजोर सकारात्मक
0.0126
कमजोर नकरात्मक
-0.0371
Answer 2-
कमजोर नकरात्मक
-0.0173
कमजोर नकरात्मक
-0.0407
कमजोर सकारात्मक
0.0046
कमजोर नकरात्मक
-0.0037
कमजोर नकरात्मक
-0.0251
कमजोर सकारात्मक
0.0051
कमजोर सकारात्मक
0.0620
Answer 3-
कमजोर सकारात्मक
0.0364
कमजोर नकरात्मक
-0.0133
कमजोर सकारात्मक
0.0169
कमजोर नकरात्मक
-0.0147
कमजोर सकारात्मक
0.0356
कमजोर नकरात्मक
-0.0538
कमजोर नकरात्मक
-0.0051
Answer 4-
कमजोर सकारात्मक
0.0388
कमजोर सकारात्मक
0.0687
कमजोर नकरात्मक
-0.0044
कमजोर नकरात्मक
-0.0317
कमजोर सकारात्मक
0.0227
कमजोर नकरात्मक
-0.0523
कमजोर नकरात्मक
-0.0188
Answer 5-
कमजोर नकरात्मक
-0.0075
कमजोर सकारात्मक
0.0330
कमजोर नकरात्मक
-0.0475
कमजोर सकारात्मक
0.0152
कमजोर सकारात्मक
0.0370
कमजोर नकरात्मक
-0.0041
कमजोर नकरात्मक
-0.0223
Answer 6-
कमजोर नकरात्मक
-0.0113
कमजोर सकारात्मक
0.0145
कमजोर सकारात्मक
0.0431
कमजोर नकरात्मक
-0.0102
कमजोर नकरात्मक
-0.0071
कमजोर नकरात्मक
-0.0097
कमजोर नकरात्मक
-0.0126
Answer 7-
कमजोर सकारात्मक
0.0378
कमजोर सकारात्मक
0.0328
कमजोर नकरात्मक
-0.0178
कमजोर नकरात्मक
-0.0395
कमजोर सकारात्मक
0.0079
कमजोर नकरात्मक
-0.0064
कमजोर नकरात्मक
-0.0009
Answer 8-
कमजोर नकरात्मक
-0.0169
कमजोर सकारात्मक
0.0088
कमजोर नकरात्मक
-0.0003
कमजोर नकरात्मक
-0.0613
कमजोर नकरात्मक
-0.0311
कमजोर सकारात्मक
0.0671
कमजोर सकारात्मक
0.0342
Answer 9-
कमजोर नकरात्मक
-0.0526
कमजोर सकारात्मक
0.0274
कमजोर सकारात्मक
0.0323
कमजोर सकारात्मक
0.0639
कमजोर नकरात्मक
-0.0473
कमजोर नकरात्मक
-0.0134
कमजोर नकरात्मक
-0.0178


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2023.12.09
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