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.


上个月与人员有关的公司的行动(是 /否)

國家
語言
-
Mail
重新计算
的相关系数的临界值
正态分布,威廉·西莉·格塞特(William Sealy Gosset)(学生) r = 0.0542
正态分布,威廉·西莉·格塞特(William Sealy Gosset)(学生) r = 0.0542
非正态分布,Spearman r = 0.0022
分配非正常普通的普通的普通的普通的普通的普通的普通的
所有问题
所有问题
上个月与员工有关的行动已采取了什么行动
上个月与员工有关的行动已采取了什么行动
Answer 1-
弱阳性
0.1294
弱阳性
0.0402
弱负
-0.0475
弱负
-0.1051
弱阳性
0.0539
弱阳性
0.0160
弱负
-0.0373
Answer 2-
弱负
-0.0157
弱负
-0.0417
弱阳性
0.0033
弱负
-0.0044
弱负
-0.0250
弱阳性
0.0047
弱阳性
0.0646
Answer 3-
弱阳性
0.0396
弱负
-0.0107
弱阳性
0.0177
弱负
-0.0131
弱阳性
0.0355
弱负
-0.0573
弱负
-0.0050
Answer 4-
弱阳性
0.0379
弱阳性
0.0682
弱负
-0.0043
弱负
-0.0298
弱阳性
0.0229
弱负
-0.0517
弱负
-0.0193
Answer 5-
弱负
-0.0062
弱阳性
0.0310
弱负
-0.0470
弱阳性
0.0153
弱阳性
0.0356
弱负
-0.0057
弱负
-0.0261
Answer 6-
弱负
-0.0152
弱阳性
0.0120
弱阳性
0.0424
弱负
-0.0106
弱负
-0.0039
弱负
-0.0109
弱负
-0.0142
Answer 7-
弱阳性
0.0386
弱阳性
0.0302
弱负
-0.0163
弱负
-0.0386
弱阳性
0.0102
弱负
-0.0091
弱阳性
0.0020
Answer 8-
弱负
-0.0154
弱阳性
0.0060
弱阳性
4.89E-5
弱负
-0.0583
弱负
-0.0290
弱阳性
0.0672
弱阳性
0.0354
Answer 9-
弱负
-0.0550
弱阳性
0.0299
弱阳性
0.0361
弱阳性
0.0629
弱负
-0.0502
弱负
-0.0129
弱负
-0.0192


出口到MS Excel
您自己的VUCA民意调查中可以使用此功能
好的


2023.12.09
Valerii Kosenko
产品所有者SaaS宠物项目SDTEST®

Valeri于1993年获得社会教育心理学家资格,并将其知识应用于项目管理。
Valeri于2013年获得硕士学位以及项目和项目经理资格。在硕士课程期间,他熟悉了项目路线图(GPM Deutsche Gesellschaft für Projektmanagement e.V.)和螺旋动力学。
Valeri参加了各种螺旋动力学测试,并利用他的知识和经验调整了当前版本的SDTEST。
Valeri在20多项国际民意调查中,利用螺旋动力学和心理学数理统计,探索了V.U.C.A.概念的不确定性。
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你好呀!让我问你,您已经熟悉螺旋动态吗?