著書に基づくテスト «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
スポンサー

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.


先月の人事に関する企業の行動(はい /いいえ)

言語
-
Mail
再計算
相関係数の臨界値
ウィリアム・シーリー・ゴセット(学生)による正規分布 r = 0.0541
ウィリアム・シーリー・ゴセット(学生)による正規分布 r = 0.0541
スピアマンによる非正規分布 r = 0.0022
分布非正常普通普通普通普通普通普通普通
すべての質問
すべての質問
先月、スタッフに関連してどのような行動が取られたか
先月、スタッフに関連してどのような行動が取られたか
Answer 1-
弱いポジティブ
0.1264
弱いポジティブ
0.0389
弱いネガティブ
-0.0419
弱いネガティブ
-0.1115
弱いポジティブ
0.0569
弱いポジティブ
0.0128
弱いネガティブ
-0.0376
Answer 2-
弱いネガティブ
-0.0173
弱いネガティブ
-0.0394
弱いポジティブ
0.0014
弱いネガティブ
-0.0017
弱いネガティブ
-0.0254
弱いポジティブ
0.0032
弱いポジティブ
0.0637
Answer 3-
弱いポジティブ
0.0367
弱いネガティブ
-0.0132
弱いポジティブ
0.0176
弱いネガティブ
-0.0154
弱いポジティブ
0.0356
弱いネガティブ
-0.0534
弱いネガティブ
-0.0054
Answer 4-
弱いポジティブ
0.0391
弱いポジティブ
0.0685
弱いネガティブ
-0.0036
弱いネガティブ
-0.0324
弱いポジティブ
0.0227
弱いネガティブ
-0.0519
弱いネガティブ
-0.0191
Answer 5-
弱いネガティブ
-0.0072
弱いポジティブ
0.0329
弱いネガティブ
-0.0466
弱いポジティブ
0.0145
弱いポジティブ
0.0370
弱いネガティブ
-0.0038
弱いネガティブ
-0.0226
Answer 6-
弱いネガティブ
-0.0108
弱いポジティブ
0.0145
弱いポジティブ
0.0441
弱いネガティブ
-0.0112
弱いネガティブ
-0.0071
弱いネガティブ
-0.0093
弱いネガティブ
-0.0131
Answer 7-
弱いポジティブ
0.0382
弱いポジティブ
0.0327
弱いネガティブ
-0.0168
弱いネガティブ
-0.0405
弱いポジティブ
0.0078
弱いネガティブ
-0.0060
弱いネガティブ
-0.0014
Answer 8-
弱いネガティブ
-0.0166
弱いポジティブ
0.0088
弱いポジティブ
0.0001
弱いネガティブ
-0.0618
弱いネガティブ
-0.0311
弱いポジティブ
0.0669
弱いポジティブ
0.0338
Answer 9-
弱いネガティブ
-0.0533
弱いポジティブ
0.0260
弱いポジティブ
0.0340
弱いポジティブ
0.0632
弱いネガティブ
-0.0467
弱いネガティブ
-0.0118
弱いネガティブ
-0.0192


MS Excelへのエクスポート
この機能は、独自のVUCA投票で利用できるようになります
Ok


2023.12.09
Valerii Kosenko
プロダクトオーナー SaaS SDTEST®

ヴァレリーは 1993 年に社会教育心理学者の資格を取得し、それ以来その知識をプロジェクト管理に応用してきました。
Valerii は、2013 年に修士号とプロジェクトおよびプログラム マネージャーの資格を取得しました。修士課程中に、プロジェクト ロードマップ (GPM Deutsche Gesellschaft für Projektmanagement e. V.) とスパイラル ダイナミクスに精通しました。
Valerii は、V.U.C.A の不確実性を探求した本の著者です。スパイラルダイナミクスと心理学の数学的統計を使用したコンセプト、および 38 の国際世論調査。
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やあ!お聞きさせてください、あなたはすでにスパイラルダイナミクスに精通していますか?