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 = 0.0538
ウィリアム・シーリー・ゴセット(学生)による正規分布 r = 0.0538
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
0.1219
弱いポジティブ
0.0358
弱いネガティブ
-0.0376
弱いネガティブ
-0.1090
弱いポジティブ
0.0527
弱いポジティブ
0.0143
弱いネガティブ
-0.0358
Answer 2-
弱いネガティブ
-0.0138
弱いネガティブ
-0.0402
弱いポジティブ
0.0020
弱いネガティブ
-0.0035
弱いネガティブ
-0.0256
弱いポジティブ
0.0006
弱いポジティブ
0.0656
Answer 3-
弱いポジティブ
0.0360
弱いネガティブ
-0.0136
弱いポジティブ
0.0184
弱いネガティブ
-0.0156
弱いポジティブ
0.0353
弱いネガティブ
-0.0528
弱いネガティブ
-0.0054
Answer 4-
弱いポジティブ
0.0384
弱いポジティブ
0.0676
弱いネガティブ
-0.0027
弱いネガティブ
-0.0325
弱いポジティブ
0.0225
弱いネガティブ
-0.0513
弱いネガティブ
-0.0190
Answer 5-
弱いネガティブ
-0.0065
弱いポジティブ
0.0405
弱いネガティブ
-0.0417
弱いポジティブ
0.0165
弱いポジティブ
0.0289
弱いネガティブ
-0.0110
弱いネガティブ
-0.0206
Answer 6-
弱いネガティブ
-0.0114
弱いポジティブ
0.0115
弱いポジティブ
0.0428
弱いネガティブ
-0.0107
弱いネガティブ
-0.0040
弱いネガティブ
-0.0106
弱いネガティブ
-0.0117
Answer 7-
弱いポジティブ
0.0360
弱いポジティブ
0.0367
弱いネガティブ
-0.0191
弱いネガティブ
-0.0371
弱いポジティブ
0.0097
弱いネガティブ
-0.0043
弱いネガティブ
-0.0072
Answer 8-
弱いネガティブ
-0.0154
弱いポジティブ
0.0049
弱いネガティブ
-0.0068
弱いネガティブ
-0.0546
弱いネガティブ
-0.0363
弱いポジティブ
0.0681
弱いポジティブ
0.0390
Answer 9-
弱いネガティブ
-0.0546
弱いポジティブ
0.0282
弱いポジティブ
0.0296
弱いポジティブ
0.0641
弱いネガティブ
-0.0446
弱いネガティブ
-0.0073
弱いネガティブ
-0.0230


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?