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
0.1301
弱いポジティブ
0.0400
弱いネガティブ
-0.0470
弱いネガティブ
-0.1056
弱いポジティブ
0.0533
弱いポジティブ
0.0165
弱いネガティブ
-0.0373
Answer 2-
弱いネガティブ
-0.0154
弱いネガティブ
-0.0405
弱いポジティブ
0.0047
弱いネガティブ
-0.0033
弱いネガティブ
-0.0243
弱いポジティブ
0.0016
弱いポジティブ
0.0631
Answer 3-
弱いポジティブ
0.0401
弱いネガティブ
-0.0108
弱いポジティブ
0.0179
弱いネガティブ
-0.0136
弱いポジティブ
0.0351
弱いネガティブ
-0.0568
弱いネガティブ
-0.0051
Answer 4-
弱いポジティブ
0.0384
弱いポジティブ
0.0680
弱いネガティブ
-0.0040
弱いネガティブ
-0.0302
弱いポジティブ
0.0225
弱いネガティブ
-0.0512
弱いネガティブ
-0.0194
Answer 5-
弱いネガティブ
-0.0056
弱いポジティブ
0.0309
弱いネガティブ
-0.0467
弱いポジティブ
0.0148
弱いポジティブ
0.0351
弱いネガティブ
-0.0053
弱いネガティブ
-0.0261
Answer 6-
弱いネガティブ
-0.0143
弱いポジティブ
0.0118
弱いポジティブ
0.0426
弱いネガティブ
-0.0113
弱いネガティブ
-0.0044
弱いネガティブ
-0.0103
弱いネガティブ
-0.0143
Answer 7-
弱いポジティブ
0.0394
弱いポジティブ
0.0301
弱いネガティブ
-0.0159
弱いネガティブ
-0.0392
弱いポジティブ
0.0097
弱いネガティブ
-0.0086
弱いポジティブ
0.0020
Answer 8-
弱いネガティブ
-0.0150
弱いポジティブ
0.0060
弱いポジティブ
0.0002
弱いネガティブ
-0.0586
弱いネガティブ
-0.0293
弱いポジティブ
0.0673
弱いポジティブ
0.0353
Answer 9-
弱いネガティブ
-0.0565
弱いポジティブ
0.0287
弱いポジティブ
0.0336
弱いポジティブ
0.0626
弱いネガティブ
-0.0498
弱いネガティブ
-0.0102
弱いネガティブ
-0.0174


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 PetProjectSdtest®

Valeriiは、1993年に社会教育教師の心理学者としての資格があり、その後、プロジェクト管理に関する知識を適用しています。
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。修士課程のプログラムで、彼はプロジェクトロードマップ(GPM DeutscheGesellschaftFürProjektmanagemente。V。)とスパイラルダイナミクスに精通しました。
Valeriiはさまざまなスパイラルダイナミクステストを受け、彼の知識と経験を使用して、現在のバージョンのSDTestを適応させました。
Valeriiは、V.U.C.Aの不確実性を調査する著者です。精神学におけるスパイラルダイナミクスと数学統計を使用した概念、20を超える国際的な世論調査。
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