책 기반 테스트 «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
스폰서

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.


지난 달 직원과 관련하여 회사의 행동 (예 / 아니오)

국가
언어
-
Mail
다시 계산하십시오
상관 계수의 임계 값
William Sealy Gosset (학생)의 정규 분포 r = 0.0538
William Sealy Gosset (학생)의 정규 분포 r = 0.0538
Spearman에 의한 비 정규 분포 r = 0.0022
분포
정상
정상정상정상정상정상정상정상
모든 질문
모든 질문
지난 달 직원과 관련하여 어떤 조치를 취했는지
지난 달 직원과 관련하여 어떤 조치를 취했는지
Answer 1-
약한 긍정적
0.1219
약한 긍정적
0.0358
약한 부정
-0.0376
약한 부정
-0.1090
약한 긍정적
0.0527
약한 긍정적
0.0143
약한 부정
-0.0358
Answer 2-
약한 부정
-0.0138
약한 부정
-0.0402
약한 긍정적
0.0020
약한 부정
-0.0035
약한 부정
-0.0256
약한 긍정적
0.0006
약한 긍정적
0.0656
Answer 3-
약한 긍정적
0.0360
약한 부정
-0.0136
약한 긍정적
0.0184
약한 부정
-0.0156
약한 긍정적
0.0353
약한 부정
-0.0528
약한 부정
-0.0054
Answer 4-
약한 긍정적
0.0384
약한 긍정적
0.0676
약한 부정
-0.0027
약한 부정
-0.0325
약한 긍정적
0.0225
약한 부정
-0.0513
약한 부정
-0.0190
Answer 5-
약한 부정
-0.0065
약한 긍정적
0.0405
약한 부정
-0.0417
약한 긍정적
0.0165
약한 긍정적
0.0289
약한 부정
-0.0110
약한 부정
-0.0206
Answer 6-
약한 부정
-0.0114
약한 긍정적
0.0115
약한 긍정적
0.0428
약한 부정
-0.0107
약한 부정
-0.0040
약한 부정
-0.0106
약한 부정
-0.0117
Answer 7-
약한 긍정적
0.0360
약한 긍정적
0.0367
약한 부정
-0.0191
약한 부정
-0.0371
약한 긍정적
0.0097
약한 부정
-0.0043
약한 부정
-0.0072
Answer 8-
약한 부정
-0.0154
약한 긍정적
0.0049
약한 부정
-0.0068
약한 부정
-0.0546
약한 부정
-0.0363
약한 긍정적
0.0681
약한 긍정적
0.0390
Answer 9-
약한 부정
-0.0546
약한 긍정적
0.0282
약한 긍정적
0.0296
약한 긍정적
0.0641
약한 부정
-0.0446
약한 부정
-0.0073
약한 부정
-0.0230


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2023.12.09
Valerii Kosenko
제품 소유자 SaaS SDTEST®

Valerii는 1993년에 사회 교육자-심리학자 자격을 취득한 이후 자신의 지식을 프로젝트 관리에 적용해 왔습니다.
Valerii는 2013년에 석사 학위와 프로젝트 및 프로그램 관리자 자격을 취득했습니다. 석사 과정 동안 그는 프로젝트 로드맵(GPM Deutsche Gesellschaft für Projektmanagement e. V.)과 Spiral Dynamics에 익숙해졌습니다.
Valerii는 V.U.C.A.의 불확실성을 탐구한 저자입니다. 나선형 역학과 심리학의 수학적 통계를 이용한 개념, 38개의 국제 여론 조사.
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