boek basearre test «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
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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.


Hannelingen fan bedriuwen yn relaasje ta personiel yn 'e lêste moanne (ja / nee)

Lân
Taal
-
Mail
Berekkenje
Critical wearde fan de korrelaasje koëffisjint
Normale ferdieling, troch William Sealy Gosset (Student) r = 0.0569
Normale ferdieling, troch William Sealy Gosset (Student) r = 0.0569
Net normale ferdieling, troch Spearman r = 0.0023
DistribúsjeNet
normaal
NormaalNormaalNormaalNormaalNormaalNormaalNormaal
Alle fragen
Alle fragen
Hokker aksjes binne nommen yn relaasje ta personiel yn 'e lêste moanne
Hokker aksjes binne nommen yn relaasje ta personiel yn 'e lêste moanne
Answer 1-
Swak posityf
0.1390
Swak posityf
0.0256
Swak negatyf
-0.0537
Swak negatyf
-0.1029
Swak posityf
0.0609
Swak posityf
0.0323
Swak negatyf
-0.0508
Answer 2-
Swak negatyf
-0.0254
Swak negatyf
-0.0633
Swak posityf
0.0050
Swak posityf
0.0071
Swak negatyf
-0.0241
Swak posityf
0.0064
Swak posityf
0.0706
Answer 3-
Swak posityf
0.0320
Swak posityf
0.0023
Swak posityf
0.0125
Swak negatyf
-0.0155
Swak posityf
0.0460
Swak negatyf
-0.0628
Swak negatyf
-0.0071
Answer 4-
Swak posityf
0.0404
Swak posityf
0.0650
Swak posityf
0.0027
Swak negatyf
-0.0167
Swak posityf
0.0220
Swak negatyf
-0.0530
Swak negatyf
-0.0340
Answer 5-
Swak negatyf
-0.0024
Swak posityf
0.0295
Swak negatyf
-0.0504
Swak posityf
0.0321
Swak posityf
0.0219
Swak negatyf
-0.0083
Swak negatyf
-0.0253
Answer 6-
Swak negatyf
-0.0168
Swak posityf
0.0169
Swak posityf
0.0524
Swak negatyf
-0.0081
Swak posityf
0.0005
Swak negatyf
-0.0194
Swak negatyf
-0.0249
Answer 7-
Swak posityf
0.0473
Swak posityf
0.0246
Swak negatyf
-0.0128
Swak negatyf
-0.0554
Swak posityf
0.0223
Swak negatyf
-0.0116
Swak posityf
0.0026
Answer 8-
Swak negatyf
-0.0047
Swak negatyf
-0.0095
Swak posityf
0.0002
Swak negatyf
-0.0500
Swak negatyf
-0.0247
Swak posityf
0.0618
Swak posityf
0.0308
Answer 9-
Swak negatyf
-0.0457
Swak posityf
0.0545
Swak posityf
0.0353
Swak posityf
0.0563
Swak negatyf
-0.0567
Swak negatyf
-0.0216
Swak negatyf
-0.0212


Eksportearje nei MS Excel
Dizze funksjonaliteit sil beskikber wêze yn jo eigen VUCA-fraach
Ok


2023.12.09
Valerii Kosenko
Produkt Eigner SAAS PET-projekt SDTest®

Valerii waard kwalifisearre as in sosjale pedagog-psycholooch yn 1993 en hat sûnt syn kennis tapast yn projektbehear.
Valerii krige yn 2013 fan in master en it projekt- en programma Manager, waard hy bekendheid, waard hy bekend mei projekt Roadmap foar projekt (GPM Deutsche Gesellsschaft foar Projekt-management E. V.) en spiraal dynamyk.
Valerii naam ferskate spiraal dynamyk tests en brûkte syn kennis en ûnderfining om de hjoeddeistige ferzje fan Sdtest oan te passen.
Valerii is de auteur fan it ferkennen fan 'e ûnwissichheid fan' e V.U.C.A. Konsept mei spiraal dynamyk en wiskundige statistiken yn psychology, mear dan 20 ynternasjonale fraachpetearen.
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