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 = 0.0538
Normale ferdieling, troch William Sealy Gosset (Student) r = 0.0538
Net normale ferdieling, troch Spearman r = 0.0022
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
0.1219
Swak posityf
0.0358
Swak negatyf
-0.0376
Swak negatyf
-0.1090
Swak posityf
0.0527
Swak posityf
0.0143
Swak negatyf
-0.0358
Answer 2-
Swak negatyf
-0.0138
Swak negatyf
-0.0402
Swak posityf
0.0020
Swak negatyf
-0.0035
Swak negatyf
-0.0256
Swak posityf
0.0006
Swak posityf
0.0656
Answer 3-
Swak posityf
0.0360
Swak negatyf
-0.0136
Swak posityf
0.0184
Swak negatyf
-0.0156
Swak posityf
0.0353
Swak negatyf
-0.0528
Swak negatyf
-0.0054
Answer 4-
Swak posityf
0.0384
Swak posityf
0.0676
Swak negatyf
-0.0027
Swak negatyf
-0.0325
Swak posityf
0.0225
Swak negatyf
-0.0513
Swak negatyf
-0.0190
Answer 5-
Swak negatyf
-0.0065
Swak posityf
0.0405
Swak negatyf
-0.0417
Swak posityf
0.0165
Swak posityf
0.0289
Swak negatyf
-0.0110
Swak negatyf
-0.0206
Answer 6-
Swak negatyf
-0.0114
Swak posityf
0.0115
Swak posityf
0.0428
Swak negatyf
-0.0107
Swak negatyf
-0.0040
Swak negatyf
-0.0106
Swak negatyf
-0.0117
Answer 7-
Swak posityf
0.0360
Swak posityf
0.0367
Swak negatyf
-0.0191
Swak negatyf
-0.0371
Swak posityf
0.0097
Swak negatyf
-0.0043
Swak negatyf
-0.0072
Answer 8-
Swak negatyf
-0.0154
Swak posityf
0.0049
Swak negatyf
-0.0068
Swak negatyf
-0.0546
Swak negatyf
-0.0363
Swak posityf
0.0681
Swak posityf
0.0390
Answer 9-
Swak negatyf
-0.0546
Swak posityf
0.0282
Swak posityf
0.0296
Swak posityf
0.0641
Swak negatyf
-0.0446
Swak negatyf
-0.0073
Swak negatyf
-0.0230


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


2023.12.09
Valerii Kosenko
Produkt Eigner SaaS SDTEST®

Valerii waard yn 1993 kwalifisearre as sosjaal pedagogysk psycholooch en hat syn kennis sûnt dy tiid tapast yn projektbehear.
Valerii helle in masterstitel en de kwalifikaasje projekt- en programmamanager yn 2013. Tidens syn masteroplieding kaam hy yn de kunde mei Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) en Spiral Dynamics.
Valerii is de skriuwer fan it ferkennen fan 'e ûnwissichheid fan' e V.U.C.A. konsept mei help fan Spiral Dynamics en wiskundige statistiken yn psychology, en 38 ynternasjonale polls.
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