boek gebaseer toets «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.


Aksies van maatskappye in verhouding tot personeel die afgelope maand (ja / nee)

Land
Taal
-
Mail
Herbereken
Kritieke waarde van die korrelasiekoëffisiënt
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0531
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0531
Nie normale verspreiding, deur Spearman r = 0.0022
VerspreidingNie
normaal nie
NormaalNormaalNormaalNormaalNormaalNormaalNormaal
Alle vrae
Alle vrae
Watter aksies is die afgelope maand in verband met personeel gedoen
Watter aksies is die afgelope maand in verband met personeel gedoen
Answer 1-
Swak positief
0.1291
Swak positief
0.0333
Swak negatief
-0.0393
Swak negatief
-0.1017
Swak positief
0.0439
Swak positief
0.0205
Swak negatief
-0.0382
Answer 2-
Swak negatief
-0.0129
Swak negatief
-0.0361
Swak positief
0.0006
Swak negatief
-0.0064
Swak negatief
-0.0232
Swak negatief
-0.0015
Swak positief
0.0666
Answer 3-
Swak positief
0.0352
Swak negatief
-0.0101
Swak positief
0.0178
Swak negatief
-0.0129
Swak positief
0.0350
Swak negatief
-0.0508
Swak negatief
-0.0078
Answer 4-
Swak positief
0.0370
Swak positief
0.0664
Swak negatief
-0.0067
Swak negatief
-0.0315
Swak positief
0.0198
Swak negatief
-0.0455
Swak negatief
-0.0162
Answer 5-
Swak negatief
-0.0086
Swak positief
0.0389
Swak negatief
-0.0410
Swak positief
0.0145
Swak positief
0.0276
Swak negatief
-0.0146
Swak negatief
-0.0184
Answer 6-
Swak negatief
-0.0192
Swak positief
0.0034
Swak positief
0.0448
Swak negatief
-0.0078
Swak negatief
-0.0075
Swak negatief
-0.0031
Swak negatief
-0.0142
Answer 7-
Swak positief
0.0315
Swak positief
0.0366
Swak negatief
-0.0200
Swak negatief
-0.0380
Swak positief
0.0097
Swak negatief
-0.0073
Swak positief
0.0044
Answer 8-
Swak negatief
-0.0084
Swak negatief
-0.0009
Swak negatief
-0.0105
Swak negatief
-0.0449
Swak negatief
-0.0330
Swak positief
0.0623
Swak positief
0.0385
Answer 9-
Swak negatief
-0.0548
Swak positief
0.0314
Swak positief
0.0309
Swak positief
0.0654
Swak negatief
-0.0460
Swak negatief
-0.0084
Swak negatief
-0.0259


Uitvoer na MS Excel
Hierdie funksionaliteit sal beskikbaar wees in u eie VUCA-stembusse
Ok


2023.12.09
Valerii Kosenko
Produk Eienaar SaaS SDTEST®

Valerii is in 1993 as 'n sosiale pedagoog-sielkundige gekwalifiseer en het sedertdien sy kennis in projekbestuur toegepas.
Valerii het 'n Meestersgraad en die projek- en programbestuurderkwalifikasie verwerf in 2013. Tydens sy Meesterprogram het hy vertroud geraak met Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) en Spiral Dynamics.
Valerii is die skrywer van die verkenning van die onsekerheid van die V.U.C.A. konsep met behulp van Spiraaldinamika en wiskundige statistieke in sielkunde, en 38 internasionale peilings.
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