bog baseret 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.


Virksomheders handlinger i relation til personale i den sidste måned (ja / nej)

Land
Sprog
-
Mail
Beregner igen
Kritisk værdi af korrelationskoefficienten
Normal distribution af William Sealy Gosset (studerende) r = 0.0521
Normal distribution af William Sealy Gosset (studerende) r = 0.0521
Ikke normal distribution af Spearman r = 0.0021
FordelingIkke
normal
NormalIkke
normal
NormalNormalNormalNormalNormal
Alle spørgsmål
Alle spørgsmål
Hvilke handlinger er blevet truffet i forhold til personalet i den sidste måned
Hvilke handlinger er blevet truffet i forhold til personalet i den sidste måned
Answer 1-
Svag positiv
0.1213
Svag positiv
0.0327
Svag negativ
-0.0412
Svag negativ
-0.0965
Svag positiv
0.0377
Svag positiv
0.0201
Svag negativ
-0.0309
Answer 2-
Svag negativ
-0.0030
Svag negativ
-0.0350
Svag negativ
-0.0032
Svag negativ
-0.0111
Svag negativ
-0.0091
Svag negativ
-0.0085
Svag positiv
0.0606
Answer 3-
Svag positiv
0.0334
Svag negativ
-0.0146
Svag positiv
0.0181
Svag negativ
-0.0163
Svag positiv
0.0350
Svag negativ
-0.0423
Svag negativ
-0.0072
Answer 4-
Svag positiv
0.0349
Svag positiv
0.0613
Svag negativ
-0.0090
Svag negativ
-0.0315
Svag positiv
0.0194
Svag negativ
-0.0392
Svag negativ
-0.0148
Answer 5-
Svag negativ
-0.0090
Svag positiv
0.0321
Svag negativ
-0.0391
Svag positiv
0.0154
Svag positiv
0.0250
Svag negativ
-0.0101
Svag negativ
-0.0175
Answer 6-
Svag negativ
-0.0243
Svag negativ
-0.0016
Svag positiv
0.0424
Svag negativ
-0.0073
Svag negativ
-0.0022
Svag positiv
0.0064
Svag negativ
-0.0187
Answer 7-
Svag positiv
0.0271
Svag positiv
0.0351
Svag negativ
-0.0204
Svag negativ
-0.0346
Svag positiv
0.0090
Svag negativ
-0.0018
Svag positiv
0.0009
Answer 8-
Svag negativ
-0.0126
Svag negativ
-0.0018
Svag negativ
-0.0118
Svag negativ
-0.0379
Svag negativ
-0.0342
Svag positiv
0.0655
Svag positiv
0.0338
Answer 9-
Svag negativ
-0.0569
Svag positiv
0.0362
Svag positiv
0.0356
Svag positiv
0.0668
Svag negativ
-0.0571
Svag negativ
-0.0105
Svag negativ
-0.0216


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Denne funktionalitet vil være tilgængelig i dine egne VUCA-afstemninger
Okay


2023.12.09
Valerii Kosenko
Produktejer SaaS SDTEST®

Valerii blev uddannet socialpædagog-psykolog i 1993 og har siden anvendt sin viden i projektledelse.
Valerii opnåede en kandidatgrad og projekt- og programlederkvalifikationen i 2013. I løbet af sin kandidatuddannelse blev han fortrolig med Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) og Spiral Dynamics.
Valerii er forfatteren til at udforske usikkerheden i V.U.C.A. koncept ved hjælp af Spiral Dynamics og matematisk statistik i psykologi, og 38 internationale meningsmålinger.
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Hej! Lad mig spørge dig, kender du allerede spiraldynamikken?