carte de test pe bază de «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Sponsori

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.


Acțiuni ale companiilor în raport cu personalul din ultima lună (da / nu)

Țară
Limba
-
Mail
Recalcula
Valoarea critică a coeficientului de corelație
Distribuție normală, de William Sealy Gosset (student) r = 0.0521
Distribuție normală, de William Sealy Gosset (student) r = 0.0521
Distribuție non -normală, de Spearman r = 0.0021
DistribuțieNon
normal
NormalNon
normal
NormalNormalNormalNormalNormal
Toate întrebările
Toate întrebările
Ce acțiuni au fost întreprinse în legătură cu personalul din ultima lună
Ce acțiuni au fost întreprinse în legătură cu personalul din ultima lună
Answer 1-
Slab pozitiv
0.1180
Slab pozitiv
0.0320
Negativ slab
-0.0369
Negativ slab
-0.1010
Slab pozitiv
0.0408
Slab pozitiv
0.0174
Negativ slab
-0.0303
Answer 2-
Negativ slab
-0.0047
Negativ slab
-0.0367
Negativ slab
-0.0023
Negativ slab
-0.0098
Negativ slab
-0.0105
Negativ slab
-0.0085
Slab pozitiv
0.0605
Answer 3-
Slab pozitiv
0.0299
Negativ slab
-0.0166
Slab pozitiv
0.0171
Negativ slab
-0.0176
Slab pozitiv
0.0349
Negativ slab
-0.0390
Negativ slab
-0.0068
Answer 4-
Slab pozitiv
0.0355
Slab pozitiv
0.0627
Negativ slab
-0.0088
Negativ slab
-0.0334
Slab pozitiv
0.0191
Negativ slab
-0.0399
Negativ slab
-0.0141
Answer 5-
Negativ slab
-0.0104
Slab pozitiv
0.0342
Negativ slab
-0.0400
Slab pozitiv
0.0159
Slab pozitiv
0.0260
Negativ slab
-0.0088
Negativ slab
-0.0138
Answer 6-
Negativ slab
-0.0210
Slab pozitiv
0.0016
Slab pozitiv
0.0422
Negativ slab
-0.0066
Negativ slab
-0.0046
Slab pozitiv
0.0077
Negativ slab
-0.0164
Answer 7-
Slab pozitiv
0.0262
Slab pozitiv
0.0377
Negativ slab
-0.0222
Negativ slab
-0.0357
Slab pozitiv
0.0061
Slab pozitiv
0.0007
Negativ slab
-0.0013
Answer 8-
Negativ slab
-0.0145
Slab pozitiv
0.0010
Negativ slab
-0.0123
Negativ slab
-0.0412
Negativ slab
-0.0362
Slab pozitiv
0.0658
Slab pozitiv
0.0333
Answer 9-
Negativ slab
-0.0540
Slab pozitiv
0.0360
Slab pozitiv
0.0332
Slab pozitiv
0.0668
Negativ slab
-0.0527
Negativ slab
-0.0106
Negativ slab
-0.0241


Export în MS Excel
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O.K


2023.12.09
Valerii Kosenko
Proprietar de produs SaaS SDTEST®

Valerii a fost calificat ca pedagog social-psiholog în 1993 și de atunci și-a aplicat cunoștințele în managementul proiectelor.
Valerii a obținut o diplomă de master și calificarea de manager de proiect și program în 2013. În timpul programului său de master, s-a familiarizat cu Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) și Spiral Dynamics.
Valerii este autorul explorării incertitudinii V.U.C.A. concept folosind Spiral Dynamics și statistici matematice în psihologie și 38 de sondaje internaționale.
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