tástáil bhunaithe leabhair «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Urraitheoirí

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.


Gníomhartha cuideachtaí maidir le pearsanra le mí anuas (tá / níl)

Tír
Teanga
-
Mail
Athchúrsáil
Luach criticiúil an chomhéifeacht comhghaoil
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0542
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0542
Dáileadh Neamh -Ghnáth, le Spearman r = 0.0022
ImdháileadhNeamhghnáchGnáth-Gnáth-Gnáth-Gnáth-Gnáth-Gnáth-Gnáth-
Gach ceist
Gach ceist
Cad iad na gníomhartha a rinneadh maidir leis an bhfoireann le mí anuas
Cad iad na gníomhartha a rinneadh maidir leis an bhfoireann le mí anuas
Answer 1-
Dearfach lag
0.1261
Dearfach lag
0.0390
Diúltach lag
-0.0430
Diúltach lag
-0.1108
Dearfach lag
0.0570
Dearfach lag
0.0126
Diúltach lag
-0.0371
Answer 2-
Diúltach lag
-0.0173
Diúltach lag
-0.0407
Dearfach lag
0.0046
Diúltach lag
-0.0037
Diúltach lag
-0.0251
Dearfach lag
0.0051
Dearfach lag
0.0620
Answer 3-
Dearfach lag
0.0364
Diúltach lag
-0.0133
Dearfach lag
0.0169
Diúltach lag
-0.0147
Dearfach lag
0.0356
Diúltach lag
-0.0538
Diúltach lag
-0.0051
Answer 4-
Dearfach lag
0.0388
Dearfach lag
0.0687
Diúltach lag
-0.0044
Diúltach lag
-0.0317
Dearfach lag
0.0227
Diúltach lag
-0.0523
Diúltach lag
-0.0188
Answer 5-
Diúltach lag
-0.0075
Dearfach lag
0.0330
Diúltach lag
-0.0475
Dearfach lag
0.0152
Dearfach lag
0.0370
Diúltach lag
-0.0041
Diúltach lag
-0.0223
Answer 6-
Diúltach lag
-0.0113
Dearfach lag
0.0145
Dearfach lag
0.0431
Diúltach lag
-0.0102
Diúltach lag
-0.0071
Diúltach lag
-0.0097
Diúltach lag
-0.0126
Answer 7-
Dearfach lag
0.0378
Dearfach lag
0.0328
Diúltach lag
-0.0178
Diúltach lag
-0.0395
Dearfach lag
0.0079
Diúltach lag
-0.0064
Diúltach lag
-0.0009
Answer 8-
Diúltach lag
-0.0169
Dearfach lag
0.0088
Diúltach lag
-0.0003
Diúltach lag
-0.0613
Diúltach lag
-0.0311
Dearfach lag
0.0671
Dearfach lag
0.0342
Answer 9-
Diúltach lag
-0.0526
Dearfach lag
0.0274
Dearfach lag
0.0323
Dearfach lag
0.0639
Diúltach lag
-0.0473
Diúltach lag
-0.0134
Diúltach lag
-0.0178


Easpórtáil go MS Excel
Beidh an fheidhmiúlacht seo ar fáil i do vótaíochtaí VUCA féin
Go maith


2023.12.09
Valerii Kosenko
Úinéir an Táirge SaaS Pet Project Sdtest®

Bhí Valerii cáilithe mar shíceolaí oideolaíoch sóisialta i 1993 agus ó shin i leith chuir sé a chuid eolais i bhfeidhm i mbainistíocht tionscadail.
Fuair ​​Valerii céim mháistreachta agus cáilíocht an tionscadail agus an bhainisteora cláir in 2013. Le linn a chláir mháistir, bhí sé eolach ar threochlár Project (GPM Deutsche Gesellschaft Für Projektmanagement e. V.) agus dinimic Spiral.
Ghlac Valerii tástálacha éagsúla dinimic bíseach agus d'úsáid sé a chuid eolais agus taithí chun an leagan reatha de SDTest a oiriúnú.
Is é Valerii údar iniúchadh a dhéanamh ar neamhchinnteacht an V.U.C.A. Coincheap ag baint úsáide as dinimic bíseach agus staitisticí matamaiticiúla i síceolaíocht, níos mó ná 20 vótaíocht idirnáisiúnta.
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