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 = 0.0541
Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 0.0541
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
0.1301
Dearfach lag
0.0400
Diúltach lag
-0.0470
Diúltach lag
-0.1056
Dearfach lag
0.0533
Dearfach lag
0.0165
Diúltach lag
-0.0373
Answer 2-
Diúltach lag
-0.0154
Diúltach lag
-0.0405
Dearfach lag
0.0047
Diúltach lag
-0.0033
Diúltach lag
-0.0243
Dearfach lag
0.0016
Dearfach lag
0.0631
Answer 3-
Dearfach lag
0.0401
Diúltach lag
-0.0108
Dearfach lag
0.0179
Diúltach lag
-0.0136
Dearfach lag
0.0351
Diúltach lag
-0.0568
Diúltach lag
-0.0051
Answer 4-
Dearfach lag
0.0384
Dearfach lag
0.0680
Diúltach lag
-0.0040
Diúltach lag
-0.0302
Dearfach lag
0.0225
Diúltach lag
-0.0512
Diúltach lag
-0.0194
Answer 5-
Diúltach lag
-0.0056
Dearfach lag
0.0309
Diúltach lag
-0.0467
Dearfach lag
0.0148
Dearfach lag
0.0351
Diúltach lag
-0.0053
Diúltach lag
-0.0261
Answer 6-
Diúltach lag
-0.0143
Dearfach lag
0.0118
Dearfach lag
0.0426
Diúltach lag
-0.0113
Diúltach lag
-0.0044
Diúltach lag
-0.0103
Diúltach lag
-0.0143
Answer 7-
Dearfach lag
0.0394
Dearfach lag
0.0301
Diúltach lag
-0.0159
Diúltach lag
-0.0392
Dearfach lag
0.0097
Diúltach lag
-0.0086
Dearfach lag
0.0020
Answer 8-
Diúltach lag
-0.0150
Dearfach lag
0.0060
Dearfach lag
0.0002
Diúltach lag
-0.0586
Diúltach lag
-0.0293
Dearfach lag
0.0673
Dearfach lag
0.0353
Answer 9-
Diúltach lag
-0.0565
Dearfach lag
0.0287
Dearfach lag
0.0336
Dearfach lag
0.0626
Diúltach lag
-0.0498
Diúltach lag
-0.0102
Diúltach lag
-0.0174


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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