Här skalar vi bort det överflödiga för att ta oss tillbaka till kvalitetens kärna: människors omdöme, språk, lärande, tillit och syfte.
Jakten på kvalitetens kärna del 2: Kvalitet när det överflödiga försvinner
Kärnan Kvalitet beskrivs ofta genom standarder, modeller och mätetal. De skapar struktur, men riskerar också att lägga lager på lager runt det som faktiskt skapar kvalitet. Kvalitetsmagasinet fortsätter här en jakt på kvalitetens kärna i del 2.

Foto: Adobe Stock
Någonting är fel
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För ytterst handlar kvalitet inte om att göra rätt enligt modellen, utan om att göra rätt saker bättre – för dem som faktiskt berörs.
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


