Indorse
A recognizable corporate identity that adapts to each user’s individuality. Visit website ↗
Introduction
Indorse empowers people to learn and openly exchange both professional and social skillsets. It is a blockchain-based online platform that is secure, non-biased and free of charge. Its data security utilizes the new model of tokenization and, unlike other traditional platforms, Indorse has built a network that gives users full control over their data.
Challenge
Indorse approached Moby Digg with a challenge — create a recognizable corporate identity for the brand, but simultaneously emphasize each user's individual and unique personality.
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Approach
Moby Digg’s digital design team created a branding system constructed from basic shapes, inspired by the idea of personal growth and the will to embrace individuality. The result not only visualizes an abstraction of the abbreviated IND but also reflects the Indorse mentality that “each of us is unique, colorful and different as an individual”.
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Outcome
The corporate identity’s visual elements make up the foreground of Indorse promotional material. The logo and other shapes are used as a mask for photos of people. This presented the design team with the possibility to interlace geometric patterns with human elements and bring different personalities into focus. Their approach underlines that there is a real person behind each skillset. Indorse is a platform for individuals, their talent and the freedom to control the online representation of both.
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Wirkung
Die eigens für Indorse entwickelte Typografie betont das spielerische Wesen der Marke. Sie bricht mit Konventionen und ermutigt die Benutzer*innen, über den Tellerrand hinaus zu schauen und neue Dinge auszuprobieren. Das visuelle System ist auf die Darstellung von Benutzer*innen-Daten ausgelegt. Indem Moby Digg das visuelle System abstrakt hielt, verlieh es der Marke einen unverwechselbaren Look. Dennoch können bestimmte Grafiken zur Veranschaulichung komplexer Daten verwendet werden: Durch die Verwendung eines speziell entwickelten generativen Tools können die Benutzer*innen auf individuelle Muster zugreifen, die ihre Fähigkeiten widerspiegeln. Wenn Benutzer*innen weitere Fähigkeiten hinzufügen und diese validieren, verändern sich ihre Muster.
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