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Case Study
Automotive Conglomerate

Can a car’s ███-██ ████ better ████ drivers’ ████-█ ███ devices?

Challenge

It’s no secret among ██████ that there’s an █████ battle between a driver’s ██-██ ███ (aka ██ █████) and the ████-in ████ of █████ ███ itself. The odds are in ████ favor, as █████ can be improved ████ via ███-███-███ ███, whereas ██ are subject to far ███ ███████ ████. Not to mention, cars are ██████ subjected to intense ████ standards that ████ what ███ a car can and cannot █████.

Given these ████, how might ████ deploy a “██-█” ████ and ███ its ███-██ █████ █████ to be as ██ and ███████ as the latest ███████?

 

Approach

A ███ █████-long research-intensive including: ████ ████ interviews, ██████ Man-On-The-Street intercepts, ██-██ and ███-███ ████ ethnographies, and deep secondary research, yielded a sizable foundation of ██ ██ and ███ ███ to inform insights-driven ██-██ ████████ solutions. 

Several rounds of  █████ sessions generated █████ of ███ ████, later refined into working █████. To evaluate which ████ would proceed to ████ testing, we captured drivers' ███ █████ and invaluable ████ using a '███ ███████' ███ assessment technique.

 

Win

We surpassed the █████ number of viable ████ to put through ████ testing slated for ████.

Next — Soda Conglomerate