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How Scopely shares knowledge across its teams

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Using greater than 2,300 throughout a extremely profitable video games portfolio, Scopely has needed to construct up a system of information sharing inside the firm to make sure learnings don’t get misplaced. Or worse, that builders throughout the agency make the identical, avoidable errors.

Talking at Pocket Gamer Connects San Francisco, Scopely president of video games Steve Huff delved into the corporate’s ‘studying machine’ philosophy designed to assist its groups throughout its portfolio. The agency’s titles embrace the likes of Monopoly Go, Stumble Guys, Star Trek Fleet Command and Marvel Strike, amongst others.

Huff defined how Scopely makes use of classes and insights gained from every particular person studio to assist its groups refine gameplay, reside service methods and engagementment throughout its video games.

“There’s loads of issues we’ve realized over time which can be relevant to all groups,” mentioned Huff.

Management summits and conferences

He acknowledged that groups at Scopely are capable of prioritise their very own roadmaps and put money into areas they deem applicable. In his function, Huff typically steps in to level studios to different groups which have already carried out what they’re engaged on, with classes on the way it labored out, or why it didn’t.

Huff used the instance of 1 staff doubling down on buyer care, which he mentioned yielded “large outcomes”. These learnings had been shared with the remainder of the corporate, serving to enhance general participant satisfaction throughout its portfolio, he claimed.

One other approach Scopely goals to share data all through the agency is thru studying periods every month amongst GMs. It additionally hosts a summit for technical administrators to speak by essentially the most urgent points they’re attempting to resolve, whereas additionally usually encouraging data sharing by Slack.

“That simply facilitates a dialog amongst senior management,” he mentioned.

Huff added, nevertheless, that whereas data sharing is sweet, it doesn’t work until there’s a firm tradition taken with studying and sharing info.

“You may carry a horse to water, however you may’t make it drink.”



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