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5 takeaways from the ThinkingData Summit: AI, drowning in data, and Habby’s secret sauce

March 11, 2026
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Going down throughout GDC week as we speak was the ThinkingData Summit, bringing collectively firms like Blizzard, Mavis Video games, Habby and others collectively to debate how information is being utilised in cellular gaming.
Audio system shared insights on information and AI by to sport design and business developments. We additionally obtained the possibility to interview Habby director of enterprise growth David Pann on stage through the present. 
Under we’ve put collectively a couple of key takeaways from the present.
1. Find out how to survive an period of fast change
The Considering Knowledge Summit opened with a chat from the agency’s co-founder Chris Han.
Setting the scene for the occasion, he posed the query he mentioned each firm is asking: how can we survive on this period the place every part modifications so quick? UA algorithms can change quickly, whereas rivals can launch new options in dwell video games that may depart your title behind. “The window to influence has by no means been shorter,” he mentioned.

Han mentioned in the case of utilising information for your online business, the actual worth is behind the info. “We’ve the wealthy information, however not the actionable steps, the actionable insights.”
He added groups like dwell ops and UA can usually be silo’d – which implies information may additionally be silo’d, too.
Han additionally said the chance for AI, which it’s now integrating into its merchandise. It goals to launch its first ever ThinkingEngine AI agent subsequent month, whereas it is plotting a multi-agent ecosystem by Might to June. It even has plans to rebrand the corporate to mirror its AI ambitions.
2. “Each crew is now drowning in information”
Blizzard senior director of product administration Chase Shi mentioned merging qualitative and quantitative information to form the product roadmap.
He famous that each crew is now drowning in information. It’s not about how a lot information a crew has, however how groups can interpret it.
He used an instance of the place the product, group and information groups may interpret participant information otherwise, asking how do you resolve who to hearken to? He confirmed the next chart to elucidate how extra time the info quantity goes up, however the resolution readability goes down:

Shi mentioned Blizzard places gamers into completely different motivational segments – akin to the Bartle taxonomy of participant sorts, however uniquely constructed round their very own video games. Builders can then map these gamers’ in-game behaviours.
“Don’t deal with your gamers solely as LTV tiers,” he mentioned. “Deal with them as motivational teams.”
He added: “It’s a must to perceive your gamers extra earlier than you learn the info.”
3. Agentic dwell ops to problem assumptions
Former AWS for Video games head of dwell service video games Tim Hong mentioned agentic dwell ops and the way builders may utilise AI tech. 
One perception Hong provided is how AI brokers can be utilized to problem assumptions made within the earlier lifespan of the sport that proceed to be thought of as true. For instance, an early perception may have been to not present greater than three adverts or over 5 at one time.

Hong mentioned the issue with these guidelines is that they’re in all probability directionally appropriate, however in all probability incorrect of their implementation years later.
“The fact is that at most studios, no person appears to be like again, no person audits that shit to say, oh, that’s the incorrect strategy. You’ll be able to implement an agent whose job it’s to mainly examine these issues.”
4. Does Habby care about hybridcasual?
We interviewed Habby’s director of enterprise growth David Pann on stage on the summit and mentioned how the corporate builds and runs profitable hybridcasual video games like Archero, Surivor.io, Capybara Go and others.
Requested how Habby defines hybridcasual – and if it even does, regardless of being a frontrunner within the area – Pann mentioned the crew doesn’t see itself as a hybricasual developer or writer, however as an alternative specializing in midcore.

“We’re additionally branching out into extra genres, as with plenty of firms. However the motive for that’s, hybridcasual has plenty of implications on long-term retention. In the meantime, for midcore we perceive that at all times has longtail retention.
“Now, the kind of midcore sport that Habby does isn’t a lot like 4X video games, the place you are speaking about tremendous insane mechanics that get folks within the sport, and those who churn, they’re gone, and those who keep, they are saying perpetually. However the level is, at Habby, we’re fascinated about constructing video games that hold gamers effectively past day 30, effectively into day 100, and past.”
Pann additionally revealed that the unique Archero had day one retention above 75%.
We’ll publish the total interview quickly.
5. Find out how to provide you with new sport concepts and confirm them
Mavis Video games CEO Saygin Topatan took to the stage to debate the inventive points of latest sport design, somewhat than simply specializing in the info.
Opening on the subject of copycats, Topatan mentioned from a enterprise perspective, it may possibly make sense. It’s simple for the crew to know what to do, a developer can reverse engineer an current sport, and there are much less selections to make. From that, they may get good metrics.
“However we all know most of those aren’t profitable as a result of they aren’t first available on the market,” he warned.
Nevertheless, Topatan claimed that it’s okay to repeat some elements. For instance, with a match-3 or a merge sport, groups can undertake some UX patterns and meta habits. However there ought to be one thing to offer the sport a core id, “one bizarre rule”, as he put it.
Giving only a take a look at instance to elucidate his idea, he described taking a match-3 sport like Sweet Crush Saga, and making matches in a T or L form. Whereas this may increasingly not really work available on the market, it’s an instance of how one change may utterly alter the expertise for gamers.

Topatan additionally provided insights on the way to discover creativity with out business-led selections and KPIs getting in the way in which through the ideation part. He mentioned typically groups can lookup the identical 5, 10 or 15 video games which might be profitable out there, which may result in selections like combining components of profitable video games and attempting to merge them, which could not work.
Topatan suggested that the thought era part ought to simply be for speaking about concepts, with out discussions round marketability and engagement. Then groups can transfer on to the modifying part and whether or not they should add or take away one thing. After that, they’ll get to the constructing stage, the place groups can discuss concerning the pipeline of the way to successfully construct a prototype with the sources they’ve.
If you happen to discuss concerning the constructing stage within the first part, it may possibly impede all of the creativity, he mentioned.



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Tags: Artificial intelligenceBlizzard EntertainmentdataDrowningGame DesignGDCGDC 2026Generative AIHabbyHabbysHybrid CasualMavis GamesMidcoreReality GamesSaucesecretSummittakeawaysThinkingData
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