Quantic Foundry

Is Conscientiousness really in "freefall" or is this a case of "reckless" data distortion? We'll unpack the psychometrics and charts to help you understand what both sides are getting wrong. quanticfoundry.com/2025/08/19/con…

We explore the systemic issues plaguing survey panels and new challenges as AI seeps into user/market research data sets: quanticfoundry.com/2025/06/17/pan… #uxresearch #gaming

In our analysis of survey data from over 1.5 million gamers collected over the past 9 years, we found that the decline in Strategy is the largest change among the 12 motivations in our Gamer Motivation Model. #gamedevelopment #UserExperience quanticfoundry.com/2024/05/21/str…

Gamers 35+ are about twice as likely as gamers 13-17 to rate Sci-Fi as "extremely" appealing as a thematic setting. Learn more about the profile of Sci-Fi fans in our new blog post. quanticfoundry.com/2023/11/07/sci… #gamedev #gamers

Learn about the gaming motivations of transgender and non-binary gamers, and the games that are particularly popular and unpopular among this cohort. quanticfoundry.com/2023/03/20/out… #gamer #gamedev

Find out how 1st-person vs. 3rd-person perspective preference varies across gender, age, and game genres in our analysis of data from 9,500+ gamers: quanticfoundry.com/2023/01/27/per… #gaming #gamedev #gamers

@Rynfear In our client work, we often ask gamers these questions for a specific genre context to get at granularity. But in a general profile app like this, there isn't an easy way to get into specific genres without repeating the questions over and over (and that creates its own issues).

@Rynfear Our expectations are context-dependent, but that doesn't mean stable traits don't exist. All of the following are likely true at the same time: 1) People tend to be quiet in libraries. 2) People tend to be loud at parties. 3) Some people are more introverted than others.

The Gamer Motivation Profile is now available in EN, DE, FR, ES, JA, PT-BR, ZH-HANS, and ZH-HANT. Take a 5-minute survey to get your Gamer Motivation Profile and see how you compare with other gamers: apps.quanticfoundry.com/surveys/start/… #gamers

@MikeTV_H8S_ME Just patched this. Thanks for letting us know!

@quanticfoundry Something wrong with your video game recommendation engine. Getting some sort of data error, but only occasionally. No results are being returned. It's weird.

@FiyreWyrkz FYI - you've tagged the wrong company :)

The BEST #GamingPersona episode EVER is available with our first guest - @Nick_Yee . We talk about of player motivation in #videogames, our origin stories, and how we choose the gender of our characters. #GamingPsych #MentalHealth #ContinueTheJourney podcasts.apple.com/us/podcast/mee…

Men are about 3 times more likely to prefer playing a female character than women prefer playing a male character. And older men are more likely to prefer playing female characters. quanticfoundry.com/2021/08/05/cha… #gamer #gamedev

Do you prefer the Technology faction or the Magic faction? The Light faction or the Dark faction? In our new survey findings, we look at how faction choice in video games creates cohorts with different demographic and motivation profiles. quanticfoundry.com/2021/03/04/fac… #gaming #gamer

Here's an example of what the gamer type output looks like in the profile report.

What gamer type are you? Try out the new Quantic Gamer Type feature in the Gamer Motivation Profile, based on data from over 500,000+ gamers: apps.quanticfoundry.com/surveys/start/… #gamers

If you already have an account with an existing motivation profile, you can log in and see your gamer type in your profile report: apps.quanticfoundry.com/accounts/login/

The 5 kinds of Civ VI gamers--a player segment analysis of Civ VI players based on gaming motivations: quanticfoundry.com/2020/09/03/civ… #gamedev #gaming

@ThisIsIWT @Nick_Yee You can find an overview of the 19 segments extracted in these GDC 2020 slides on page 28: quanticfoundry.com/gdc2020/

@quanticfoundry @Nick_Yee Read it, loved it! Thank you for posting! I am wondering what those 19 factor extractions look like compared to the 9 presented... I can think of a few communities / use cases that could absolutely capitalize on a finer parsing.

What distinct player types appear when we conduct a player segmentation based on gamer motivation? Here's the first of a 2-part blog post that recaps our GDC talk. quanticfoundry.com/2020/08/17/pla…