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It also seems that making a very successful game (with 3 tens for example) will influence how well someone trains. I had just made a 10/10/10/9 game in which one of my employees was 95% focused on Graphics. When I trained that employee in Design (using Rose Adidas Hoodie the Game Design Course from Teach and Learn), Design went up with precisely 100 points.

In first session, I trained Design or Tech, then Research, then Speed. Rose Adidas Sweatshirt

in the game. Most of the training options available are there to increase your employee's stats.

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increase, not a percentile one.

Average results were 55, 33, 32.

If you repeat a different (stat) training in quick succession, you will get smaller results from this attempt

´╗┐Game Dev Tycoon Wiki

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Please note that each stat training tier does have a cap on it. Increase beyond this cap is still possible but will be subject to severe diminishing returns.

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When in third office I had two training sessions, one after a long time spent without training, and another after making an AAA MMO Title (takes a bit less than a year I think). In both sessions I trained each employee 3 times using 30RP options. I recorded results for each employee and calculated averages across the board. By the way, training seems to be a flat Blue Adidas Pullover Hoodie

There are two kinds of training options Adidas Tracksuit Mens Red

In second session, I trained Research, then Design or Tech, then Speed. Average results were 46, 28, 30

From this experiment I can conclude that consequent training in different stats do not get progressively diminishing returns, instead all training sessions after first just provide slightly lower results (about 2/3 of the potential). It cannot be said for sure, but I suppose that an employee's "succeptibility" to training regenerates fully over a period of about a year, and since I trained for the second time sooner than a year, my second results were slightly lower across the board (55 vs 46 for first session, 33 vs 29 for consequent ones).

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If you repeat the same (stat) training in quick succession, you will get very small results from this attempt

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Also note that there is a diminishing returns system for training overall.

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