Welcome to this week's A Question of Gamification. Welcome to this show. My name is An Coppens. I'm the show host, and also the CEO of Gamification Nation, and I first of all have to apologise for my absence. We wanted to make this a weekly show and guess what happened? I lost my voice, so it's taken a while to get back on track, and it's still not 100%, but it's good enough so that I can record a new episode for the podcast. I missed talking to you, but I also was glad to let the body heal, and do what it needs to do to get better. This week's question of the week is an interesting one. It's one that we had to deal with recently, so how can you extract information out of learning teams that are useful for game designers, and then how do you use that information to make it into a game? So it's maybe a double edged question. So on one side, how do you get the information out of learning teams inside a corporate sector? And then how do you make sense of it so that it actually makes sense to make a game with? Recently we won a project and it very much involves a lot of game design around new content. So it's learning based games but around new content for the organization. And in order to get to a base level, we obviously need the organization to tell us what kind of topics they want to cover, what kind of subjects their people need to learn, et cetera. So that was sort of a given a baseline. So then we went looking and I said to my guys, I said, "Look, what would work well from our perspective is if we followed a very basic learning design model, which I learned way early in my training career, and it's called the KASH model, you see it for people talking about performance related training, et cetera." And typically it's used in the context of making training linked to actually translating it into day-to-day on the job work habits. So KASH stands for knowledge, attitudes, skills and habits. And the whole theory behind it from a learning thinking perspective is first of all you need knowledge. Then you need the attitude to want to learn and absorb that knowledge, and then the attitude to apply it and also practice the skills that relate to the same knowledge. Because knowledge without implementation might as well, I think there is a saying, not mine but somebody else's, that says to know and not to do is not to know. Something along those lines. In any case, I heard it several times in my career of training in the NLP sector, the Neuro-linguistics. So KASH, easy to understand, easy to remember, but also actually very useful from a game design perspective. Because when we're thinking about learning related games, the first thing that always comes up, oh we need to quiz. Now a quiz, whilst it has its purpose and it's really good and very effective, it's also one of the most overused game types for knowledge testing. The other way of spreading knowledge is to make people curious and to have hidden elements that you have to unlock or crack a code or solve a more difficult scenario in order to unlock the knowledge that they need to learn, the knowledge that they need to use for whatever new skill it is. So knowledge tests are easily translated into games, whether that is finding stuff, whether that is creative repurposing of let's say an arcade game or traditional games that you played when you were younger. Even simple games like Mario Runner, crosswords, different types of puzzles, they can all be made into knowledge related games and knowledge related tests, so to speak. Attitude is something not in a game and in a reality is something how you show up. Now from a game design perspective, that's really interesting. Your character can always have a positive and a negative side and depending on the circumstance it can choose to play either way. So if you're thinking in the role playing game style of game,