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Intro This is one part in a series of articles that will attempt to explain how I think when I design. The purpose of these articles is not as much to provide a hands-on practical approach – just to explain how I do things. Once I finish this series, I’ll focus on some more practical applications. (Link to Part 3) Important Points from Previous Articles The Big Principle: A game is fundamentally a conversation between the designer and the player. Principle #1: As a game designer, your job is to ask your players Questions. The players’ job is to answer those questions using the Tools you give them. Principle #2: When the designer creates a challenge to ask the player a Question, the designer must also create Tools for the player to answer it. Game mechanic: A game mechanic is the meeting point of two design ideas: a Question the designer asks the player, and the Tools the player has for answering that question. Choice Field: A collection of spectra all of which describe a single game mechanic. Spectrum: Any two opposing concepts which are the same in nature, but differ in degree. Dimension: A single spectrum inside a choice field. Last Time Last time we looked at a game mechanic that described one possible relationship between Enemy Placements and Weapons: Range vs Horizontal – Weapons that have good Range will solve Horizontal enemy placement problems (gaps), but not necessarily Vertical ones (ledges or cover). Directness vs Height – Indirect weapons are usually very good at solving Vertical enemy placement problems (cover, a ledge, flight). This Time I’m going to talk about the limitations of the choice field drawings I’ve been making – specifically that they do not represent complex relationships between game mechanics very well. I have some diagrams that are great for that, called Chen Diagrams, but I won’t get to those for a few weeks, when we start to talk about meta-game stuff. So for this article, I want to show you how spectra (a plurality of spectrums) relate within a choice field, and how one can view that data in different ways by opening little “windows,” or views into the field. Chromaticity diagram for the CIE 1931 xy. Because spectrum. It’s my hope that by the end of this article, a few of the concepts I’ve been working on for the last few articles should gel together and make sense as a whole. First off Before I can get into the meat of this article, I have to add one more spectrum to the choice field we’ve been building up since last article (the choice field describes a combat system similar to those found in Skylanders or Ratchet and Clank games): HP vs Damage – The player generally wants to use a high damage weapon to take out a high HP enemy. Conversely, the player wants to avoid getting hit by high-damage enemies but can afford to suffer several low damage hits. Note: I’m not describing specifics of our HP or damage systems here. For example, this could describe both a Halo-style “regenerating” health system or a Quake-style “hit-points and health pickups” system. It doesn’t really matter yet, though it will matter a lot later on. For this article we can safely avoid the topic. The important thing is that damage removes HP from players or enemies until they reach 0 HP, then their avatar dies. The Spectra, Unconnected So now we’ve built a rudimentary combat system out of six spectra. For a moment, let’s ignore how they link together dimensionally and just focus on them as separate things: These six spectra make up the combat choice field we’ve been constructing Each of these spectra reveals a potentially interesting aspect of the game’s design. Ideally we’d be able to combine all of these into a nice image that shows us all the extents of our choice field… but there’s a wrinkle. One of the limitations of the diagrams I’ve been using thus far is that drawing a four-dimensional choice field is not really a simple thing to do (just look at these hypercube illustrations as an example of how hard it is). Just adding on a single dimension as we did with 2 and 3 dimensional fields doesn’t work very well, as you see from this image that tries to display all the information we have about weapons: Figure A: This diagram may seem useful, but because directness and damage don’t overlap at all, the diagram is missing all four extremes dealing with both damage and directness. This gets even worse as you add more dimensions. Fortunately, this limitation doesn’t present too much of a problem, since you rarely need that much information at any given time. By regarding two or three of the spectra at a time, we can create “windows” or views into game mechanics that can give us a ton of information. For example, this is one possible view into weapons (notice it’s half of figure A, minus directness): The above diagram shows us eight of our possible weapon archetypes (one per dot). The most obviously useful info we get are the eight archetypal weapons we can create – but it gets better. The important thing I’m trying to show here is how the overlapping of all these spectra create new and interesting choice fields. Each choice field comes with a selection of archetypes (the dots), which represent the extremes of your system. Each weapon is made to answer a question, so by knowing the answer you also can know the question the weapon is built to counteract. This shows us our weapons and enemies are related opposites (Principle #2). By knowing eight possible weapon archetypes, we also know eight possible enemy archetypes. These archetypes don’t represent the full richness of our choice field since many things are missing, but eight weapons and eight enemies is a hell of a start in getting there. I don’t think I’ve ever created a combat game that needed more than four or five enemy archetypes at one time, and three axes tend to be more than enough to give ideas for interesting enemies or weapons. Usually you spread the full richness of your choice field out over the course of your game, so this one choice field view diagram gives you enough information to start creating enemies and weapons. If you create another view into the choice field, for example, to represent the other half of Figure A, it can look like this: Another view diagram that shows more of the weapon choice field — this time we get the missing info about directness. With this data, you can start to see some archetypal ways that weapons can interact with enemy placement (high, low, far, near). I talk a lot about these enemy/environment interactions in my GDC Talk on Skylanders (language warning). This gives you more than enough information to start designing combat setups and even more enemies because you know what tools you’re allowed to use to ask level-design questions in combat: flying enemies, enemies behind cover, enemies on ledges, enemies across gaps, etc. (Link to Part 5) *Note: This article is published with permission from the author, and in accordance with Creative Commons guidelines. Source: http://www.chaoticstupid.com/trinity-4-spectra/ Follow Mike Website: www.ongamedesign.net/ Website: http://www.chaoticstupid.com/ Twitter: twitter.com/MikeDodgerStout Follow Next Level Design Join the Forum: http://www.nextleveldesign.org/index.php?/register/ Follow us on Twitter: https://twitter.com/NextLevelDesig2 Discuss on Discord: https://t.co/hkxwVml0Dp
Intro This is one part in a series of articles that will attempt to explain how I think when I design. The purpose of these articles is not as much to provide a hands-on practical approach – just to explain how I do stuff. Once I finish this series, I’ll focus on some more practical applications of this stuff. (Link to Part 2) Important points from the last article The Big Principle: A game is fundamentally a conversation between the designer and the player. Principle #1: As a game designer, your job is to ask your players questions. The players’ job is to answer those questions using the tools you give them. Choice Field: A collection of spectrums all of which describe a single game mechanic. Spectrum: Any two opposing concepts which are the same in nature, but differ in degree. Binary choice: Any two opposing concepts that differ in nature, but are the same in degree. Dimension: An individual spectrum or binary choice within a choice field. Game Mechanics The focus of this article is going to be game mechanics, which I was pretty vague about last time. “Game mechanic” is a term I use a lot differently than some other people who write about game design. I tried to make up a new word, but it made reading and writing this impossible – so I’m going to stick with game mechanic. I’m not trying to say my way of using it is better or anything, just when you hear me say it – this is what I mean. First off, a definition: Game mechanic: A game mechanic is the meeting point of two design ideas: a Question the designer asks the player, and the Tools the player has for answering that question. Each game mechanic contains at least two choice fields – one for the Question and one for the Player Tool that answers it. wrenches… cuz game mechanics!! Another way of saying it is that the Question and the answering Player Tool are two sides of a coin, and the coin’s metal is made out of “game mechanic.” For example, let’s examine one of the game mechanics from the combat system in games like Skylanders: Spyro’s Adventure and Skylanders: Giants or Ratchet and Clank. There are several overlapping mechanics that all affect combat in these systems, but for this article I’m going to focus on just one so you can see how a mechanic’s two choice fields are related to each other Mechanic: Enemy Placement VS Weapons The game mechanic I’m describing here focuses mainly on the interaction between A) where enemies are placed in the game world in relation to other obstacles (Question) and B) the player’s weapons (Tools). Hopefully from this example you can see how both of these are two sides of the same coin – and how both inform each other. Question: Enemy Placement This question asks the player “how do you want to attack me.” By placing the enemy across, on, or behind obstacles – enemies gain an advantage that the player can overcome with good weapon choice. The choice field attached to this game mechanic looks like this: Spectrum #1: Horizontal (near/far) Spectrum #2: Vertical (low/high) Each dot in the diagram represents a type of terrain variance that is an example of the extremes we’ve built into this choice field Flat Terrain (low/close) – Control case. Everything is effective on a flat plane, given no other wrinkles. Horizontal Gap (low/far) – Blocks movement but not projectiles. Ranged enemies placed across gaps have an advantage the player will need tools to overcome. Vertical Ledge(high/close) – Enemies up on a ledge are hard to hit unless the player can get up on the ledge, or has tools to overcome that advantage. Line-of-fire-blocking Cover (high/far) – Blocks some projectiles and affects movement. Enemies placed behind cover are immune to horizontal attacks unless the player moves around it, or has a tool. Each of these represents a question the designer is asking – which requires that the designer give the player tools to handle it. Tools: Weapons In this example, I’m ignoring a number of spectra that exist in this combat system and focusing mainly on two: Range and Directness. Range is how far away the enemy can be from a player before a weapon gets useless. Directness is whether the shot travels directly at the target or takes another indirect route. The choice field attached to this game mechanic looks like this: Spectrum #1: Range (near/far) Spectrum #2: Directness (direct/indirect) Each dot in the diagram is a category of weapon we used in the design of Skylander characters. We chose the categories because they offered players a tool to solve the extremes of enemy placement questions. Note: If you’ve seen my Skylanders GDC talk (link), this might start to sound familiar. EXAMPLES: Close (Short/Direct) – Weapons that do damage very near to the player, like a knife or sword. These are good on a flat plane, or when close to an enemy behind cover. Weird (Short/Indirect) – These attacks usually affect large parts of the combat area with damage coming from nowhere in particular – like flaming skulls raining from the sky. Because this is obviously very powerful, we usually limit it with extra rules: e.g “You have to stand still to use it” would make it worse against close-range enemies. I’ll get into how that works, later in this article series, hopefully. Straight-ahead (Long/Direct) – Weapons that fire projectiles at range. The projectiles fly straight in the direction they’re fired until they hit a wall or a target. These fly over gaps, but are usually bad at hitting guys on ledges or behind cover. Lob (Long/Indirect) – Weapons that fire projectiles in an arc, or otherwise along a non-direct path. These are good for getting up on ledges or behind cover, but may arc over closer enemies. Principle #2: Put Them Both Together Together, these two choice fields make up a single mechanic from a combat system like those in Skylanders, Ratchet, or God of War. There are far more mechanics, which I hope to get into next time, but for now what I want you to see is how the two halves of a mechanic relate to each other. This leads us to Principle #2: When the designer creates a challenge to ask the player a Question, the designer must also create Tools for the player to answer it. The task of designing the one IS the task of designing the other. The player’s abilities and the challenges you create to test those abilities are two sides of the same coin. “Game Mechanic” is the term I’m using to show how the two combine to become basically the same thing. It is possible to design each half of the coin separately, and I hope to explain how to split things up like that later in the series, but for now I just want you to know that it’s pretty difficult if you aren’t careful. (Link to Part 4 - To be Updated) *Note: This article is published with permission from the author, and in accordance with Creative Commons guidelines. Source: http://www.chaoticstupid.com/trinity-part-3-game-mechanics/ Follow Mike Website: www.ongamedesign.net/ Website: http://www.chaoticstupid.com/ Twitter: twitter.com/MikeDodgerStout Follow Next Level Design Join the Forum: http://www.nextleveldesign.org/index.php?/register/ Follow us on Twitter: https://twitter.com/NextLevelDesig2 Discuss on Discord: https://t.co/hkxwVml0Dp
Intro This is a part of a series of articles that will attempt to explain how I think when I design – my system, in a way. I’ve somewhat arbitrarily nicknamed it Trinity, and hopefully by the end of the series I’ll be able to explain why I picked that name. The purpose of these articles is not to create a formula, to create a rigid system, or even to suggest that my system is better than another. The whole purpose is just to try to explain, in writing, how I think when I design games. (Link to Part 1) Important points from the last article In the previous article, we went over two important principles: The Big Principle: A game is fundamentally a conversation between the designer and the player. Principle #1: As a game designer, your job is to ask your players questions. The players’ job is to answer those questions using the tools you give them. A Disclaimer At the end of the previous article, I mentioned a concept I call “choice fields.” In this article, I’m going to attempt to explain these to you, but I have to say this first: The subject is really complex, and I’m probably not going to be able to explain every facet in one article. A “Choice” Field. Get it? Eh? Eh? Why do I bother? “Emergence” In order to understand what a Choice Field is for, first I need to explain a decade-old concept: Emergence. In 2002-ish, after Grand Theft Auto 3 (GTA3), the most popular buzzword in the video game business was “emergence,” often in the context of “emergent gameplay.” The term was coined mainly to describe the kind of open-world, “sandbox-y” gameplay that GTA3 was the first to really do well. The term got its name from the way brand new gameplay objectives seemed to “emerge” from the overlapping of small sets of rules and abilities. Play styles that are not part of the game objectives seemed to come out of nowhere, and players found themselves spending tons of time creating goals in the game world for themselves and spending more time doing those than actually finishing the critical path missions. Choice Fields In thinking about how to design Emergence into a game, we can’t think about what kinds of things we “want” to emerge (because then we’re just designing them into the game). Instead, we need to think about how to create the overlapping sets of rules and abilities (questions and answers) that create the environment from which emergence springs. That overlapping set of rules and abilities is what I refer to as a Choice Field. More specifically, though: Choice fields are a collection of spectrums all of which describe a single game mechanic. Game Mechanics Basically a game mechanic is any arbitrary set of “things” in your game. If you can imagine being assigned to work on a thing by your boss, it’s probably a game mechanic. I’m using the term “Game Mechanic” here in an odd way on purpose – since I’m not really looking to get too specific in to what’s inside a game mechanic yet. Example Game Mechanics: An enemy, the player, the level design, the metagame design, the vehicle system… You’ll notice that mechanics can contain other mechanics. This is cool. I really just need a word so I don’t have to keep typing “that thing the choice fields are connected to” over and over again. Spectrums “Spectrum” here refers to any two “opposite” concepts which are the same in nature, but differ in degree. For example, long and short are both measurements of “range” (their nature) but completely opposite in degree. Examples of spectrums: High / Low (Health) Long / Short (Range) Cheap / Expensive (Cost) Fast / Slow (Speed) I want to differentiate spectrums from “binary choices.” Binary choices are two opposites that differ in nature, but are the same in degree. Examples of binary choices (generally avoid these in Choice Fields) Left/Right Yes/No Right/Wrong Binary choices are less useful than spectrums and produce much more limited results. You only get all of one or all of the other. They do not define a spectrum, but rather a fork. When working with Choice Fields, binary choices are useful in certain rare situations, but should generally be avoided. “Dimensions” Each individual set of spectrums in a choice field is called a “dimension.” Choice fields can have any number of dimensions, but they generally have between one and three. I’m not even going to try to explain this without pictures, so I’m going to go through examples of the first three dimensions below, and hope you get the idea. Choice Field Examples 1-Dimensional Choice Fields The simplest choice field is a “one-dimensional” field. Basically it means it only contains a single spectrum or a single binary choice. (This is one exception to the “no binary choice” rule of thumb I mentioned above.) As an example, let’s take the mechanic “Enemy” and the mechanic “Player” and attach a single binary choice to each one: Game Mechanic: Enemy Binary Choice: Alive or Dead Game Mechanic: Player Binary Choice: Alive or Dead Let’s pretend these two resultant choice fields are the only ones in the whole game: An Enemy that kills a Player in one hit, and a Player that can kill an Enemy in one hit. The game designer is asking the question: “Do you want to attack this enemy or not?” The Player has an ability that allows it to kill an enemy. Note: This doesn’t get much more interesting if you substitute spectrums for the binary choices. 2-Dimensional Choice Fields One-dimensional choice fields aren’t super interesting most of the time, so you don’t see them used a lot. More often you’ll see two-dimensional Choice Fields. In a two-dimensional choice field, you take two spectrums and splice them together. This is much easier to see than to describe. Using the same example as above, you end up with a choice field that looks something like this: Game Mechanic: Enemy Spectrum #1: Min HP to Max HP Spectrum #2: Min Damage to Max Damage A Two-Dimensional Choice Field representing an Enemy game mechanic Each dot on the diagram represents an Enemy that is an example of the extremes we’ve built into this Choice Field. Max HP, Min Damage – “Defender” Max HP, Max Damage – “Heavy” Min HP, Max Damage – “Attacker” Min HP, Min Damage – “Swarmer” The designer is now asking the question, “Which of these Enemies do you want to attack first,” and the Player must be supplied with abilities (Weapons) to deal with all four Enemies created by this diagram. The choice field for the player’s Weapon mechanic might look something like this: Adding ammo allows us to differentiate our weapons from each other Each dot on the diagram represents a Weapon that is an example of the extremes we’ve built into this Choice Field Game Mechanic: Weapon Spectrum #1: Min Ammo to Max Ammo Spectrum #2: Min Damage to Max Damage EXAMPLES: (Ammo is represented in these examples as “breakability” – number of times it can be used before it breaks) Max Ammo, Min Damage – “Whiffleball Bat” Max Ammo, Max Damage – “Sword” Min Ammo, Max Damage – “Chainsaw” Min Ammo, Min Damage – “Fragile Stick” So if we assume these two Choice Fields are the only ones in the game, our game now looks like this: We have four Enemies, each of which has different health and damage values. The player has access to four Weapons (A, B, C, and D), each of which has different damage and ammunition values. The player will want to use a high-damage weapon to kill a high-hit point enemy and vice-versa. The addition of the ammunition spectrum makes sure that you can’t use every weapon all the time, and keeps them in balance with the Enemy choice field. You can see how the Enemy and the Player develop their choice fields in parallel. This is done deliberately. You can start with either, but they are both dependent on each other. 3-Dimensional Choice Fields There are a lot of times where a two-dimensional choice field is exactly what you want (I’ll hopefully get into that in later articles), but often you’ll want things to be a bit deeper. I’m imagining that most of you read the description of the game assembled in the previous section and thought something was missing, or felt imbalanced. What was missing is a third dimension. I’ll get right into examples. Let’s take the Enemy mechanic from the previous example and add another dimension to it: Range. Game Mechanic: Enemy Spectrum #1: Min HP to Max HP Spectrum #2: Min Damage to Max Damage Spectrum #3: Min Range to Max Range When you add range, things get more interesting You can see that adding this one dimension once again doubled the number of dots in the diagram. As before, each dot is an example of the extremes we’ve built into this Choice Field. We get four new Enemies out of this (A, B, C, and D) which are the same as the enemies from our two-dimensional example but with the ability to strike at range: Max HP, Min Damage – “Defender” Max HP, Max Damage – “Heavy” Min HP, Max Damage – “Attacker” Min HP, Min Damage – “Swarmer” Again the game would be asking, “Which enemy do you want to attack?” The player would need the ability to deal with Enemies at range, so now there are four more possible weapons in our Weapons mechanic, each capable of striking at range: Max Ammo, Min Damage – “Shotgun” Max Ammo, Max Damage – “Gatling Gun” Min Ammo, Max Damage – “Sniper Rifle Min Ammo, Min Damage – “Pistol” You can see how adding just that one dimension to each of our Choice Fields immediately enriched the available options we have for designing challenges for the player. Caveat Just because there’s a dot in a diagram above, doesn’t mean it’s a good idea to use it. I’ve found the sweet spot is to make a three-dimensional choice field, like examples above, and only use 3-4 of the 8 dots in it at a time (e.g. 3 enemy types per level). You get lots of variety without overwhelming the player with complexity. I’ll explain more in later parts of this series, how I choose which “dots” to keep for a given section of a game. (Link to Part 3) *Note: This article is published with permission from the author, and in accordance with Creative Commons guidelines. Source: http://www.chaoticstupid.com/trinity-part-2-choice-fields/ Follow Mike Website: www.ongamedesign.net/ Website: http://www.chaoticstupid.com/ Twitter: twitter.com/MikeDodgerStout Follow Next Level Design Join the Forum: http://www.nextleveldesign.org/index.php?/register/ Follow us on Twitter: https://twitter.com/NextLevelDesig2 Discuss on Discord: https://t.co/hkxwVml0Dp
Intro This is the first of a series of blog posts which will try to convey my overall design methodology, which I’ve nicknamed Trinity for now. It’s a big task, and I’m not sure how many posts it will take to get there – we’ll have to see as we go. There are two ways I could write this: I could start big and zoom in, or start small and zoom out. If I start big, I start in the realm of abstract principles and, over the course of the series, drill down to show how those principles are applied in practice. The other way (which is the way I’m going to write it) is to start with specifics and, by the time the series is finished, show how all the specifics are just applications of a few generic principles. I like the second way best because I don’t like having arguments, and generic principles are argument magnets. Arguments are hard to avoid without a huge amount of preamble – and so I will start with the preamble and move on over time to the “amble”. The kinds of games I’m discussing There is one overarching principle, though, that I have to state at the beginning. These posts will all grow out of the idea that “a game is fundamentally a conversation between a game’s designer and the game’s players.” I state this not because I believe that is the One True Definition™ of games, or because I think that is the only way a game can be made – but because I am limiting the scope of this series to games which are that way. I’m sure someone can come along and make a great game that doesn’t meet these criteria – and that’s cool. What I’m going to talk about in these articles might even apply to that game, but I have no idea if it will. All the games I’ve ever made or played fit this definition, as far as I’m concerned, so just know all that going into this and take everything with a grain of salt. I hope to demonstrate how it is true at some point, but until then just keep this in your mind as you read the rest of this series and try to see how it applies: A game is fundamentally a conversation between designers and players. Principle #1: Games ask questions, Players answer them Trinity all begins with what I’m calling Principle #1 (not because it’s most important or anything, but because I happened to write it first). As a game designer, your job (in a very practical sense) is asking the players questions. The players’ job is to answer those questions using the tools you give them. I think this is what legendary Game Designer Sid Meier meant when he said that games were a series of interesting choices, only I want you to see it from a slightly different angle: Instead of focusing on the choices, I want to focus on the questions the game asks that cause players to make the choices. It may seem like a small difference, but focusing on choices has a number of knock-on effects. Sid Meier's Civilization IV Focusing on Choices Before I talk about questions, let me give you a couple examples of what I mean by “focusing on choices.” Hopefully this will give you an idea of the knock-on effects I’m trying to avoid by phrasing Principle #1 (designers ask questions and give players tools to answer them) this way. Normally when I see designers approach mechanic design by designing a series of interesting choices, I see something like this: “Do you want to go left, or go right?” The designer here wants players to make choices about their path through a level – ideally choices that result in varied gameplay. Imagine a linear level that forks off two ways, and you have to choose one. Or you’re given dialogue choices between good and evil, etc. There’s nothing really wrong with doing it this way, but I find the results end up being expensive to make, and the player only sees half of the game this way. Even worse, I’ll sometimes see things like this: “Do you want to do it the right way or the wrong way?” Imagine an enemy that can be damaged by two different attacks. Attack A does more damage to the enemy than Attack B. Sure, the player can “choose” between them, but only one is correct – so it’s not really a choice, it’s just rope to hang the player with. There are many other pitfalls I see all the time because a designer focuses more on the choice than on the reason the choice is there in the first place. Focusing on Questions & Answers (AKA Game Mechanics) Think of it this way: The game presents a problem, the player uses a countermeasure. Our job is to design both the problem (question) and the countermeasure (answer) that solves it. You can start with either, but eventually you’ll need to design both. Before I close this first post, I want to walk you through what it’s like to design this way. It’ll become more obvious as the series goes on, but this should give you enough context to make it through to the next post. Let’s take the same problem of the multi-vulnerable enemy I mentioned above. We want the players to have choices in dealing with this enemy, so the enemy needs to ask a question that prompts each answer. The easiest, most used form of this is the enemy with vulnerability states (e.g. When the enemy turns red, Attack A is most effective. When the enemy turns blue, Attack B is most effective). This is very common, but there are other answers too. For example, the enemy could ask a single question, but the best attack to use against it at any given time is based on the context the enemy exists in. Let’s say you have a 1 HP 1 Damage enemy called “Bob” which stands still and shoots at the player. The player has three attacks: One shoots bullets straight ahead (Magic Missile), one does damage over time to everything in a short cone (Cold Spray), and one lobs a projectile into the air that explodes on landing (Fireball). The attacks may have other differences, but for now let’s just consider the range. If the player encounters Bob on a flat plane, any of the three attacks are a good answer. If Bob is behind cover, though, Magic Missile and Cold Spray are useless unless you run around and get a new angle. Fireball, though, could arc over the cover so it’s the best option. If Bob is up on a ledge, the player could aim and shoot with Magic Missile, or try to jump and lob a fireball. If there are two Bobs close together, Cold Spray and Fireball will hit both of them, but Magic Missile will only hit one. The enemy is still asking one question “what’s the best way to attack me” but now we’ve added a meta-question: “Given the terrain, what’s the best way to attack me?” You keep stacking questions and meta-questions on top of each other until your game feels like the player has enough choices in every circumstance. A few things to notice: The goal isn’t to create individual choices, but rather to create a “choice field” (or “design space,” as I’ve heard it called). I’m going to go into these more later, just keep them in mind. The questions and answers can all be very simple. When layered together with other questions (like those asked by a level design’s gaps, ledges, and cover), new answers begin to emerge based on context. I started this example with the attacks and questions already decided to make Principle #1 more clear, but usually you have to decide on these things yourself. In later posts I’ll try to illustrate how I come to decisions like that (it’s complicated) but just remember that the foundation of it all will rest on Principle #1 (designers ask questions and give players tools to answer them). (Link to Part 2) *Note: This article is published with permission from the author, and in accordance with Creative Commons guidelines. Source: http://www.chaoticstupid.com/trinity-a-game-design-methodology-part-1/ Follow Mike Website: www.ongamedesign.net/ Website: http://www.chaoticstupid.com/ Twitter: twitter.com/MikeDodgerStout Follow Next Level Design Join the Forum: http://www.nextleveldesign.org/index.php?/register/ Follow us on Twitter: https://twitter.com/NextLevelDesig2 Discuss on Discord: https://t.co/hkxwVml0D