Once upon a time I was interested in balancing the game I’m working on (Voluntarios) using excel sheets. Finding nothing I got to writing. And writing. And writing. The result was a series on in-game economics, of which this post is the next installment.
I recently had the chance to play the second T.I.M.E. Stories game: The Macy Case. I don’t want to go into the exact story (don’t worry, no spoilers!) but I do want to use T.I.M.E. Stories as an example that I think all board-game designers can learn from.
We played the game with quite a diverse group of people, going from hard-core gamers to people who will pick up a game if it doesn’t take too long. And they all loved it! After the first play they were all clamoring to go a second time (and then a third).
A game that can do this surely must have something to teach us?
What is T.I.M.E. Stories?
T.I.M.E. Stories is a cooperative board-game in which up to 4 players take on the role of a “temporal agent”, which get sent through time (and potentially even to a parallel universe) to “solve a mystery”. Before starting the game you have very little information on what the mystery is or how to solve it. During play you visit different locations to gather clues, objects and other characters. There are tests which you need to beat using the skills of your characters, which is done using die rolls.
We play a board game and at the end of it one person does a fist pump while the others hang their heads. One winner and multiple losers.
The difference can be one lousy point (on a total of two hundred) and still there is a watershed between glorious victory and humiliating defeat.
As a board game designer this fascinates me: Why is “the winner” so important?
No-winner game: Sim-City
There is a whole swath of computer “games” that can’t be won, with Sim-City being the first that comes to mind. I spent hours staring at my screen, trying to get enough money to be able to create more space for houses so that I could get more money…
Technically such a “game” would be better qualified as a “simulation”, but it’s not my intention to get into semantics here.
And though you can’t win Sim-City, I generally did have an idea of what I wanted to do: Get the biggest city. Or create a city without any pollution. Or see how quickly I could completely raze what I built up using tornados. What I wanted to do became my goal for that particular session. I wouldn’t “win” the game. But I could most certainly achieve something.