The Rise and Fall of Pokémon Go Name: Back in the day, people played a little game called Pokémon Go. Over 50 million pe

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The Rise And Fall Of Pokemon Go Name Back In The Day People Played A Little Game Called Pokemon Go Over 50 Million Pe 1 (60.22 KiB) Viewed 40 times

The Rise And Fall Of Pokemon Go Name Back In The Day People Played A Little Game Called Pokemon Go Over 50 Million Pe 2 (57.91 KiB) Viewed 40 times

The Rise and Fall of Pokémon Go Name: Back in the day, people played a little game called Pokémon Go. Over 50 million people played it, which made it one of the most popular games of all time. But like most games, people got tired of it. Today, you're a game designer and investor. Your goal is to figure out how you could have made the game better and how you could have made a lot of money on it. Go time. Pokémon Go Uwers Over Time Section 1: Taking it in 1. The graph to the right shows the popularity of Pokemon Go over time. To start, describe any trends you see in the data 10 15 TS 25 Days Are Land Growth Phase In this phase, the new users are trying and techng the game Exponential phase: In this pho se, the number of users are growing Fapidly, as the users are stil plating and also telling other people about it, meaning a huge growth in the player's population 2 Why do you think the data looks like this? Decay Phase: In this phase, people are getting bored of the new gams, plus new people are joining, just not at the same speea. The growth delaying to an equilibrium where the populo. Hon of users do not change. End phase the population of new users joining is less than the oid people leaving, making the total popdation fail Section 2: Amping it up The popularity of Pokémon Go can be modeled a quadratic function. This is true for lots of things that become popular quickly, then become old news. The function that best models this data is f(x) = -0.06x? +3.75x - 4,87. Use this equation to answer the following questions 3. If you can track how many people use the game each day, you can predict when people will stop playing. That way you can fix the game while it's still popular-before it's too late. What key feature of our model tells us when the game was most popular? dx fix)=(-0.006x2 + 3.75 -4.87) dx 05 -0.12% + 3.75 f(x) "0 -3.25 -3.75 -0.12% -0.12 0.12X CCOY NECE DANS X= 31.25 weeks after lunch

sition oder PU ver 4. let's go back in time, before Pokemon Go started losing popularity. As the game designer, it's your job to figure out how to keep the game popular-how to stop people from quitting. To keep people playing you decide to launch an amaring new feature to the game exactly when it reaches the peak of popularity. Based on your model, when should you launch the new feature? (Bonus: What will the feature be? (-0.024 3,75x-4.87) The highest peak day is 81.25 and to improve 05 0.12% 315 the game, you need: Betler -3.15 interfoce and game play game -3.15-0.12% Reduce bugs and increase efficency of more wont in in game 0.12 -ON 2X Allow players to receive rewards for excelling in the game • Introduce competiton to the game X= 31.25 5. You wanted to launch the amazing new feature when the game was most popular, but it turned out to be harder to build than you thought. You won't be ready to launch until day 50. It's a very expensive new feature, so it will only be worth it to build it if it helps the number of users increase to at least 40 million. The new feature should get about 9 million more people playing, will it be worth it to build? How do you know? The game will be worthy to rebound because a day 50, the build up is! -0.0t 150)+3.75(68)-4.87 = 150 + 181.5-4.87 = 32.63 million players Players after the expensive rebuild is an increase in 9 million, 50 324394163 million So, players after build up will be 41.63 minnon, which is more than the 40 million required In conclusion. The buid up w be worthy 6. you have a lot of users, it doesn't take much to make a lot of money from an ultra-popular game. Let's say you make just $0.04 per user each day. Let's also pretend that you never released that new feature. Based on the model, f(x) = -0.06x +3.75 -4.87, will you ever earn at least $1 million per day? If so, for how long? Explain how you know! Yes. One con corn million per day for some days. for one to earn a million per day, you should have 0.04x(x)=l,x= 25 million users per day To find which days one will have 25 users a a day Y= -0.00+ 3.757-4.87, y = 2.5 users 25:00Lex - 3.75 -4.87 0-0. Olox2-3.75 -29 87 X= 9.317 + X= 53.08 Between 9.38 day and 53.08 day, one will com 1 million dollar per those days in between 53.08.9.38 - 43.7 day 43. 7 days, they will earn 1 million dollars a day CEY-NCby Chalk Dos