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

Posted: Thu May 12, 2022 2:03 pm
by answerhappygod
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
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 (50.21 KiB) Viewed 28 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
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 (63.58 KiB) Viewed 28 times
The Rise and Fall of Pokémon Go Name: Back in the day, people played a little game called Pokemon 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. 0 10 ayாம் Section 1: Taking it in Pokemon Go Users Over Time 1. The graph to the right shows the popularity of Pokémon Go over time. To start, describe any trends you see in the data Growth Phase In this phase, the new users are trying and reshing the game. Exponential phase: In this phase. the number of users are growing rapidly, as the users are still plauing 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 phose, people are getting bored of the new game Dus new people are joining just not at the same speed. The growth delaying to an equilibrium where the population of users do not change End phase the population of new user's joining is less than the old people leaving, making the total population 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 became old news. The function that best models this data is f(x) = -0.06r* +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? dxf)=(-0.0060x2 + 3.75 -4.87) dy 0-0 12x + 3.75 f(x)0 es -3.755-0.iex -0.12% 0.12% Chaos X= 31.25 weeks after lunch
4. Let's go back in time, before Pokémon 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 amazing 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? Co Olox2 +3.75%-487) The highest peak day is 31.25 and to improve 0-0 12x +32 the game, you need: 75 -3.15 -3.75 Better game interfoce and game play -3.75 -0,12% *Reduce bugs and increase efficency of movement in ngame 0.124 -0.12% Allow players to receive rewards for excelling in the game Introduce competition 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 rebuid becouse at day 50, the build up is -0.00 (50)+3.75 (56)-4.87 = 156 181.5-4.87 = 32.13 million propers Players after the expensive tebuild is an increase in 9 million, 50 32.719=416 3 cilior So, players after build up will be 41.63 million, which is more than the 40 million requured In conclusion, the build up be worthy 6. If 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) = -0.06x2 +3.75x -4.87, will you ever earn at least $1 million per day? If so, for how long? Explain how you knowl Yes. One will earn a million per day for some days. for one to earn a million per day, you should have 0.04x(x)=\,x=25 million users per day To find which dous one will have 25 users a day Y= -0.0**+ 3.757.4.87, Y=25 users 25-0.06X2 -3.75 -4.87 0-0. Olox2 - 3.75 -29 87 X= 9.377 + X= 53.08 Between 9.38 day and 53.08 doy, one will earn 1 million dollar per those days in between 53.08-9.38 = 43.7 day 43.7 days, they will eam 1 million dollars a day CHYNGO Chatel Cha Dos