Rankings, you're doing it wrong

We have seen a lot of rankings in our lifes, not only in WebApps but also in different devices, usually as part of a gamification implementation. But is it being really effective?

In fact, the majority of rankings implementations are wrong, and can even make your application less attractive. You may never get on the top of the ranking and never find a real challenge against other users, and those are just some of the major problems.

Different algorithms are applied and developed to make ranking attractive, some of those by big companies as Sony, Microsoft, Nintendo and others, and we are able to use them in our development process too.

That said, how should we proceed? How can we use Rankings effectively to help us to build better and engaging applications? Simple, watch this talk!

Transcript

1. Rankings: you’re doing it wrong.
2. João Moura github.com/joaomdmoura twitter.com/joaomdmoura speakerdeck.com/joaomdmoura
4. largest city in Brazil southern hemisphere
7. RubySource
10. Why? where and how?
11. #Everything is Software
12. Young Entrepreneurs are developing new applications for young audiences
13. Gartner Research: Over 70% of Global 2000 Organisations Will Have at Least One Gamified Application by 2014 (source: Christy Pettey, Gartner press release, http:/ /www.gartner.com/newsroom/id/1844115)
14. Gartner Research: By 2014, 80% of Current Gamified Applications will fail to Meet Business Objectives Primarily Due to Poor Design (source: Christy Pettey, Gartner press release, http:/ /www.gartner.com/newsroom/id/2251015)
15. Objective order and distinguish
16. Factor how skilled relevant
17. Ranking Behavior Relevancy
18. Ranking Behavior Relevancy
19. ! Problem wrong relavancy!
20. “I want to be the best user ever!”
21. 1 2 3 1000 2000 1500
22. 1 2 3 1000 2000 1500
23. 1 2 3 1000 2000 1500 10
24. 1 2 3 4 1000 2000 1500 10
25. 1 2 3 4 1000 2000 1500 10
26. 1 2 3 4 1000 2000 1500 10
27. Consequence objective X reality
28. Humans Want to prove themselves
29. Skill != history
30. Rankings isn’t child's play
31. Possible algorithms
32. Algorithm is an finite sequence of well defined instructions, that can be executed mechanically in an finit amount of time with an finit effort.
33. Elo rating
34. Rating game
35. Rating game Ra = Rb
36. precision Nø matches
37. Microsoft yeah, Microsoft
38. Microsoft yeah, Microsoft
39. +
40. TRuESKILL
41. True Skill Elo rating on steroids
42. distrust SKILL rating {
43. distrust USER game SKILL
44. 2000 100 1500 500
45. 2000 100 1500 500
46. distrust SKILL
47. distrust SKILL
48. distrust SKILL
49. x distrust SKILL challenge
50. WIN LOST difficulty
51. Microsoft Yes, it’s patented
52. Sigma Ruby, Ruby, Ruby ̇
53. Skill Distrust Expectation Assertiveness Considerate
54. 100.times { user_1.won (user_1.rating - user_2.rating) user_2.lost (user_2.rating - user_1.rating) user_2.won (user_2.rating - user_3.rating) user_3.lost (user_3.rating - user_2.rating) user_3.won (user_3.rating - user_4.rating) user_4.lost (user_4.rating - user_3.rating) }
55. 2.times { user_5.won (user_5.rating - user_2.rating) user_2.lost (user_2.rating - user_5.rating) } 2.times { user_5.won (user_5.rating - user_1.rating) user_1.lost (user_1.rating - user_5.rating) } expect(User.ranking.first).to eq user_5
57. Easy x.rating x.position x.matches x.won(difficulty) x.lost(difficulty)
58. CodePong Devs also practice sports
59. Conclusion
60. Conclusion 1. Everybody wanna play
61. Conclusion 1. Everybody wanna play 2. Productivity gets low
62. It happens to Developers and it will happens the same to your Users.
63. Review Possibilities Relevancy Algorithms Sigma Ping Pong is cool!
65. Thank you! @joaomdmoura