Designing For Humans (like You & Me) - Reviewed

Just a small conversation which aims to integrate basic knowledge of areas related to user feedback research, experience journeys creation, user behavior analysis - among others -, with the aim of presenting basic aspects of user interfaces under the bias of understanding them based on our cognitive functions.

Transcript

1. @ythecombinator #CocoaHeads designing f humans (like y & me) reviewed
2. @ythecombinator #CocoaHeads designing f serumaninhos (like y & me)
3. th is not a с tati
4. th a conversation
6. dev @ BEPiD helper/organizer @ NUG, JS4Girls, Lambda I/O, Android Meetup & others @ythecombinator
7. let's talk about ... ch ogy ne ci ap
8. brain
9. the h a limited. ( d tha not news ).
10. le t k ab t memory & attention...
11. a memory
12. a mech m ich s to manipulate and understand the world, tak g to acc t our living context and experiences.
13. a mem sensory
14. using our senses, a id tifiс, o с d c p e f mati , sîp g mem d recognizing patterns
15. demo t e
17. Recognize != Remember
18. Recogniz g ab t checking ided information. Remembр g ab t searching your memory f the right information. Recogniz g requ с much s a o g th remembр g. Recogniz g much faster!
19. h m y buttons have y evр ed?
20. affordance pрÎptu ch ogy cognitive ch ogy v m t ch ogy d i dсign h –c tр tрacti р pрi
21. visual information fr objecʦ makes it obvious to us its use.
23. a mem short-term
24. i рe the data coded by s mem analyzed ( y ab t 7 items c be st ed)
25. demo t e
26. 8039722088 3809722088
27. The y way to get d the sh t-tрm mem l itati minimizing the user's memory load.
28. a mem sh t-tрm system behavior
30. never evр leave the d k.
31. a mem long-term
32. st с the relevant information fr sh t-tрm mem
33. Context Practice Recency
34. a mem sh t-tрm onboarding
35. educate the р behavi with small doses of information
36. a mem sh t-tрm recency
37. i much likлy that w search again, in a short period of time, a reÎntly ac ed f mati
38. a mem overview
39. MEMORY FUNCTION DURATION PRACTICES Sensory Encoding 2–5 ms Affordance Short-term Retention 15–30 s System Behaviour Previous Actions Long-term Recovery - Onboarding Recency
41. a attention
42. mental activity d p ed р a ta object
43. fovea retina s рa c nea p optic nрve
44. Light Reflected Light F ea Ret a
45. Peripheral Central Fr ge A ti Foc A ti
46. a a ti punches on rails
51. bad guys t thрe
52. bad guys t thрe uintuitive empty states
53. ✓ w c p ed lay t ✓ beautif gra i ✓ f g the guidл
54. ? why thрe a big se ch bu if thрe e no c ecti ? ? y doс the h t iʦлf not c ta add bu ? ! the sec d m t t лem t, the age obvi ly not tappab
57. empty states have a v important role ab ity!
58. bad guys t thрe hidden navigation
59. p g menu opti a m e v ible way e engagement & satisfaction
61. -50% gagem t t e - îkly & da y frequ cy - t e sp t app
62. +50% s i +70% s i t e +65% da y active
63. + gagem t + sat facti + rev ue
65. “ a out of sight , t m d.”
66. bad guys out there Ic , ic ev рe
69. "le sh e"
70. "le sh e"
71. "le sh e"
72. Avoid ic with c flict g me gs Use labels evр it w d hлp the
73. f complex features, text labels sh d be ed.
74. the bсt ic the one that e most familiar with.
75. bad guys t thрe gestures
76. th e always hidden. If y hide opti , less people will use it.
77. m t gсt are not st d d d consistent across apps yet
78. "j t ipe right"
79. th said
80. bad guys out there bad bo d g
81. m y w skip y o; they just want to get started with the app.
82. user interface like a joke. If y have to a it, it’s not that good
85. peo e le n best by doing
86. ide the f mati short, easily digestible ch
87. s le nt
88. don't t me
89. god t; oth must g data
90. Do y own thinking. Do y own design. Do y own research.
91. bit.ly/ ux-cocoaheads
92. th x @ythecombinator #CocoaHeads