UXINDIA18 - How not to drown in the ocean of qualitative and quantitative data?

D7424ff0e1dc983d898de62c7496c321?s=47 uxindia
October 05, 2018

UXINDIA18 - How not to drown in the ocean of qualitative and quantitative data?

30 min case study - Day 2

D7424ff0e1dc983d898de62c7496c321?s=128

uxindia

October 05, 2018
Tweet

Transcript

  1. None
  2. redesigning Allegro in the ocean of data

  3. disposable diapers

  4. disposable diapers pampers

  5. disposable diapers pampers off-road vehicle

  6. disposable diapers pampers off-road vehicle jeep

  7. disposable diapers pampers off-road vehicle jeep sneakers

  8. disposable diapers pampers off-road vehicle jeep sneakers adidas

  9. generic trademark trademark or brand name that, due to its

    popularity or significance, has become the generic name for, or synonymous with, a general class of product or service
  10. None
  11. buying on Allegro = buying online

  12. ? icon: Freepic from www.flaticon.com

  13. 72 %

  14. ? icon: Good Ware from www.flaticon.com

  15. 50 %

  16. “With great power comes great responsibility.” uncle Ben, Spiderman

  17. why the new Allegro layout?

  18. new styleguide metrum

  19. main page

  20. main page offer listing

  21. main page offer listing offer page

  22. main page offer listing offer page checkout process

  23. main page offer listing offer page checkout process thank you

    page
  24. previous redesign in 2012...

  25. previous redesign in 2012... went wrong!

  26. previous redesign in 2012... how to fix it?

  27. Metrum redesign in 2017...

  28. Metrum redesign in 2017... how to make it painless?

  29. None
  30. None
  31. metrics how is our product doing?

  32. how is our product doing? % of converted visits

  33. how is our product doing? % of converted visits Gross

    Merchandise Value
  34. how is our product doing? % of converted visits Gross

    Merchandise Value NPS
  35. start small

  36. start small 1.5% traffic

  37. 2 months rollout?

  38. 2 months rollout? NOPE

  39. metrics showed us... % of converted visits Gross Merchandise Value

    NPS
  40. something is wrong % of converted visits Gross Merchandise Value

    NPS
  41. how to move forward?

  42. metrics how is our product doing?

  43. metrics how is our product doing? creating hypothesis

  44. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis
  45. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis surveys Diary studies Usability tests
  46. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis Analysis of transactions Analysis of traffic surveys Diary studies Usability tests
  47. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis Analysis of transactions Analysis of traffic surveys Diary studies Usability tests Why so many methods?
  48. Why are people spending less?

  49. None
  50. “I can’t find other items from the same seller!”

  51. None
  52. None
  53. None
  54. None
  55. buying multiple offers from one seller

  56. buying multiple offers from one seller Analysis of transactions

  57. buying multiple offers from one seller

  58. why is something happening? ux research big data analysis

  59. why is something happening? ux research big data analysis alarmed

    us
  60. why is something happening? ux research big data analysis alarmed

    us gave us hints
  61. why is something happening? ux research big data analysis alarmed

    us gave us hints showed us scale
  62. Why is the checkout performing worse?

  63. list of offers offer page checkout process ending transaction monitoring

    purchase funnel
  64. list of offers offer page checkout process ending transaction monitoring

    purchase funnel conversion up!
  65. list of offers offer page checkout process ending transaction monitoring

    purchase funnel conversion up! conversion down
  66. list of offers offer page checkout process ending transaction monitoring

    purchase funnel conversion up! conversion down first conclusion: there’s something wrong with our checkout process!
  67. None
  68. I just wanted to find out which delivery options are

    available.
  69. None
  70. None
  71. None
  72. None
  73. None
  74. why is something happening? ux research big data analysis alarmed

    us
  75. why is something happening? ux research big data analysis alarmed

    us redefined problem
  76. why is something happening? ux research big data analysis alarmed

    us redefined problem confirmed problem
  77. Why is the conversion on offers listing dropping?

  78. list of offers offer page checkout process ending transaction monitoring

    purchase funnel conversion down
  79. None
  80. None
  81. None
  82. more space

  83. more space less offers

  84. is that a problem?

  85. None
  86. None
  87. None
  88. why is something happening? ux research big data analysis

  89. why is something happening? ux research big data analysis alarmed

    us
  90. why is something happening? ux research big data analysis alarmed

    us provided hypothesis
  91. why is something happening? ux research big data analysis alarmed

    us provided hypothesis proved the hypothesis
  92. why is something happening? ux research big data analysis alarmed

    us provided hypothesis proved the hypothesis
  93. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis
  94. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis creating solution
  95. metrics how is our product doing? creating hypothesis why is

    something happening? ux research big data analysis creating solution A/B tests is the solution working?
  96. wrapping things up

  97. ux research big data analysis

  98. ux research big data analysis why is not enough?

  99. ux research big data analysis why is not enough?

  100. ux research big data analysis

  101. 2 months rollout?

  102. 2 months rollout? 8 months rollout

  103. 2 months rollout? 8 months rollout

  104. any questions? alicja.antkowiak@allegro.pl przemyslaw.chrosniak@allegro.pl