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A/B  Test  to     Improve  the  User  Experience   by  Lara  Swanson   (Lead  Front  End  Dev  at  Dyn)  

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Background   •  Dyn  =  DNS  and  Email   Delivery   – E-­‐commerce  site   – ApplicaHon   management   – User  seIngs   – MigraHon  tools  

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What  is  an  A/B  test?   •  Analyze  user  interacHon   with  an  element:   – Content  –  Design   – Layout    –  AcHon   •  Create  two  versions  of   the  element  to  test   •  “Winning”  version    =   happy  users!   Picture  by  Kevin  Cornell  via  A  List  Apart  

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App  landing  page  with   installaHon  screenshots     App  landing  page  with   installaHon  video   A B

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Don’t  miss  out  on   becoming  a  VIP  user.   Sign  up  now!     Don’t  be  an  idiot;   become  a  VIP!   A B

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“Buy”  buZon  adds  the   product  at  $20  for  1  year     “Buy”  buZon  adds  the   product  at  $35  for  2  years   A B

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Running  an  A/B  test   1.  Split  users  into  two   segments   2.  Randomly  show   users  one  of  the  two   versions   3.  Track  what  users  do   on  each  version  

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Conversion  Tracking   Determine  the   “conversion”  to  track:   •  Next  user  acHon   (next  screen,  next   click)   •  Final  user  goal   (checkout,  sign  up)  

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App  landing  page   with  installaHon   screenshots     App  landing  page   with  installaHon   video   A B }measure  %   new  user   completed   installaHons  

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Don’t  miss  out  on   becoming  a  VIP  user.   Sign  up  now!     Don’t  be  an  idiot;   become  a  VIP!   A B }measure  %   of  users   who   signed  up  

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“Buy”  buZon  adds   the  product  at  $20   for  1  year     “Buy”  buZon  adds   the  product  at  $35   for  2  years   A B }measure   average   order   value  per   completed   checkout  

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Conversion  Tracking   •  StaHsHcal  significance   – 95%  confidence  level   to  determine  “winner”   •  You’ll  need  enough   users  and  conversions   have  significant   results   My  favorite  calculator:   usereffect.com/split-­‐test-­‐calculator  

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AddiHonal  Data   Examine  data  for   addiHonal  user   acHons  beyond   the  primary   conversion  rate  

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AddiHonal  Data   Segment  your   user  data  by   various   demographics  

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MulHvariate  Tests   Create  mulHple  versions   and  test  them  all  at  the   same  Hme     (use  adcomparator.com’s   Taguchi-­‐Based  calculator)   (source)  

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Best  PracHces   •  Don’t  let  tests  go  on   forever   •  Test  “screams”  rather   than  “whispers”   •  Use  tests  to  solve  UX   design  disagreements   Photo  by  Poppy  Thomas-­‐Hill  (source)  

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Resources   •  whichtestwon.com   •  alistapart.com/arHcles/a-­‐primer-­‐on-­‐a-­‐b-­‐ tesHng/   •  smashingmagazine.com/the-­‐ulHmate-­‐guide-­‐to-­‐ a-­‐b-­‐tesHng/   •  abtests.com  (next  slides)  

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Green  links   Red  beveled  buZons  

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Red  beveled  buZons   Winner   5%  more  people   clicked  

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Has  “social  proof”   No  “social  proof”  

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No  “social  proof”   Winner   102%  more   people  signed  up  

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Large  screenshots   Significantly  longer  page   Small  screenshots   Shorter  page  

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Large  screenshots   Significantly  longer  page   Winner   85%  more  people   downloaded  the   trial  

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Has  name  of  blog   No  name  of  blog  

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No  name  of  blog   60%  more  people  signed  up   Winner  

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Prominent  headline   Bulleted  benefits  of  registraHon   More  screenshots   Sign  up  now  buZon  at  top  

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Prominent  headline   Bulleted  benefits  of  registraHon   Winner   128%  more   signups  

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QuesHons?