What users want
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The document appears to be a series of tweets by Vladimir Dejanović about a talk given at Devoxx BE on November 10th, 2016 titled "What Users Want". The tweets contain various hashtags such as #Devoxx and #WhatUsersWant and include many links to external references on topics such as A/B testing, data-driven marketing, and user experience.
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What users want
- 1. @YourTwitterHandle#DV14 #YourTag @VladimirD_42#Devoxx #WhatUsersWant What users want Vladimir Dejanović Devoxx BE 10Nov2016
- 2. @VladimirD_42#Devoxx #WhatUsersWant ref: https://macpeanut.wordpress.com/2015/08/12/crystal-balls/
Editor's Notes
- We would all like to have Crystal ball,right. So we could see future, know what users want. Imagine making facebook or google before facebook or google.
- But we don’t have crystal ball. So what do we do. We guess, we use gut feeling, we make assumptions
- Assumptioin is the mother of all fuckups Don’t Assume things Know things
- So what should we do then? How to know what users want ? Is there a better way then guessing? Can we ask users what they want?
- We are producing huge amount of data all the time. Just think how much data we create, via social media It is enormues.
- Data is power. Who ever has the data hold the keys to this enormous power. First we need to gather data.
- Monitor everything. Gather information how user intereact with your web site. Gather information how they interacte with your app. Gather as much info as you can.
- From this data create hypotheses. I think that if we do this, users will do that
- Next step is to scientifecly aprove or disaprove your hypotesis. Use A/B testinig for that. Imagne you have a website
- And you have a green button. You think that if you make button red, users will interace more. Create version with red button
- Route trafic to both version A and B at the same time. 50/50 50% of users will see version A 50% of users will see version B
- Gather info, monitor everything Do users interacte in a way you thought they would Which convertes better A or B. In the end ....
- You have a winner You know what users want You have scientificly aproved or disaproved your hypotesis Which means
- No more endless boring meetings I had my fare share of them , and I don’t want them any more
- No more He who shout the loudest win the argument If you have opinions and no data, this is how it ends
- No more hippo Highest paid person’s opinion We don’t care how much you earn, we care about data.
- Every one has opiniions, and will argue for them You can’t argue data Make all your decisions data driven
- Amazon Boooking Google and many others are using a/b testing for years to make their fortune
- Logic is the key Logic and data So use them