Driving growth of UX value
by utilizing buried Data
What is Data-driven UX?
Every UX is being recorded as behavioral history data.
If possible to understand users from the data and give feedback to UX,
more value would be created by UX Designers and Data Scientists.
Data-driven UX is a framework to meet the demand.
2 Issues to be solved
UX is not reproducible
-
UX is designed through imagination without evidence, and a self-centered one is built
-
UX is not objectively evaluated based on data, and not reproducible
Data is not converted into value
-
Data is collected without optimization for purpose, and useless one is accumulated
-
Data is not effectively utilized to improve UX, and not converted into value
Data-driven UX is a framework to make "kill two birds with one stone"
Bringing reproducibility to UX by learning decision-making processes from behavioral history data
Bringing value back to behavioral history data been buried after used as a source for aggregation
7 Steps for execution
Data Preparation
Making behavioral history data of users available to analyze
UX Modeling
Classifying users into groups based on similar behavioral patterns extracted
User Sampling
Randomly selecting several users from each classified group
Data Ethnography
Closely observing the behavioral history data of the selected users
UX Feedback
Learning decision-making processes of the users and designing improved UX
Trial Offering
Offering the improved UX to some users including the selected users as a trial
Effect Verification
Verifying the effectiveness of the improved UX based on the results of the trial
Data-driven UX is a service provided by CROSSHACK Inc.