top of page

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

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

Not Converted
  • 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

2 Methods for enablement

Data Ethnography


Researching users ethnographically by observing behavioral history data

UX Modeling


Modeling typical behavioral patterns of users based on sequential pattern mining

Data-driven UX is a service provided by CROSSHACK Inc.

bottom of page