Data Science and Analytics for User Experience

At Blink, we have helped clients create measurable goals, select and implement the right analytics toolsets (including Google Analytics, Adobe Analytics, and tag management tools), consume existing analytics data to inform the design process, and measure and report on key metrics.

Our services span from ad hoc, one-time analysis to regular monthly or quarterly reports. Our philosophy is never to report for the sake of reporting but to use data to generate recommendations for how to improve.

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Related Content

Better Together: User Research and Analytics

Written by Diego Fontes, Guest Author

Incorporating analytics into UX processes and research methods can add value in many ways. Project teams should use a combination of different data types to consistently measure data (in the wild) about usability and user behavior.

Three Steps To Better Dashboards

Written by Heidi Adkisson

Not that there is anything wrong with making a dashboard visually appealing—it’s a key part of the user experience. But I’d suggest an approach to designing dashboards that begins with the what before getting into the specifics of how to present the display.

Using Data to Drive Change (One Cyclist at a Time)

Written by Tim Bridgham

Blink encourages us to spend at least one day a year volunteering around the city. I chose to spend my time counting cyclists and pedestrians for two main reasons.

Data Science and Analytics

Need help creating an analytics strategy for your business?

Related Content

Better Together: User Research and Analytics

Three Steps To Better Dashboards

Using Data to Drive Change (One Cyclist at a Time)