Building Blocks of a User Experience Research Point of View

TL;DR

This paper introduces three perspectives on User Experience Research (UXR) based on data, evidence, and insights, demonstrating their successful application and lasting impact in enterprise settings.

Contribution

It presents three innovative UXR strategies—Smart Visuals, Assessable Code Editor, and Opportunity Landscape—that challenge norms and show practical, impactful adoption.

Findings

All three perspectives were adopted and had long-lasting impact.

The strategies effectively addressed critical user needs and business priorities.

They demonstrated the value of data-driven, evidence-based UXR approaches.

Abstract

This paper presents three User Experience Research (UXR) perspectives based on data, evidence and insights - known as Point of View (POV) - showcasing how the strategies and methods of building a POV work in an enterprise setting. The POV are: 1. Smart Visuals: Use AI to extract and translate text from visuals in videos (2019). 2. Assessable Code Editor: Focus on direct AI-feedback to the learner as it is the loop that requires the least effort for the highest impact(2023). 3. Opportunity Landscape: Identify high-impact opportunities at the intersection of emergent technical capabilities that unlock novel approaches to critical user needs while addressing business strategic priorities (2019). They all seemed far-fetched and went against common practice. All were adopted and had long-lasting impact.