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Measuring Product Experience at Scale

Product

Enterprise Cloud Product

Timeline

4 weeks

research methods image for wix.PNG

Methods

Survey & Usability Testing (unmod)
Metrics: SUS; PMF; Task Success; Efficiency

Context & Problem

The team needed a reliable way to measure UX over time, track improvements, and prioritize product decisions.

I led the usability component of a recurring scorecard, partnering with quantitative research to build a scalable mixed-methods system.

The core challenge: how do we measure product experience consistently and make it actionable over time?

Research Goals

  • Measure usability, usefulness, and PMF
  • Evaluate core workflows
  • Identify task barriers
  • Track progress across releases

My Role

Owned the usability workstream within the benchmarking system

  • Designed research approach, discussion guide (task scenarios), and recruitment strategy

  • Built and tested unmoderated study in UserZoom

  • Aligned with colleague on analysis & synthesis

  • Led final report creation for both workstreams (qualitative & quantitative)

  • Integrated usability findings with survey insights

Impact

  • This program became a primary input for product prioritization and experience improvements
  • Increased SUS (14 → 36)
  • Increased PMF (19 → 23)
  • Identified performance and tool configuration as key drivers

 

Org impact: Established a repeatable UX measurement system

Reflection

This work represents efforts to integrate qualitative usability testing with quantitative survey data into a unified benchmarking program. While it provided a more complete picture, it also surfaced challenges in aligning methods, timing, and outputs.

My UXR colleage and I coordinated across global time differences, aligning on project timelines, survey and usability questions, and the synthesis of findings into a single, clear narrative for stakeholders.

Although we successfully navigated these challenges, the experience highlighted the need for strong upfront coordination when combining methods to ensure the insights truly work together.

Takeaway: Mixed-methods research is most effective when it’s intentionally designed to connect from the start.

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