35 tweets to read before you begin measuring UX
In this edition of #UXchat, we’re discussing all things UX metrics. How do you measure UX? What are the pitfalls when measuring UX? What are the best and worst metrics to use? The subject of measuring the success of UX is a thorny one, that…
What metrics do the experts use to measure UX effectiveness?
NPS? AOV? TPI? SUS? CUS? Come see how many of these UX abbreviations I invented myself in this investigation into how the experts measure UX. It’s all well and good us sitting around in our ivory tower yelling how great UX testing is out of the…
Demystifying Statistics: Why do we need confidence intervals?
Confidence intervals are calculated from an estimate of how far away our sample mean is from the actual population mean; the amount of error (or discrepancy) from our sample mean to the population mean.
Demystifying Statistics: Why and how we adjust the p-value for number of tests run
Continuing our series on Demystifying Statistics, where we answer some of the most common questions we receive about UX stats. In the previous post in the Demystifying Statistics series we discussed what statistical significance means and what a p-value is. In this post we are…
What’s the difference between quantitative and qualitative research?
Welcome to our regular series of UX beginner’s guides. This week: what’s the difference between quantitative and qualitative research? In my first few weeks of working for a UX testing company I was put under a rigorous training programme. Every facet of UX testing was…
Telling the Full Story: Adding Qualitative Data To Executive Dashboards
In this webinar on-demand, Dr. Andrea Peer discusses how to include unstructured qualitative data into a structured quantitative spreadsheet in order to create truly impactful product scorecards and executive dashboards.
How to Measure User Expectations for Product Features
If you want to really know what users expect out of your product / product features, you’re going to have to get more in depth than simply asking them “Does this feature work the way you expected it to?”
Demystifying Statistics: What is p and what does p < 0.05 mean?
This blog series aims to demystify some of the common questions we get on statistics. In this blog post we will be talking about what a p-value actually is, why does it have to be less than 0.05, and how they can help with making decisions in your UX research.
A Metrics-Based Model of the 21st Century Enterprise
Most UXers spend a lot of time developing and refining methods to capture the user’s perspective, but there is far less time spent learning and practicing how to make a strong business case for their findings. We’ve experienced this vividly and have developed a framework to present an updated model of the various metrics collected within an organization to help UXers make a precise and defensible case for their work.
Supercharge Your Corporate Dashboards With UX Analytics
Learn how executive dashboards bring visibility of your UX analytics to the entire organization.
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