How to be a great UX research leader – part two: Measure experience consistently and quantitatively
Welcome to our four-part guide on how to become a great UX research leader, where we’ll teach you how to deepen your understanding of users and data, and promote the value of user research throughout your organization. This week: how to measure experience consistently and…
How to be a great UX research leader – part one: Know your own data using scorecards
So your organization has committed to UX research. Hooray! A great UX research leader is the key to making the most of this opportunity. Over the years, I’ve worked in a lot of UX research settings, observing a lot of leadership styles. My conclusion: Many…
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.
Thank you for signing up!
You should receive an email from us shortly