One UX metric to measure the world! Introducing UserZoom’s single score for experience benchmarking
Here at UserZoom we have created our own UX scorecard program called the qxScore. Its purpose is to create a single benchmarking score for your product.
What are micro conversions and why should you be tracking them?
Let’s take a look at micro conversions – smaller user actions that you can track on your website, and how they can help you to understand visitor behaviour. First of all, it’s useful to define both micro and macro conversions, so we can understand how…
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?
UX metrics are a set of quantitative data points used to measure, compare, and track the user experience of a website or app over time. They are vitally important for ensuring UX design decisions are made, and then evaluated, using fair evidence rather than opinions….
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.
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