Category Usability Testing & A/B Testing
Usability testing is a research method to measure how user-friendly a product or interface is. The researcher observes the user while asking him to complete a set of tasks.
A/B testing is a much used research method in the field of statistics in which you compare two versions of a web page to see which one performs better.
As a philosophy, both research methods encourages an evidence-based practice in order to improve key metrics.
After many years of conceptualising, managing and prioritising A/B tests (both server side as client side) I thought about sharing my experience. Most companies and clients with who I’ve worked with have been conducting A/B tests. Some more than others, but all of them understood the necessity of testing hypothesis. Although understanding the “why” is… continue reading
You just finished designing your latest web project. You did your research, designed it with your client’s audience in mind, and now it’s ready to be launched. Or is it? Many designers fail to follow through with one of the most important elements of successful web design — user testing. It sounds daunting… and expensive.… continue reading
You’re moderating a usability session and things aren’t going as well as you’d like. Maybe the participant doesn’t seem to have the qualifications that you need, or the participant seems anxious despite your best efforts to alleviate his nervousness. What should you do? Talking to users is usually the favorite part of our job as… continue reading
Lately, you may have heard a lot of buzz about A/B Testing. This is no small part thanks to the central role to approach played in Obama’s successful presidential bid as a part of a grassroots marketing and fundraising effort. Google, Amazon, eBay and the BBC are also big fans, making this the hit term… continue reading
Usability testing is a technique used to evaluate a product, such as an application, website, book etc. by observering people using it. The goal is to discover usability problems, collect quantitative data (e.g. time on task, error rates), and determine the participant’s satisfaction with… continue reading
