UX & Usability Testing
We can find out where the problem areas are by testing your user base!
Usability testing is a technique used in user-centered interaction design to evaluate a product by testing it on users. This can be seen as an irreplaceable usability practice, since it gives direct input on how real users use the system.
Usability testing is a black-box testing technique. The aim is to observe people using the product to discover errors and areas of improvement. Usability testing generally involves measuring how well test subjects respond in four areas: efficiency, accuracy, recall, and emotional response. The results of the first test can be treated as a baseline or control measurement; all subsequent tests can then be compared to the baseline to indicate improvement.
How much time, and how many steps, are required for people to complete basic tasks? (For example, find something to buy, create a new account, and order the item.)
How many mistakes did people make? (And were they fatal or recoverable with the right information?)
How much does the person remember afterwards or after periods of non-use?
4. Emotional Response
How does the person feel about the tasks completed? Is the person confident, stressed? Would the user recommend this system to a friend?
To assess the usability of the system under usability testing, quantitative and/or qualitative Usability goals (also called usability requirements) have to be defined beforehand. If the results of the usability testing meet the Usability goals, the system can be considered as usable for the end-users whose representatives have tested it.
In web development and marketing, A/B testing or split testing is an experimental approach to web design (especially user experience design), which aims to identify changes to web pages that increase or maximize an outcome of interest (e.g., click-through rate for a banner advertisement). As the name implies, two versions (A and B) are compared, which are identical except for one variation that might impact a user's behavior. Version A might be the currently used version, while Version B is modified in some respect. For instance, on an e-commerce website the purchase funnel is typically a good candidate for A/B testing, as even marginal improvements in drop-off rates can represent a significant gain in sales. Significant improvements can be seen through testing elements like copy text, layouts, images and colors. Multivariate testing or bucket testing is similar to A/B testing, but tests more than two different versions at the same time.
*This inclues 3-5 subjects tested once a month for one year.
*This includes two subjects tested once a month for one year.
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