Advantages of a Quantitative Usability Study
With a quantitative usability study you can make well-informed decisions based on UX research.
It can give you the much needed proof to convince your manager that a design relaunch is necessary, even if it’s expensive. Gather insights and validate usability by using quantitative data from your target group.
Back up your UX and UI changes with numbers
You have the impression that the UI and user experience design of your digital product aren’t as good as they could be, but you need to prove that feeling with numbers. In particular, stakeholders or upper management usually use numbers as a base for their decisions, rather than assumptions. The re-design of a website, app, or any digital product can be quite expensive, so you need good reasons for starting that project and the proof for its return on investment. Another challenge might be comparing differing designs, like an old and a new version of your website, or your product with the product of a competitor.
Make well-informed decisions based on research
Quantitative studies are the only studies in usability testing that help you put a number behind your UX design process, and are therefore the best instrument to calculate the return on investment of a new UI design, for example.Show more
Ask what’s relevant…
The quantitative survey can be based on user performance on a given task like success rate, number of errors or task-completion time, but can also give you insights into the testers’ perception of the usability of your digital product with the help of satisfaction ratings.
With crowdtesting, you can select the exact members of your target group from our Crowd of over 600,000 testers, categorized by over 65 demographic criteria. This helps you get real customer feedback from real users, which paves the way to actual user-centered design (UCD), taking all user requirements into account.
“Working with Testbirds led to us professionalising our testing process, as it forced us to critically examine our own testing structure. It definitely made our organisation more mature […]. Furthermore, crowdtesting has proven to be efficient. We can start testing on a Monday and see results on a Tuesday.”Download Case Study
"The research carried out by Testbirds proved our instincts were right with a combination of invaluable anecdotal and quantitative data. The process was clear and the team at Testbirds provided useful feedback and advice throughout."Download Case Study
Do you have questions about Quantitative Usability Study?
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What is a Quantitative Usability Study?
The Quantitative Usability Study (QUS) is a user testing tool which gathers insights and validates usability by using quantitative data from your target group. In this service, testers from your target group will be asked to use core features of your digital product and take part in a quantitative survey.
QUS is typically used to get feedback on the usability and design of your digital product – for example in comparison to a previous release or a competitor’s product.
In contrast to qualitative studies, quantitative methods measure the UX of your site through numbers such as satisfaction ratings, task-completion time, or task-completion rate. Quantitative methods help you answer questions like “How many?” or “How much?”.
Unlike qualitative data, quantitative data helps you connect the user interface design of your digital product to numeric data. This way, you can make decisions based on statistically significant facts and measurements, rather than on gut-feeling or hypotheses. This helps you develop digital products with a user-centered design.
Usability is defined as the extent to which a product can be used by specified users to achieve specific goals with effectiveness, efficiency, and satisfaction in a specified context of use (ISO 9241- 11). This means you need to measure three things to make an educated statement about the UX design of your digital product: effectiveness, efficiency, and satisfaction.
Effectiveness is commonly measured by success rate – the percentage of users who managed to complete the given task successfully.
Efficiency can be tested by calculating the average time it takes to carry out a specific task.
Satisfaction, another important aspect of your user research, can be calculated by asking users to rate their satisfaction on a scale from 1 to 7, for example.
Benchmark tests we offer
Net Promoter Score (NPS)
NPS is one method in software testing to gauge the satisfaction of your users.
Net Promoter Score is calculated on the question of how likely it is that a customer would recommend a company, product, or service to a friend.
Single Ease Question (SEQ)
As the name suggests, SEQ is based on one single question which asks the users how difficult it was to complete the given task. The scale ranges from 1 (very difficult) to 7 (very easy).
User Experience Questionnaire (UEQ)
UEQ measures the attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty of a digital product.
AttrakDiff helps you record the perceived pragmatic quality and hedonic quality of your digital product. It consists of 28 prompts of opposing adjectives (easy – hard, confusing – clear, ordinary – novel, and so on).
System Usability Scale (SUS)
SUS is a simple and technology-independent questionnaire that helps you assess the usability of a system. It consists of 10 questions on a Likert scale (statements that respondents agree with or disagree with on a given multi-level response scale).
Standardized User Experience Percentile Rank Questionnaire (SUPR-Q)
SUPR-Q is used in user experience research to measure the UX of a website with a questionnaire of 8 questions.
In addition to these benchmarks, common metrics such as effectiveness (percentage of users able to successfully complete the use case) and efficiency (time taken for a user to successfully complete the use cases) can also be measured.
It’s very important to know that all quantitative usability methods need a reference point to produce valuable results. That means that you need a given KPI which is suitable as a comparative value. This could be a finding from a former webpage test or an industry standard – such as the average SEQ score which is around 5.5.
We provide you with the latest insights from the world of crowd testing
Stop guessing if your product meets the expectations of your users and start making decisions based on facts.