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    Frequently Asked Questions

    Loop11 is an application that lets you run your own usability studies without the need for a usability lab, specialized equipment and a moderator. Simply determine the tasks you want to test on your website, recruit some participants and launch your study. Loop11 does all the rest and provides you with real time data giving you an understanding of the usability of your website and where you need to improve or make changes.

    Usability testing is a technique used to ensure that the users of a website (or interface) can carry out the intended tasks efficiently, effectively and satisfactorily.

    On the web, usability is a necessary condition for survival. If a website is difficult to use, people leave. If the homepage fails to clearly state what a company offers and what users can do on the site, people leave. If users get lost on a website, they leave. If a website’s information is hard to read or doesn’t answer users’ key questions, they leave. Note a pattern here? There’s no such thing as a user reading a website manual or otherwise spending much time trying to figure out an interface. There are plenty of other websites available; leaving is the first line of defence when users encounter a difficulty

    Qualitative usability testing has traditionally been based around small sample sizes of 5-20 participants. However, the growth of online testing tools and quantitative usability research is changing the game. Whist many experts agreed that for qualitative, lab-based testing small samples sizes of 5-20 participants is sufficient. Online user testing has created a new wave of analysis such as benchmarking, A/B testing, competitor comparison, validating and much more. These kinds of quantitative analyses require larger numbers of participants to validate the data.

    For example: Let’s say your company is testing two different versions of wireframes so management can decide and approve one to implement and allocate resources to. It would not be very good practice to use 10 participants and get a 60%-40% success rate. It would be very hard to validate a study and implement a strategy based on 10 participants. However, if 500-1000 participants were used, that data would be a lot more accurate, and management would have valid data to approve of the findings.

    The maximum number of participants you can have in a Loop11 project is 1,000.

    1. Determine what you want to test: What parts of the application and what functions.
    2. Why are you testing?
      • Do you want a benchmark of usability and performance?
      • Are you trying to find and fix as many usability problems as possible?
      • Are you comparing an application with a competing product?
    3. Write a minimum of 5-10 task scenarios that have users attempting realistic tasks in which they interact with the parts of the application you want to test.
    4. Recruit a set of users to test. At a minimum aim for between 50 and 100 in total. For goal 2b, test a subset of your users as part of an iterative testing approach.
    5. Launch your project.
    6. Analyze the results.

    The moment a participant completes an evaluation, the responses can be viewed and reports are generated. Our reports make it easy for you to see how well each task is performed by your participants.

    • Understand what percentage of participants have difficulty navigating your website
    • See where participants are failing your most important tasks
    • Dive into individual responses to view details of a particular participant or to read the comments of open-ended questions.
    • View heatmaps showing you where participants click on an individual page
    • Generate clickstream data to see how participants really navigate your website.

    Loop11 provides the fastest and easiest way for you to set up and run a usability project. You could have results back within 24 hours! There’s no code to insert and no IT or usability knowledge required. Our step-by-step approach will guide you through the process, but we’ve got awesome support available if you need it

    The difference between quantitative and qualitative research is often explained using contrasting terminology, like “hard vs. soft”, “numeric vs. non-numeric”, “statistics vs. insights”, “measure vs. explore”, “what vs. why”.

    Broadly speaking, quantitative research can provide path and performance analyses by capturing the “what” of user behavior. It enables you to study your users’ experience by the numbers (e.g. how many people were able to buy a product successfully on my website?). In contrast, a goal of qualitative research is to gain valuable insight into the thought processes – the “why” – behind user’s actions.

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