What are the best user testing platforms for remote usability testing?

Here are some of the best user testing platforms for remote usability testing : - testRigor: A generative AI-based intelligent test automation tool. - Lightster: A user testing and survey platform that enables product managers, designers and researchers to gather feedback from their target audience. - Userlytics: A remote user testing platform that allows you to build a study, select participants and gather UX insights. - UXtweak: A platform that amassed tremendous experience in UX research before building this platform. - Datadog: A platform that offers a plethora of critical application key performance indicators (KPIs).

For remote usability testing, the best platforms combine a range of features to facilitate comprehensive analysis and user feedback. Here are some top choices: UserTesting: Excellent for gathering user interviews and video feedback, with integrated analytics. Lookback: Great for screen sharing during live interviews and task analysis. Optimal Workshop: Useful for various types of tests and robust feedback collection. Maze: Allows for rapid testing and integrates well with design tools, providing detailed analytics. UsabilityHub: Specializes in quick, straightforward tests with efficient participant management and clear results.

For remote usability testing, some of the top platforms include: UserTesting: Offers video feedback from real users, detailed analytics, and broad demographic reach. Lookback: Provides live interviewing, user feedback recording, and real-time collaboration features. Optimal Workshop: Specializes in tree testing, card sorting, and first-click testing for information architecture. Userlytics: Allows for cross-device testing, multilingual support, and advanced branching logic. UsabilityHub: Focuses on quick design feedback, preference tests, and five-second tests.

Remote interviews have different benefits. They remove geographical limitations and it's possible to recruit a wider range of participants. They can also be cheaper than in-person sessions, and some users may feel more comfortable providing honest feedback at home. Think about sending users pre-interview tasks to better understand their thought processes. Prepare open-ended questions and actively listen to follow up. Look for video platforms with additional features. Screen sharing lets users show how they interact with your product, and recording allows for later review. Collaborative whiteboarding tools can enhance the session. (Miró, Notion, Figjam)

Doodle: Herramienta para coordinar horarios. Ventajas: Fácil de usar para encontrar horarios comunes entre varias personas. Airtable: Plataforma de gestión de datos. Ventajas: Flexibilidad para organizar y analizar datos de entrevistas. Ideal para: Crear bases de datos personalizadas para gestionar información de entrevistas. Otter.ai: Herramienta de transcripción automática. Ventajas: Transcripción en tiempo real, integración con otras aplicaciones. Ideal para: Obtener transcripciones automáticas de entrevistas para análisis posterior.

Screen Sharing is invaluable for capturing user behavior during the analysis phase. Screen sharing can be incredibly valuable if used ethically; we have to make sure the procedure for observing user interactions respects their privacy and consent. From a technical perspective, I always check the internet stability on both sides. We should not take it for granted that everyone has access to fast and stable internet; users might experience problems with internet stability across the world, which can affect their experience in screen sharing. Addressing these issues proactively helps maintain the integrity of the testing process and provides a more accurate representation of user interactions with your product.

Sometimes clients don't want to share their screens. When interviewing clients for research, I've also shared my screen and asked them to walk me through how they perform a task or workflow. Hearing clients talk me through the instructions added an extra level of information if they got stuck somewhere. Clients are a bit more quiet when sharing their own screen. Both ways of screen sharing were a valuable way to directly see clients use the application.

During the analysis stage, screen sharing is very helpful for recording user behavior. When used responsibly, screen sharing can be very beneficial; however, we must ensure that the process for monitoring user interactions respects their consent and privacy. Technically speaking, I constantly verify that the internet is stable on both ends. It is important to remember that not everyone has access to fast and reliable internet; users may encounter issues with internet stability anywhere in the world, which may negatively impact their screen-sharing experience. Proactively resolving these problems contributes to the integrity of the testing process and yields a more realistic depiction of user interactions with your product.

I agree the ideal platform should be able to record full screen and also choose tabs to show or hide also should be secure enough to not allow hackers see the record.

As a UX designer, I strongly believe that screen sharing capabilities are essential for observing how users interact with a product in real-time. Here’s why: Immediate Insight and Context: Real-time Observation: Screen sharing allows designers and researchers to observe user interactions as they happen, providing immediate insights into user behavior and potential issues. This live observation helps understand the context behind user actions and decisions Contextual Understanding: Seeing how users navigate the interface in their natural environment provides valuable context that can be missed in recorded sessions. It allows for a better understanding of the user's environment and how it influences their interaction with the product.

Task analysis is crucial in usability testing as it provides actionable insights into user interactions with your product. Look for platforms that offer task definition and tracking features, enabling clear instructions, timed task completion, and note-taking functionalities, facilitating a deeper understanding of user difficulties and areas for improvement.

Task completion analysis is one of the most common ways to go for usability testing, and - if well planned- can provide a lot of valuable insights into user behaviors and expectations. It allows us to identify pain points and areas of improvement, but also highlights what already works well on a design. One of the tools I've worked with for task analysis, is Loop11, which provides all the features needed to perform unmoderated usability tests and task analysis. The designer can define a series of tasks thats users need to complete and specify a success URL to track task completion. This tool also supports screen recording, allowing designers to observe user interaction and identify where they encountered difficulties.

As a UX designer, I believe task analysis is essential in usability testing because it provides insight into how users interact with a product to achieve specific goals. By assigning real-world tasks, we can observe users' workflows, identify pain points, and assess the intuitiveness of the interface. This method helps in understanding the user's mental model and expectations, ensuring the design aligns with their needs and behaviors. Task analysis also highlights any usability issues, allowing us to make data-driven improvements to enhance the overall user experience. It ultimately leads to a more user-centered design, improving satisfaction and efficiency

In usability testing, task analysis is essential because it offers practical insights into how users interact with your product. Seek for systems with task definition and tracking capabilities, which allow for precise instructions, timed task completion, and note-taking features to help with a better understanding of user challenges and areas in need of improvement.

Task analysis is so important in usability testing the platforms should offer options to take notes, filter, tracking features, enabling clear instructions, timed task completion, and note-taking functionalities, facilitating a deeper understanding of user difficulties and areas for improvement.

There is no design improvements with out real users feedbacks for this the feedback collection has to be effective to being shared and study for all the team involved in the project

Collecting feedback is another vital aspect of remote usability testing. Gathering direct input from users about their experiences allows you to understand their needs, preferences, and pain points. Using surveys, feedback forms, and user interviews, you can gather qualitative and quantitative data that provide actionable insights. This feedback is crucial for making informed design decisions and iterating on the product to better meet user expectations. Personally, incorporating regular feedback collection has significantly improved the user experience by ensuring that design changes are aligned with actual user needs.

Most user testing platforms include features for collecting feedback from participants. This can range from open-ended responses to structured surveys or questionnaires. Platforms like Validately offer robust feedback collection tools that allow researchers to gather insights from participants efficiently

For remote usability testing and feedback collection, consider using platforms like UserTesting, Lookback, and Maze. UserTesting provides video feedback from real users, Lookback offers live interviews and session recordings, and Maze allows for quick, iterative testing with actionable insights. To get the most out of these tools, ensure you ask clear, specific questions and create tasks that reflect real user scenarios. This will help you gather more relevant and actionable feedback.

I think it could be useful to have a comparison of different flows that the usability study participants perform and also the flow that the designers believed could be the "logical" way to complete the tasks in order to do an analysis on the real intuitive design and the background of the participants with their own experience in online or digital flows. Are they designers? Are they social media app users? Are they..? To cam group and know the users needs and motivations.

Some user testing platforms integrate with analytics tools like Google Analytics or Mixpanel to provide additional insights into user behavior. This integration allows researchers to correlate qualitative feedback from user testing sessions with quantitative data from analytics platforms.

User testing platforms typically offer features for managing participants, including recruitment, screening, and scheduling. These features streamline the process of finding and managing participants for usability testing sessions

Userlytics and Lyssna been quite useful for me. Optimal Worksop for IA. All are easy to use and to set up and reporting quite informative and cut short lots of manual analytics.

Another effective method for remote usability testing is A/B Testing. It involves comparing two versions of a web page or app to see which one performs better in terms of user engagement and task completion. This method is crucial because it provides data-driven insights to optimize user experience. For example, an e-commerce platform might test two different placements for a "Buy Now" button to see which version leads to higher sales. A/B testing has significantly helped me refine design elements and enhance user satisfaction by choosing the most effective options.

Eu realizei testes de usabilidades moderados e com ferramentas diferentes, é interessante se atentar em definir bem o contexto desta pesquisa, cenário para inserir o usuário que irá testar o seu protótipo e consentimentos, como grava??o da pesquisa para uso interno e tempo de teste. Se atentar com quantas pessoas irá estar no teste, além do usuário e o moderador, é importante n?o incluir de forma desnecessária muitas pessoas no teste, idealmente seria: 1 usuário individual que ira realizar o teste, 1 moderador e 1 escrevente (Anotar pontos importantes). Definindo um papel à ser desempenhado por cada um, traz fluidez e dinamicidade para o teste. Quanto a ferramentas para se utilizar para fazer o teste, podem ser inúmeras: Google Meet e Maze.