Contentsquare is an enterprise experience intelligence and Digital Analytics platform designed to track, visualize, and optimize user journeys across websites and mobile applications. The platform captures digital interaction telemetry—such as clicks, scrolls, hovers, and page drop-offs—without manual event tagging to power Web Analytics, session replays, funnel visualization, and experience monitoring.
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TensorFlow
Score7.6 out of 10
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TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
Hotjar is good for a first pass at understanding user sentiment or locating potential usability issues. There are features such as "rage clicked" which shows recordings or instances when a user rage clicked or had an issue with your site. Hotjar has also been helpful to launch intercept surveys on mobile, desktop, and app, which not all competitor software allow. Hotjar recordings are fun to watch. "Watching Hotjar like Netflix" is a favorite pastime at work.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Heat mapping is great on Hotjar. It is a good place to start when you are looking at the UX & CRO on your website. You can see the % of people clicking on elements on a page, how far they scroll, and mouse movements.
Hotjar is great for session recordings. These record the mouse movements, clicks, pages and scrolls of a user in video format. You can watch these to investigate what works well on a site and identify potential roadblocks and bugs.
Hotjar is great as it ensures that users details are anonymous; for instance, if you are watching a session recording, you cannot see what a user types in a form field, as Hotjar blanks this out.
Hotjar has a poll function, so you can have polls on your website.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
For small companies with limited user testing budgets, ClickTale serves as a useful user testing tool. When I cannot get the funds for in depth user testing, I always know that I have a baseline of information I can rely on
It is fairly easy to use, easy to explain, and easy to learn even for a non-techie like me. I admit I was a little intimidated when it was recommended by my developers, but I learned afterwards that there really was nothing to worry about. My experience has been awesome so far!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Hotjar is a SaaS-based company, and as such has a good support service. Users can quickly submit support tickets through Hotjar's online portal. Enterprise customers get access to additional support members and have SLAs to support their larger, more complex needs. Overall, Hotjar is extremely reliable and I've never had to reach out to customer support.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
ContentSquare [(Clicktale)] is going deeper on UX understanding than traditional web analytics tools. You can truly understand how a page is used (where users click or even miss click, on which part of the page they are spending most of their time, if some links are clicked but bad positioned on the page...), and that's a thing you can't really measure trough a traditional web analytics tool.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our UX team can now use hard data to back up and validate design decisions that we make. Our role as usability experts is becoming more respected and integral to business objectives because we now have data that can back up our field of study and prove that our roles are demonstrably useful and necessary.
HotJar allows our small team of 3 UX designers to get research data as if we were a much larger team. Instead of painstakingly using our time to do guerrilla research, endless user observations, and other types of manual testing, we can now get a significant portion of our data from HotJar.
Using HotJar is actually giving our team a sense of excitement and enjoyment in our day-to-day usability work. Instead of seeing UX as a chore, HotJar is making data gathering and analyzing more fun, because we can see tangible results from a much larger pool of user/user-data than we could in the past.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
