Acoustic Tealeaf (formerly Acoustic Experience Analytics and before that IBM Tealeaf; Acoustic has restored the former branding), is an AI powered application providing site visitor session recording and replay, anomaly detection, and struggle analytics.
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Fullstory
Score9 out of 10
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Fullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.
Tealeaf is a must for any site that has a key business process that drives revenue for a company. It is not limited to only capturing a small percentage of visitors to your site, it captures every visitor to your site. A lot has changed to the last year for Tealeaf for the good. There are many more options to for capturing data including a cloud and SaaS offering. Take a look again if you haven't seen it in a while.
It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.
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
Speed of searching for web sessions and users. This particular feature seems to impress me the most. When researching incidents where users report to have difficulty on our site, all we need is any of the unique identifiers of a user (email address used, IP address, user id) and we can locate their session(s) almost immediately in TeaLeaf.
Multiple conditional events - I really like how we can have events contain already existing events. This helps a great deal if issues being researched become even more complex.
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
IBM is still working out a solution for seeing Mobile App traffic in Tealeaf. What they have now allows you to see the response and request, but it doesn't show where the customer is actually clicking. They've promised that newer versions will be better with this.
Tealeaf is pushing a web based viewer, trying to make this the standard over the more robust and extremely useful desktop based Tealeaf Viewer. the Web Based viewer is slow and clunky and just not as flexible, but IBM insists on pushing customers towards it. Last I heard, they plan for their mobile solution to only work in the web based viewer.
Recently IBM moved all the support documentation for Tealeaf to the IBM Support portal instead of Tealeaf.com where it has been for years. This completely broke the in application Tealeaf Help. At the time of my last use of Tealeaf near the end of November 2013, when you tried to search help from the Tealeaf web portal, you were sent to the IBM support site, and once you logged in, the search request was lost and you had to start the search again. The search of the help files is also nowhere near as good as the original tealeaf.com help site. Also, if your users tried to use help, they were out of luck because only the Tealeaf Admins have access to the IBM support portal. At first they insisted that they were not going to fix this for older versions of the software, but instead only release a fix when the next version of Tealeaf was release. There was a large discussion about this on the LinkedIn forum and IBM has said they're working on a solution, but I'm not sure when/if that will get release.
The ramp-up time to learn the entire product can take a little while. There are just so many absolutely wonderful tools and different ways to look at the same type of information that it can take a new user a few weeks to understand and then more time to master. However, FullStory has a ton of training resources to help with that! A lot of my own teammates have taught themselves FullStory through those training resources.
The UX of the product is totally wonderful, but there are tiny things that make getting to certain parts of the product slightly more challenging (like clicking into a modal in a modal). Sometimes buttons or links are placed out of my field of view, but those are minor things I notice because I work in UX.
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
Tealeaf is a scalable product that works with complex user-facing environments. It is one of the leading products in the market that helps identify user pain points and increases defect identification. The user interface is simple, clean, and easy to use. Lastly, Tealeaf Support provides good customer service and is eager to help solve chalenges we face along the way.
It's been a phenomenal tool for us; every department that uses it has found something new and unexpected that it can do that they're really excited about. Even if we *only* used it for bug triage, it would be worth our time and money. The fact that we can use it for so many other things as well--gauging how customers interact and use our site, identifying UI problems, etc.--is above and beyond
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
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
They have been overall pretty responsive and proactive. The tool is pretty straightforward to use. Most of the questions we have had to work with them on our how to use new features or adjust our integration to ensure we are gathering all the data from all of our tools.
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. TR verified that a representative sample of customers was invited. More Info
To successfully implement FullStory, it is important to plan your implementation carefully by defining your goals and user segments. You should also use tags and filters to analyze your user data, train your team to use FullStory effectively, and use FullStory in conjunction with other analytics tools to get a more complete picture of your user's behavior. By following these tips, you can gain valuable insights into your users' behavior and experiences, and use this information to improve your website or application.
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
Smartlook is software that records users on a website and mobile app. Finding useful information within thousands of recordings is made quick and easy with features that help you accomplish this. I have chosen FullStory because it is easier to use and has more advanced features compared to Smartlook.
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. TR verified that a representative sample of customers was invited. 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
