Google Cloud AI vs. Quantum Metric

Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.

Incentivized

Quantum Metric is a true professional, and I love the level of insight and industry knowledge they bring to the table. We use it at the departmental level, including marketing, customer service, and IT. Session replay allows our data consumers to derive insights faster and easier than digging through data. It lets us see or understand how users feel and work to enhance those feelings. The quality of support and the time to respond are also noteworthy. They have great coverage, but the learning curve is very steep and requires a lot of technical support and hand-holding.

Incentivized

• good conversion from the voice to the text
• speed in the conversion from voice to text
• time-saving in the conversion activity
• analysis of the results of the conversion in real time

Incentivized

• Identifying user pain points and frustrations. Quantum Metrics has a data point called Rage Click which shows when a customer has clicked multiple times back to back on a particular section of the website.
• Replaying a session to see everything that is loading on the front end to the customer, as well as the backed end of the website, has been critical in troubleshooting the experience.
• Heatmaps are a awesome tool we have found very useful in showing engagement with different content on the page, how far user scroll & drop off and to see a split side by side view of the same page in an a/b test.

• Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
• Customization of existing modules and libraries is harder and it does need time and experience to learn.
• Google Cloud AI can do a better job in providing better support for Python and other coding languages.

Incentivized

• Quantum could share some use cases implemented by similar industries in accordance with the key problems as inputs.
• We should be able to see some of the most common solutions that could be integrated within our product based on the step of the user journey I am at.
• Expanding capabilities to integrate with high-level tools integrated.

Incentivized

We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.

Incentivized

Quantum is a nice tool and is user friendly however I believe there always room for improvement. We have experienced minor issues with a few sessions which were solved by Quantum support reps in a timely manner and some of the dashboards are not as robust as other tools we use

Incentivized

I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.

For a new user, it's pretty intuitive to onboard and start doing the basic functionalities. But QM has a lot of functionalities which can be leveraged by more team members (especially when you don't have analysts dedicatedly using this) if further enhancements to usability are made.

Incentivized

Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.

Incentivized

I've been very impressed with the support Quantum Metric has provided. Our amazing Customer Success team has provided excellent service and has gone above and beyond in helping us use and understand the tool. We hold weekly calls with multiple teams and QM has been proactive in bringing things to our team's attention and making suggestions. The support has been one of the most important aspects of having QM and has allowed us to make great strides in improving how we use data and user research in our work.

Incentivized

In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.

Incentivized

These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.

Incentivized

We have used - as an organization - multiple products that each fill a roll or task Quantum Metric provides...however I think there are very few tools or SaaS solutions out there that bundle so much into one solution. QM was better than the replay tool another group was utilizing (Mouseflow) because with our contract we could capture and review way more replays as well as have those replays married to actual, quantifiable data. From an analytics point, is so much easier to install event tracking as opposed to our basic Google Analytics implementation. However, I would still use GA as a primary record for measuring overall site performance since QM doesn't have robust product sales tracking. At one point we did review a competitor called Content Square. They seemed very focused on heat mapping.

Incentivized

• Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
• We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
• The ROI seems positive since we are full in with Google, and the tools come along with the functionality.

Incentivized

• The service is not cheap, so don't commit unless you're going to use it.
• Really improved our tech support process by allowing us to identify problems much sooner.
• Helped identify potential frustrations, which could be eliminated to reduce friction at checkout.

Incentivized