For SaaS products, Gainsight's product experience software enables companies to track every step of their user's journey and fully understand how they're interacting with a product over time.
$0
100 or less MAUs (Monthly Active Users)
Quantum Metric
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
Quantum Metric is designed to help organizations build better digital products faster. Their platform for Continuous Product Design gives business and IT teams a single version of truth which the vendor describes as fast, quantified, and grounded on what customers actually experience. The solution ultimately aims to help teams agree on priorities, build products customers love, and innovate with speed and confidence.
I have used and evaluated a few similar products to Gainsight PX, including Appcues, WalkMe, and Pendo. I found that Gainsight PX was the most comprehensive and user-friendly platform, offering features such as customizable onboarding flows, product usage tracking, and …
We leaned towards Gainsight PX because of the tight integration with Gainsight. Implementations were somewhat similar but the ease of mapping for all features and modules was superior for PX.
It's been a couple years since I've used Pendo and admittedly we were not set up in the best way for Pendo to work like we have PX. Specifically I am referring to how our elements were tagged.
That being said, here is what I recall as main differences:
The feature on Gainsight PX are easy to understand and implement in the solution, the pricing is also very competitive and functionalities like Customer health score, Customer monitoring, playbooks, surveys etc helps us to provide great insight to the team.
Heap has a great value proposition and very nice user experience. But it lacks the clear funnel analysis that Gainsight PX provides. Plus Heap also does not have integration with a lot of CRMs and Customer data platforms. Also, Additionally if you go in the market to find Heap …
I did not select Gainsight and we recently switched some of our products to other software which give us better targeting options but are more difficult to implement.
Mixpanel was much less mature when we ditched it for Gainsight, and the Salesforce integration was very important to us, and Gainsight was the main service that offered it at the time. Mixpanel is probably better today if you look at the big picture, and don't need a specific …
Churnzero is similar in its NPS and walk-through abilities as is user IQ but neither fits in the exact same category. Px is unique to anything I've used for the data extraction it offers. It's not a CS tool like those I mentioned but it is easily the best in terms of tracking …
HelpHero is a very flexible and powerful walkthrough tool. We've used it alongside PX. We still use PX for most customer messages, CES surveys, and in-app badges.
I also evaluated Pendo, WalkMe, and a few other DAPs.
Between the products analyzed, Pendo and Gainsight PX were most complete/mature. At the time, Pendo's UI seemed more intuitive than Gainsight PX. Chameleon and Appcues seemed easiest to use, but were lacking some of the functionality we were looking for. Ultimately chose …
Working with both Gainsight PX and Mixpanel, my experience has been that the integration of Gainsight PX was much easier. Additionally controlling profiles and personas to make sure each group is getting the data they need, and only the data they should see, is easier with …
The main reason is that Gainsight PX offers a perfect combo - analytics and customer engagement. That allows us to make the engagement contextual, based on real-time analytics results.
WalkMe: while the in-app engagements were powerful, there was no email capability, and the analytics were an afterthought (rather than a core part of the solution). WhatFix: the concept was great; the in-app engagements could be made into documentation and videos. However, we …
It is used for different functions; Quantum Metrics shows great advantages in the control and administration of data generated by a website. It allows the report and knowledge of online records, also the errors registered. Recordings of login sessions on web pages help resolve …
Quantum Metric has unmatched support and is easy to use. The simple data visualization gave us an excellent analysis on specific pages and was a game changer. In other words, other tools may offer the same, but that's all. An easy-to-understand breakdown of how customers spent …
its well suited for the environments for the workloads of huge transactions,huge I/O,avoiding delays for the workloads which need immediate attention with great workflows.For the great transformations and data mining it would be helpful,for great customer behaviorial, it would …
Impressive interface to help me with getting a detailed journey of where my user is and clearly define the challenges these users face while moving from one step to another, backed with data points.
Other tools might provide the tool in a very similar way, but that's it. Quantum Metric actually helps remove the abstraction from the data, their support is available in a very fast manner, they help us set goals and reach them, also helping us track them through the tool. …
Quantum Metric is more sophisticated than Hotjar in every way (also much more expensive). If you've been using Hotjar and are ready for the next level of service, you should investigate Quantum Metric. However, if you have been using Hotjar and the service provides everything …
Quantum Metric is a huge leap up from Mouseflow, which is very basic. Quantum offers more filters so I'm not sifting through thousands of recordings to find one or two. My organization uses Adobe for our everyday analytics and not Quantum. They do different things and I don't …
Quantum's support is unmatched, and implementing new tracking is a breeze. Quantum makes it easy to dive beneath the numbers and see the customer sessions behind them. It enables more empathy and behavioral understanding. Quantum's visualizations aren't as easy to use, and the …
In other tools we cannot see the user journey, in other tools we need to write multiple queries but here the choice of filter is very easy. We can easily filter out the required data without any complicated query. It shows the customer journey like a video and we can play it …
Quantum Metric feels a lot better when used. It is much smoother and seems much more reliable. It does not get stuck as much and finds the sessions a lot quicker.
I have used other tools like Dynatrace. Quantum Metric is better suited to look for errors and spot issues in user sessions, it has a more friendly UI.
The biggest QM advantage is that you can see customer's actions on the live preview and almost immediately. So you can catch customers up, on the session, while the customer is still using your portal. There is a lot of information provided on the session, like API calls and …
Manager, Measurement Strategy and Data Architecture
Chose Quantum Metric
We were using Clicktale at the same time as Quantum for Order Form Optimization recommendations but found that the amount of time invested and the quality of the tool from Quantum just seemed like a better fit for our organization.
It’s a robust tool that allows you to easily map and track key features and actions within your products. It also allows for in app communications to help guide the user through the path you want them to follow. The ability to connect with Gainsight CS also allows you to leverage that data to drive actions for the account team, incorporate it in health scoring, and use it to trigger digital programs. You do need a well thought out strategy for management of the platform, the data and how you will use it.
If you're looking to go beyond session replay and have a tool with intelligence to show you specific issues, and prioritize those, I think this is a good tool. Retailers that have had ups and downs, and are maybe seeing an increase in their online traffic/sales, who want a better view of how to improve the customer experience. You need a fairly mature digital analytics environment for this to make sense. If you have a more basic analytics environment, or you don't have the people/skills to use all the information QM can provide, it's probably not a good fit.
Mapping your product is easier with PX than with Google Analytics (mapping your product makes usage data appear as hits on mapped URLs, buttons, etc)
PX is good at showing simple messaging popups to customers.
PX Badge functionality—a persistent hover- and click-enabled popup launcher, positioned on select pages and attached to select elements—works well as a self-serve resource for users. It can be unobtrusive yet right there when needed.
PX modal content is fully editable HTML with plenty of flexibility.
Audience filters are really powerful. You can target users by many built-in and dev-configurable attributes, like device-type (which helped me work with mobile web users), browser, account, parts of the application visited/used in the last day, and many more.
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.
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
It is a good product, but like with every product, there is room for improvement or even just things I, as a user, would prefer, such as the ability to click on a company and have it go to Salesforce instead of Insight. It can also be difficult to find certain reports.
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.
I have not had to contact support frequently but when I have I used the chat and my questions were answered immediately. I've also used their knowledge center, help documentation and training videos which are all very thorough. The support we've received from our Customer Success Manager has been helpful as well.
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.
I have used and evaluated a few similar products to Gainsight PX, including Appcues, WalkMe, and Pendo. I found that Gainsight PX was the most comprehensive and user-friendly platform, offering features such as customizable onboarding flows, product usage tracking, and automated customer success workflows.
Quantum Metric has unmatched support and is easy to use. The simple data visualization gave us an excellent analysis on specific pages and was a game changer. In other words, other tools may offer the same, but that's all. An easy-to-understand breakdown of how customers spent their time is provided. It makes it easier to empathize with others and understand their behaviors. Quantum Metric offers the whole package, unlike other tools.
Customer Sentiment. Customers have been excited when we can show them data around usage and where we can improve.
Deciding to remove features. We have used PX to identify features that have little to no usage which allows us to get rid of unnecessary process and maintenance.
Identifying areas of improvement. We are able to find areas of our product that we need to focus on improving where previously we would have missed or had a tough time justifying spending time and resources.