Nexthink Infinity Platform

When I was working from the service desk front for Nexthink , my main use case involved manual troubleshooting focused on maintaining the compliance of the system. We were able to take out more than 20 remote use cases and convert that to remote actions, which are now used as troubleshooting done remotely from Nexthink . Additionally, my major use case is about the RAM upgrade for the improvement of device performance on the machines.

I have additional main use cases with Nexthink, including working on system free space, logon speed, and the factors impacting the DEX score negatively such as logon speed, system drive free space, and swap rate of the machine. For system free space, we are trying to utilize the storage sense of Windows, and for logon speed, we are analyzing the events being captured and the time taken for policy upgrades. We are also focusing on application-related scenarios to understand how widely used applications impact the digital experience of end users.

The best feature Nexthink offers, in my opinion, is having all the endpoints and all the data available in one place. When a user reports an issue they are not sure about, I can access the platform to see what is causing the problem through the device timeline option in the device view, whether it is the last restart time, application usage, or crash occurrences like a BSOD. I have encountered scenarios where the user faced issues simply because they had not restarted the system or the drive space was critically low and only required clearing cache files on their system. Utilizing Nexthink allows us to create remote actions to clear system cache files efficiently.

One noteworthy feature is the Amplify extension for the ServiceNow  tool, which simplifies processes for technicians without extensive training. Instead of needing to guide each technician through our portal, the Amplify feature allows remote actions to be run directly from ServiceNow  due to ITSM  integration, which has been very helpful. Additionally, dashboards assisting with software licensing have proven beneficial, helping me understand the utilization of Microsoft licenses assigned to a team of 30 people, allowing us to cut costs on unused licenses effectively. These features distinguish Nexthink from other products I have encountered.

Nexthink has positively impacted our organization as it serves the entire fleet, not just individual projects. In our environment, its focus is solely on machines rather than users or specific work, making productivity linked to having a well-functioning system. It provides a common platform for understanding device performance and addressing issues, which I leverage as a Nexthink Digital Experience Analyst to present data-driven insights on machines experiencing RAM issues. This data is instrumental when communicating with the LTS team about necessary RAM upgrades, as I can present clear insights based on operating system data, reducing conflicts regarding understanding. The visibility Nexthink provides ensures that everyone can utilize data to address issues or recognize what is functioning well. This capability fosters collaboration among different teams, providing a transparent, data-driven basis for decisions, thus enabling teams to align on common metrics and monitor application performance effectively.

The structure of the data, particularly regarding raw data or outputs and binaries, requires improvement as it is not very clean and demands significant manual effort to sort.

I have been using Nexthink for more than four years, starting from the deployment phase for our company in November and December 2021, and I have been continuously working with Nexthink.

When we worked on compliance issues, we reduced incidents related to patching and polling by 70%, amounting to around 4,000 incidents per month. We also identified and tackled execution crashes, managing to decrease them by 72% after understanding which binaries were causing the issues. Regarding memory upgrades, we analyzed machines with DEX scores below 30 and observed an average increase from 26 points to 59 points across a sample of 40 to 50 machines, reflecting a considerable improvement of 28 points.

Regarding Nexthink's scalability, I find it great. However, my experiences with customer support have been limited, and I do not think it is outstanding. Often, when I encounter conflicts, the responses seem to either rely on AI tools for answers or they claim the information cannot be shared due to confidentiality.

I definitely advise adopting Nexthink because it consolidates all data points in one place, providing data-driven insights that outperform human analysis, making it a valuable tool for anyone considering its implementation. I would rate this review with a rating of 3.

My main use case for Nexthink  is remote actions for specific tools, which I use for basic troubleshooting and checking the user's machine.

A quick specific example of when I used Nexthink  for troubleshooting is when I observe that a machine is running very slowly. I check the performance of the machines using Nexthink, which helps me clear the cache and cookies, as well as remove the temp and prefetch files.

Additionally, I check company-wide how the machines are performing and what exactly is causing the issues and failures.

Nexthink has positively impacted my organization significantly, as I experience considerable time-saving when interacting with users, and the billing is also very effective, making it useful for most of our team members.

Time savings with Nexthink are very helpful, but the money-saving aspect is managed at the organizational level, and we are not certain about those details.

The best features Nexthink offers in my experience include the ability to analyze all machines as well as the specific remote actions that I can utilize.

The remote actions feature is valuable because if a machine is performing slowly, I can clear the temp and prefetch files. We have created many remote actions for time-saving purposes, which I use on a daily basis.

Regarding time savings, if I were to take remote control of the user's machine using any other remote action tool and troubleshoot it, it would consume a lot of time. Using Nexthink's remote action feature, I simply need to initiate the command, and it runs in the background without taking control of the user's machine, making this very flexible.

Nexthink can improve by incorporating multiple tools. While the current state of Nexthink is good, interactive AI would be more helpful, which is what I am expecting.

As for needed improvements, I do not have much more to add beyond this.

I have been using Nexthink for three years.

Nexthink is very stable.

Before choosing Nexthink, we did not evaluate other options. We used Bomgar as a remote action tool, but we are still using that alongside Nexthink.

The advice I would give to others looking into using Nexthink is that it depends upon their business requirements, so I cannot give them general suggestions. I would rate my overall experience with Nexthink a 9 out of 10.

Nexthink  is used to monitor endpoints like servers and Microsoft Windows devices, creating alerts for them if there is any binary crash or device issues, and then proactively resolving those issues.

I found there were many issues with disk space on the endpoint, and in my projects, more than 50% of devices were experiencing common device issues. I used Nexthink  to clean profiles that were older than 30 days. This use case has helped me considerably, and we were able to increase the score for Nexthink.

I use Nexthink daily to view reports through the dashboard to see how things are performing. I observe what is happening in my environment, find these issues, and provide reports to my SCCM and Intune  team. Accordingly, I connect with the EUC team, helping them by clearing data. There are many use cases, and daily, I remain proactive regarding various aspects including applications and different telemetry data such as endpoints, applications, networks, and user data.

Nexthink has positively impacted our organization by enabling us to properly perform OS upgrades and other Windows updates by clearing spaces and being proactive for applications and endpoints. This helps us considerably, as it is not only assisting the users but also the endpoint EUC teams. It is very useful, and the clients are happy; they want more and more, and we inform them about what is coming.

After creating use cases for my environment, I usually check the past tickets and next month's tickets and compare them. I found it very useful, and we have reduced the number of tickets for my service desk team, as they are receiving fewer tickets for password resets. This is very helpful in the case of incident tickets compared to the use cases. Additionally, users are feeling happy because they are proactively receiving alerts that are very good, and we configure them according to our needs. It is not basic, normal, or boring alerts; the users are also connecting with the IT teams and Nexthink team, providing their data, and accordingly, we are helping them. Nexthink is not only proactive, but users are also providing their data, which is beneficial.

We are saving a considerable amount of time for our service desk staff. We are clearing 60 TB of data from 15,000 user accounts, which I believe is very effective. It is saving man-hours, as we can schedule tasks to clear data automatically. This is very helpful, saving both time and money since we are not deploying resources for that function. Nexthink alone is helping considerably, and we are clearing more than 50 TB of data per month using our use cases.

The best feature of Nexthink combines endpoint data, providing the DEX Score, Digital Experience Score, by combining both the endpoint score and user sentiment score, which is a best feature for Nexthink.

Regularly, whenever I see the scores, by examining the scores, I can determine if devices are performing well and how the users are feeling. Accordingly, I can be proactive and create scripts, which is how it is helpful.

There are many more features in Nexthink, including support for mobile devices apart from endpoints such as laptops. Now, we can also see who the support engineers are who are working on many other things, helping them resolve issues on their mobile devices. These features are very helpful, as well as features including AI tools where we can monitor how companies are using AI tools. There are many features available.

Nexthink can be improved. From my experience with Workspaces, there is a component called Workspaces, and I believe there is an AI performance issue. After three to four prompts, it is not providing proper data, in my opinion, as I usually do not receive good, proper data from the prompts.

I have been using Nexthink for the last two years.

Nexthink is very stable from my experience.

Nexthink's scalability is good; we can scale at any time if we have the licenses. In that sense, it is scalable and very useful.

Whenever my team has to reach out to Nexthink's support team for help with technical issues, troubleshooting, or general inquiries, they are very helpful.

I have used 1E  Tachyon before Nexthink.

I would give one recommendation and one tip: I would ask others to focus on the data. They need to understand the data and classify it properly while creating the dashboard or something similar. They have to set up user data, endpoint telemetry data, and then they can investigate or set up alerts for the application data. By also investigating the networking data, this is how I would recommend creating alerts, dashboards, and other things. Then they will be able to use Nexthink properly and be proactive. I would rate this review a 9.

My main use case for Nexthink  is orchestration, and I use Nexthink  for dashboards, explore analysis, proactive management, and problem management. I effectively use it for services agents to minimize their day-to-day operations.

A specific example of how I have used Nexthink for orchestration and proactive management is that Nexthink is effectively being used in my former client. When it comes to application deployment via Intune , the automation has been in place along with Nexthink. Nexthink detects the application status post-deployment and then reports back the status to the ServiceNow  tool, indicating that the application has been successfully delivered so we can close the ticket.

Apart from that, the recent features are impressive when it comes to VDI  and Autopilot.

Nexthink has positively impacted my organization as we effectively reviewed the proactive data. During the Windows 10  and Windows 11  migration, it helped considerably. For Windows device replacement, I have majorly focused on device preparations and eligible devices versus non-eligible devices. Many dashboards have helped me review data insights.

The Windows migration impact is that it has greatly helped in terms of the speed of the process and allowed me to focus time on only the eligible devices.

One of the best features Nexthink offers, in my opinion, is Workplace, the Tech AI within Nexthink, which allows me to capture significant data without knowing code. In natural language, I can capture substantial data within Nexthink itself, and anybody can start using Nexthink without needing to use NQL queries.

The Workplace feature and natural language capabilities help my team day-to-day because most management teams are using Nexthink and do not know about NQL queries or the backend of Nexthink to capture data. This is where Workplace Nexthink AI engine comes into play, and they only have to write the natural language expression for Nexthink to deliver that.

I have raised a concern in the forums regarding location-based campaign deployment. When I run campaigns, if there is a region-specific or location-based need for deployment, that would be helpful. However, this capability is not available based on time zones as of today.

I have been using Nexthink for more than six years.

The advice I would give to others looking into using Nexthink is that it is one of the greatest tools to capture data insights where most IT management is struggling. There is often no visibility on when a device was online or how much time it was there. These tools allow us to proactively make many decisions using Nexthink insights. I would rate this product a 9 out of 10.