Skip to main content

Catchpoint Introduces User Sentiment Monitoring and WebSee.com

Catchpoint has added "user sentiment" to its advanced monitoring platform, combining Synthetic, Network, Endpoint and Real User Monitoring capabilities.

This new integrated capability provides enterprises with broader insights into the overall health and performance of all their digital services and applications, ensuring excellent user experiences.

“In this rapidly expanding global digital economy, companies must deliver great user experiences to their customers and employees to be commercially successful. Business success is synonymous with high quality of user experience. For that reason, improving that experience is a top business priority,” said Mehdi Daoudi, CEO of Catchpoint. “User sentiment is all about monitoring and analyzing what users say and feel about your service, so it’s a critical component of DEM. With the integration of user sentiment into our platform, companies can now leverage the most complete telemetry, to increase visibility and context, resulting in fewer blind spots and a faster way to resolve digital performance degradation.”

Additionally, Catchpoint announces WebSee.com a free resource that leverages the same user sentiment capabilities designed to help organizations and users respond to, and better deal with, service outages. WebSee collects and analyzes global user sentiment data that is then verified by Catchpoint’s platform. Users can self-report issues with a website directly on the site or download a Catchpoint browser extension, which collects user metrics for any web app, and can report these metrics in real-time.

This free solution is delivered through three core capabilities:

1. User sentiment analysis: Collects and analyzes global user sentiment data

2. User self-reporting: Users can self-report outages or performance issues directly on the WebSee site or via a free browser extension

3. Verified by Catchpoint: Significant outages or performance degradations reported by users will be verified by Catchpoint and will be reported on WebSee.com

Catchpoint DEM platform customers will have access to the new user sentiment capability in mid-summer 2020.

WebSee.com is available now for anyone. WebSee browser extension will be available in the Chrome WebStore within the next few days.

Hot Topic

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...

Catchpoint Introduces User Sentiment Monitoring and WebSee.com

Catchpoint has added "user sentiment" to its advanced monitoring platform, combining Synthetic, Network, Endpoint and Real User Monitoring capabilities.

This new integrated capability provides enterprises with broader insights into the overall health and performance of all their digital services and applications, ensuring excellent user experiences.

“In this rapidly expanding global digital economy, companies must deliver great user experiences to their customers and employees to be commercially successful. Business success is synonymous with high quality of user experience. For that reason, improving that experience is a top business priority,” said Mehdi Daoudi, CEO of Catchpoint. “User sentiment is all about monitoring and analyzing what users say and feel about your service, so it’s a critical component of DEM. With the integration of user sentiment into our platform, companies can now leverage the most complete telemetry, to increase visibility and context, resulting in fewer blind spots and a faster way to resolve digital performance degradation.”

Additionally, Catchpoint announces WebSee.com a free resource that leverages the same user sentiment capabilities designed to help organizations and users respond to, and better deal with, service outages. WebSee collects and analyzes global user sentiment data that is then verified by Catchpoint’s platform. Users can self-report issues with a website directly on the site or download a Catchpoint browser extension, which collects user metrics for any web app, and can report these metrics in real-time.

This free solution is delivered through three core capabilities:

1. User sentiment analysis: Collects and analyzes global user sentiment data

2. User self-reporting: Users can self-report outages or performance issues directly on the WebSee site or via a free browser extension

3. Verified by Catchpoint: Significant outages or performance degradations reported by users will be verified by Catchpoint and will be reported on WebSee.com

Catchpoint DEM platform customers will have access to the new user sentiment capability in mid-summer 2020.

WebSee.com is available now for anyone. WebSee browser extension will be available in the Chrome WebStore within the next few days.

Hot Topic

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...