Sentiment monitoring in the SIGNLD admin panel

Sentiment monitoring is a feature inside the SIGNLD admin panel. Organization admins open it to see whether their team's AI sessions are trending positive or negative, and whether that activity is producing value, giving leadership a view beyond raw token counts.

Where it lives

Sentiment monitoring sits inside the SIGNLD admin panel, alongside the other organization-level views an admin already uses to manage the account. It is not a separate product or a bolt-on dashboard; it is one of the views available to whoever has admin access for that organization. The same underlying capability is coming to the SIGNLD extension for Claude, so leadership will eventually be able to see effectiveness and value per team against token spend from inside a Claude session as well, though today it lives in the admin panel.

For the wider context, see our guide to AI sentiment monitoring.

Who can open it

Sentiment monitoring is scoped to organization admins. It is built as a leadership and management view, not something every individual contributor sees by default about their own sessions or anyone else's. An admin looking at sentiment monitoring is looking at a team-level or organization-level picture, not opening a window onto one specific person's activity. In practice, that usually means whoever holds admin rights for the organization, which is often someone in leadership, IT, or operations, depending on how a company has structured its account. That scoping matters, because the purpose of the feature is to help leadership understand how AI adoption is going across a team, not to give any one admin a way to watch an individual's day-to-day conversations. If a company wants a broader group of people to see the same view, that's a decision about who holds admin access, not a separate setting inside sentiment monitoring itself.

Why it lives at the organization level, not the account level

Sentiment monitoring is built around the organization and its teams, rather than around any single account's individual activity. That design choice follows directly from what the feature is for: helping leadership understand whether AI adoption is working across a team, not helping any one person track another person's day-to-day conversations. It also means the feature reads naturally alongside the other organization-level views already in the admin panel, like license usage or connected systems, rather than sitting apart from them as something different in kind.

What is on the screen

The admin panel view shows whether sessions across a team, or across the organization, are trending toward positive or negative sentiment over time, alongside the volume of activity that trend is based on. The framing is comparative and directional: is sentiment moving up or down, and for which team, rather than a single static score presented without context. An admin can typically look at this by team, which is what makes it useful for spotting where something is working well and where something might not be.

The intent behind the screen is to put a value signal next to the activity numbers an admin might already be tracking, like session counts or token spend, so that the two can be read together instead of activity being read on its own.

That pairing is deliberate. A screen that only reported activity would leave an admin guessing at whether high usage was a good sign or a symptom of people struggling and retrying. Putting the value signal next to the activity number removes that guesswork, at least at the level of "is this worth a closer look."

How this fits into an admin's regular routine

For most admins, sentiment monitoring is not something checked constantly. It fits more naturally into a recurring check-in, alongside other organization health metrics an admin already reviews on some cadence, whether that's monthly or as part of a broader quarterly review. Checking it on a schedule, rather than only when a complaint prompts someone to go look, is what makes the feature useful as an early-warning signal instead of a reactive one.

What a reading means

A positive trend suggests that a team's AI sessions are, on the whole, landing the way they're supposed to: people are getting answers or outcomes they find useful. A negative trend, or a shift from positive to negative, is worth treating as a prompt to look closer at that team specifically. It might point to a gap in how the team was set up to use the tool, a mismatch between the questions the team needs answered and what the tool is actually good at, or something else worth a conversation with that team. For a broader look at how to interpret a value signal from sessions, see how admins measure the value their team gets from AI sessions.

It's also worth reading a shift in context. A move from positive to negative sentiment right after a team's onboarding, for instance, reads differently than the same move six months into steady use. The first might point to a rollout that needs more support; the second might point to something that changed in what the team is being asked to do with the tool.

What it does not prove

A sentiment reading does not prove what caused a shift. It is a signal that something changed, not a diagnosis of why. It also is not a transcript view; an admin looking at sentiment monitoring does not see the individual conversations behind the trend, only the aggregate signal across sessions for that team. It is not a way to evaluate an individual employee's performance, and it is not a substitute for asking a team directly what is or isn't working for them. The authoritative statement of what an admin can and cannot see through this feature is in sentiment monitoring privacy: what admins see and what they do not, which every other post in this series defers to.

For the vendor-neutral definition of the underlying category, see what is AI sentiment monitoring, and for the full set of related questions in one place, see sentiment monitoring: FAQ. For SIGNLD's broader feature set, see /features, and for its security posture, see /security.

The feature is also designed to sit comfortably alongside the rest of an admin's workflow rather than as a standalone tool that requires its own separate habit. An admin already reviewing license counts, connected systems, or team activity in the admin panel can check sentiment in the same sitting, which is part of why it's framed as a value signal to read next to the numbers already on hand, not a report that demands a different process altogether.

Key takeaways

Sentiment monitoring sits inside the SIGNLD admin panel, alongside the other organization-level views an admin already uses to manage the account.
The admin panel view shows whether sessions across a team, or across the organization, are trending toward positive or negative sentiment over time, alongside the volume of activity that trend is based on.
A positive trend suggests that a team's AI sessions are, on the whole, landing the way they're supposed to: people are getting answers or outcomes they find useful.
Sentiment monitoring in the admin panel is scoped to organization admins.
Treat it as a starting point, not a conclusion.

FAQ

Do all users see sentiment monitoring, or just admins?

Sentiment monitoring in the admin panel is scoped to organization admins. It's a leadership and management view of team-level trends, not a feature every individual sees about their own sessions by default.

Can an admin see what a specific person asked?

No. Sentiment monitoring surfaces aggregate trends across sessions for a team or organization, not a transcript of any individual's conversations. See sentiment monitoring privacy for the full answer.

Does the admin panel show sentiment by team?

Yes, an admin can typically view sentiment broken out by team, which is what makes it possible to spot where sentiment is trending well and where it might not be, rather than only seeing one organization-wide number.

Is this the same feature coming to the SIGNLD extension for Claude?

It's the same underlying capability. Sentiment monitoring is available in the SIGNLD admin panel today, and the same capability is coming to the SIGNLD extension for Claude, so leadership can eventually see effectiveness and value per team against token spend there too.

What should an admin do after seeing a negative trend?

Treat it as a starting point, not a conclusion. Look at what changed for that team, whether onboarding or the questions being asked shifted, and consider a direct conversation with the team before assuming a cause.

How often should an admin check sentiment monitoring?

There's no single required cadence. Most admins fold it into a recurring review, checked on the same schedule as other organization health metrics, rather than only looking at it once a problem has already surfaced elsewhere.

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