Sentiment monitoring: FAQ

Related reading in this series: Sentiment monitoring for a Claude deployment and Sentiment monitoring vs usage analytics.

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

Key takeaways

• Sentiment monitoring is a SIGNLD feature that shows organization admins whether their team's AI sessions are producing value and whether the overall sentiment across those sessions is positive or negative.
• An admin sees aggregate sentiment and value signals across a team's AI sessions: whether sessions are trending positive or negative, and whether they appear to be producing value.
• An engagement survey asks people directly how they feel about a tool or their work, on their own schedule and in their own words.
• No new connection is required beyond what SIGNLD already uses to operate for an organization.
• Start with what is AI sentiment monitoring for the category definition, then see how it appears in practice through features and how SIGNLD's security model keeps everything read-only and tenant-isolated.

Frequently asked questions

What is sentiment monitoring?

Sentiment monitoring is a SIGNLD feature that shows organization admins whether their team's AI sessions are producing value and whether the overall sentiment across those sessions is positive or negative. It lives in the admin panel today, and the same capability is coming to the SIGNLD extension for Claude. It exists so leadership can see what the team is actually getting out of AI, not only how much was used or how often people logged in.

Where do I find sentiment monitoring in SIGNLD?

It is available in the SIGNLD admin panel, in the section organization admins use to review how their team is using AI. It reports at the team level rather than surfacing individual sessions one by one. The same capability is coming to the SIGNLD extension for Claude, so the same kind of view will be reachable from inside a Claude session as well.

Who can see sentiment monitoring data?

Organization admins can open sentiment monitoring in the admin panel. It is scoped to the same permission model as the rest of SIGNLD, so who counts as an admin, and what teams they can see, follows an organization's existing access settings rather than a separate rule specific to this feature. Nobody gets broader access to sentiment data than their normal role already allows across the rest of SIGNLD.

What does an admin actually see?

An admin sees aggregate sentiment and value signals across a team's AI sessions: whether sessions are trending positive or negative, and whether they appear to be producing value. It is a summary view built from patterns across many sessions, not a transcript reader. The goal is to answer "is this working for the team," not "what did any one person ask."

What can an admin not see?

An admin does not get a surveillance view of individual conversations. Sentiment monitoring does not hand out a feed of what any specific person typed or asked in a session. It reports at the aggregate level, across sessions and teams, by design. If a question needs an individual conversation read word for word, sentiment monitoring is not built to answer it, and no admin control turns that level of detail on.

Does sentiment monitoring replace usage analytics?

No. Usage analytics tells you whether AI is being used, through activity, session counts, or token consumption. Sentiment monitoring tells you whether that activity appears to be working. The two answer different questions and are meant to be read together. Usage without a value read can look busy and still be unproductive; sentiment without usage context has nothing to explain.

Does sentiment monitoring compute an ROI number?

No. Sentiment monitoring reports whether sessions read as producing value or not; it does not output a return on investment figure, a dollar amount, or a benchmark to compare against other teams. It is a signal meant to narrow where leadership should look, not a finished financial calculation that stands on its own or replaces a real conversation about the numbers behind it.

What does negative sentiment usually mean?

Negative sentiment across a team's sessions usually points to a real friction point: a missing connection to a system the team needs, an undefined metric that keeps producing unclear answers, a permission scope that is too narrow, or a workflow the tool was not set up to support. It is a prompt to investigate, not a verdict on the tool or the team.

Can sentiment monitoring be used to evaluate individual employees?

It is not built for that and should not be used that way. The reporting is aggregate, at the team or session-pattern level, specifically so it cannot function as a performance monitor for one person. An admin looking for individual performance data will not find it here, because the feature deliberately does not surface conversation-level detail tied to a person.

How is sentiment monitoring different from an employee engagement survey?

An engagement survey asks people directly how they feel about a tool or their work, on their own schedule and in their own words. Sentiment monitoring infers a value and sentiment signal from patterns in actual AI sessions, continuously, without asking anyone to fill out a form. The two can support each other, but sentiment monitoring is observational, while a survey is self-reported.

Is sentiment monitoring available in the SIGNLD extension for Claude?

The same capability is coming to the SIGNLD extension for Claude, so leadership will be able to see effectiveness and value per team against token spend from inside a Claude session as well. Sentiment monitoring itself is available in the SIGNLD admin panel today. SIGNLD is not affiliated with, sponsored by, or endorsed by Anthropic; see docs.anthropic.com for anything specific to Claude itself.

How does sentiment monitoring fit into a budget or spend review?

It gives leadership a value signal to place next to a spend figure, so a budget conversation is not just a cost number on its own. Seeing whether spend lines up with positive sentiment, or whether a large share of spend sits with teams whose sessions read as unproductive, is more useful in a review than either number alone. It does not replace a real conversation with the team.

Does sentiment monitoring require a separate connection or setup?

No new connection is required beyond what SIGNLD already uses to operate for an organization. Sentiment monitoring is read from the AI sessions already happening inside SIGNLD, and everything SIGNLD reads from a source system stays read-only and traceable back to where it came from. There is no separate integration step just to turn sentiment monitoring on, and no additional data collection an admin has to configure first.

What should an admin do after seeing a negative sentiment reading?

Treat it as the start of an investigation, not a conclusion. Check whether the team has the connections and permissions it actually needs, whether the metrics it is asking about are clearly defined, and whether the workflow it is trying to run through AI is the right fit for the tool. A single reading rarely explains itself; a pattern over time usually does.

Where can I read more about how sentiment monitoring works?

Start with what is AI sentiment monitoring for the category definition, then see how it appears in practice through features and how SIGNLD's security model keeps everything read-only and tenant-isolated. Playbooks on running an adoption review or presenting AI spend to a CFO build on the same aggregate signals described throughout this page, so they are a natural next stop after the basics here.

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