The Cause Outside Your Data: Web Search in Ask Spotlight
Ask Spotlight can now look up public information on the web when you ask it to, so it can explain
Each interaction is now rated across three Experience Driver categories, helping Ask Spotlight find you the root cause of poor customer experience.

Experience drivers tell you which part of the customer journey caused a good or bad experience and why, helping you find and measure root cause. AI labels are applied for different aspects of the customer experience, rating them as positive, negative, or neutral.
Each of your interactions is now automatically rated across three Experience Driver categories:
Note: these drivers are only applied where relevant, so a conversation with no bot involvement will not receive a ‘Bot handling’ rating.

Each positive, negative, or neutral rating is paired with a one-sentence explanation of why it was applied. For example, if Bot Handling comes back negative, you might see something like: “The bot misunderstood the customer’s question, looped them through the menu, and they left without resolution.”
Now that these ratings and explanations are explorable in Ask Spotlight, they will be invoked when relevant, and it will be easier to quantify the root cause behind your CX questions.

Interaction counts, aggregates and search can now be filtered by driver and rating through Ask Spotlight, or any MCP-connected assistant. You can scope a question to one driver and one rating, then break the result down by contact reason, team, market or any other dimension you already use.
That lets you ask which part of the experience is going wrong, rather than just how badly an interaction went overall. You might find Agent Handling is consistently positive across a market where Product/Process is consistently negative, which tells you your team is holding the line on something the product is causing.
Though both are signals helping you understand the overall customer experience for each interaction, these are currently powered by two separate systems:
Note: Drivers aren’t an input to the experience score (yet), so the two can seemingly ‘disagree’.
Example. A customer contacts you about a cancelled flight, angry from the first message and still angry at the end. The agent answers fast, confirms their entitlement and rebooks them.
The Experience Score is low: frustration=high, final sentiment=negative. But Agent Handling is positive. Read together: the interaction went badly for the customer, and the reason was the cancellation, not the agent.
⭐ Experience drivers are stored from the 1st of September for interactions. Interactions before this date will not have the drivers present.
⭐ UI support for filtering by Experience Driver is coming soon. A new filter category will let you do the same filtering directly on Explore, Agent Activity, and other interaction tables.
If you have any queries about using this within Ask Spotlight or your own AI agent, reach out to Customer Success.
Ask Spotlight can now look up public information on the web when you ask it to, so it can explain
Your team now has a dedicated page to see how many Ask Spotlight questions you've used, how quickly you're going
The Reviews, Agent Performance, and Agent Log-In screens now show headline performance metrics at a glance, no more digging through
"We’re a big business, so getting the right people to agree and fix something hasn’t always been easy. Now we’ve got one version of the truth—it’s much easier to align and act"
"The anomaly feature is a game changer for us. It’s highly accurate and has helped us identify customer issues, agent errors, and even fraud that would have taken us longer to catch."
"It has reduced the time for the quality assurance process as it provides clear data and a very robust direction on where to look and what matters the most."



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