Signals are behavioral and intent patterns that Chordia's Compass engine identifies across customer conversations. Each signal represents something specific that happened — or didn't happen — during an interaction. Unlike keyword matching or sentiment scores, signals are grounded in the structure of the conversation: what was said, in what context, and what it means for your operation.
sig.customer_questions_answered

Customer Questions Answered

Agent Performance
  |  
Universal

What This Signal Detects

The cleanest way to end any support interaction is with confirmation that the customer’s questions were fully addressed. This signal identifies whether the interaction concluded with explicit confirmation that the customer’s questions were answered or that no further questions remained. It captures whether the agent proactively checked for outstanding concerns before closing the interaction.

This goes beyond solving the primary issue. Customers often have secondary questions, related concerns, or want clarity on aspects of the resolution. The signal looks for whether the agent created space for these additional questions and confirmed that everything was addressed before ending the call or chat.

Why It Matters

Unresolved questions are one of the most common drivers of repeat contacts. Customers who hang up with lingering questions often call back within hours or days seeking clarification. These follow-up contacts are entirely preventable if agents consistently check whether all questions were addressed during the original interaction.

The business cost of incomplete question resolution extends beyond contact volume. Customers with unresolved questions rate interactions lower on satisfaction surveys, even when their primary issue was resolved successfully. They remember the interaction as incomplete rather than successful, which affects their overall perception of service quality.

For complex issues, unresolved questions can derail entire resolution processes. A customer might receive a solution but not understand how to implement it, when it will take effect, or what to do if problems persist. These knowledge gaps can turn successful resolutions into failed outcomes.

How It Works

Compass evaluates whether the agent explicitly checked that all customer questions were answered before concluding the interaction. This includes direct questions about whether the customer has any remaining concerns, confirmation that all aspects of the customer’s inquiry were addressed, and verification that the customer feels their needs were completely met.

The detection looks for proactive inquiry rather than passive assumption. It identifies whether the agent created an opportunity for the customer to surface any remaining questions rather than simply proceeding to closure.

What Teams Do With This

QA teams use question completion tracking to identify agents who need coaching on thorough closure techniques. Some agents focus intensely on resolving the primary issue but struggle with the broader conversation management needed to ensure complete satisfaction.

Training teams monitor this signal to develop coaching around customer advocacy. Agents who consistently check for remaining questions demonstrate genuine concern for complete resolution, which becomes a model for others to follow.

Customer success managers track question completion as a predictor of contact efficiency. Interactions that end with confirmed question resolution generate significantly fewer repeat contacts, making this a valuable leading indicator for preventing unnecessary future volume.

This signal is part of Chordia’s Quality Monitoring capabilities.