An Agentforce is tasked with analyzing Agent interactions looking into user inputs, requests, and queries...

The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the Agentforce Specialist to:

Identify Common Queries: Surface frequently asked questions or recurring issues.

Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.

Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.

Why Other Options Are Incorrect:

B. Agent Event Logs dashboard: Focuses on agent activity (e.g., response times, resolved cases) rather than user input analysis.

C. AI Audit & Feedback Data dashboard: Tracks AI model performance, audit trails, and user feedback scores but does not directly analyze raw user utterances or queries.

References:

Salesforce Einstein Agentforce Specialist Certification Guide: Emphasizes the User Utterances dashboard as the primary tool for analyzing user inputs to improve conversational AI.

Trailhead Module: "Einstein Bots Basics" highlights using the dashboard to refine bot training based on user interaction data.

Salesforce Help Documentation: Describes the User Utterances dashboard as critical for identifying trends in customer interactions.