A consultant is configuring conversation intelligence for a sales team that records customer calls in Microsoft Teams. Before rollout, the sales manager asks what the team can expect it to do automatically once configured. (Select TWO.)
Select all correct answers, then click Submit.
Short Explanation
Set expectations before this rolls out, because the feature is genuinely useful but it isn't magic pipeline automation. What it does reliably is listen to recorded calls and pull out patterns, like whether sentiment is trending positive or negative, whether a competitor keeps coming up, and coaching numbers like how much a rep talked versus listened. That's real, automatic, and useful for both deal visibility and rep development. What it doesn't do is reach into the opportunity record and move the stage or change the close date on its own, and it definitely doesn't free reps from taking their own notes, since there's a lot of nuance and follow-up detail that a transcript alone won't capture or organize into the right fields. The mental model worth handing the manager is: it's a listening and pattern-surfacing tool, not a data-entry replacement.
Full Explanation
The correct answers are A and D. Conversation intelligence analyzes recorded call transcripts to surface trends such as sentiment shifts and competitor mentions, and it also produces coaching-oriented metrics like talk-to-listen ratio directly from the transcription, both of which happen automatically once calls are recorded and the feature is configured. These are core, out-of-the-box capabilities the manager can rely on for visibility into call content and rep behavior. Option B is incorrect because conversation intelligence does not automatically move an opportunity's stage or change its close date based on what was said in a call; those record updates still require rep action or separate workflow automation, not inference from conversation content alone. Option C is incorrect because the feature does not eliminate the need for manual notes or populate every field on the opportunity record; it surfaces insights and trends from calls, but reps still need to capture and structure details that matter for the deal beyond what the transcript analysis produces. Setting accurate expectations before rollout matters because a manager who believes the feature will auto-update pipeline data or fully replace note-taking is likely to be disappointed, while understanding its actual scope, transcript-based trend and coaching insights, sets the team up to use it effectively.