A sales operations lead at a software company wants to know whether a specific competitor is coming up more often across the whole team's discovery calls this quarter compared to last quarter, not just in any single call. Reviewing individual call transcripts one at a time is not practical given the call volume. Where should the lead look to get this trend across all calls?
Select an answer to reveal the explanation.
Short Explanation
When someone wants to know if a competitor's name is popping up more often across dozens of calls over a whole quarter, checking one recording at a time is like trying to gauge a season's rainfall by staring at a single cloud. What's needed instead is a view built to stack all those individual moments together and show the pattern across time. A single deal's risk score only tells you about that one deal, and a written recap of one account's calls only covers that account, neither one adds up the whole team's conversations the way a dedicated trend view does. The right move is to go straight to the tool built for aggregating call signals across a date range, which turns scattered individual mentions into one clear picture of whether the trend is rising or falling.
Full Explanation
The correct answer is D. Conversation intelligence includes an analytics view built specifically to roll up signals like keyword and competitor mentions across many calls over a chosen date range, which is exactly the quarter-over-quarter, team-wide comparison the lead needs. Option A is incorrect because the predictive opportunity score pane reports on a single opportunity's risk factors, not a team-level trend across the whole call volume, so it cannot answer D question about overall frequency change. Option B is incorrect because the Copilot opportunity summary is scoped to one account's activity, not the entire team's calls across a quarter, so it would only ever reflect a slice of the picture rather than an organization-wide trend. Option C is incorrect because reviewing tagged recordings one at a time is precisely the impractical, call-by-call approach the lead is trying to avoid; it does not provide an aggregated view and would not scale to the volume described.