It would be helpful to have more granular reporting on calls, similar to what Gong offers:
- Conversation-level AI analysis — Native talk-to-listen ratio tracking, sentiment analysis, and filler word detection derived directly from call recordings, with benchmarking against top performer patterns.
- Deal intelligence scoring from call data — AI-driven deal health scores that incorporate what was actually said on calls (stakeholder presence, engagement signals, topic coverage) rather than relying solely on CRM activity fields.
- Conversation-based forecasting — Forecast modeling that factors in call sentiment, buyer engagement patterns, and deal velocity signals from recorded conversations, not just rep-submitted stage updates.
- Competitor mention and custom keyword tracking — Automated detection of competitor names and user-defined keywords (objection phrases, pricing triggers, strategic topics) across all call transcripts, with trend reporting over time.
- Rep coaching scorecards and call libraries — Methodology-based call scoring (e.g., MEDDIC, SPIN) tied to recorded calls, plus curated call libraries managers can use to build onboarding and coaching programs from real interactions.