An AI system that automatically analyses every sales call transcript against a 100-point framework across six critical categories — producing professional coaching reports in minutes, not hours.
Sales managers dedicate extensive hours to manually reviewing calls for performance evaluation, coaching identification, and quality assurance. The manual approach creates inconsistency, consumes significant time, and relies on subjective judgement — limiting scalability for growing teams.
Effective sales tactics remain unidentified, underperforming reps lack targeted coaching, and only 10% of calls ever get reviewed. The remaining 90% are invisible to management.
Quality and depth of questions asked to uncover prospect pain points and buying motivations.
Tone, active listening, talk ratio, and ability to build genuine connection through the conversation.
Budget, authority, need, and timeline qualification — whether the rep confirmed the right buying signals.
Clarity of value proposition, relevance to stated pain points, and persuasiveness of the pitch.
Count, type, and quality of objection responses. Whether objections were addressed or deflected.
Commitment secured, follow-up scheduled, and clear progression toward close defined before the call ended.
Accepts call transcripts as Word docs, PDFs, or Google Docs — automatically routed into the processing pipeline without manual intervention.
Evaluates the transcript across all six categories. Tracks 15+ specific metrics including questions asked, talk ratio, BANT coverage, and objection count.
Produces a 100-point scorecard with per-category breakdowns, identified strengths, specific improvement areas, and actionable coaching guidance.
Reports are generated as professional Google Docs, auto-organised in Drive, and ready for manager review or direct rep feedback within minutes.
Let me show you how to go from reviewing 10% of calls to reviewing 100% — without adding manager workload.
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