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Sales-Call Quality and Conversion Audit

Quality, usefulness and confidence are AI evaluations out of 100 — not user ratings. Community results come from visitors' "worked / didn't work" votes below. How scoring works →

The prompt

Audit this sales-call transcript. CALL OBJECTIVE: [objective] PRODUCT/PROPERTY: [facts] CUSTOMER STAGE: [new/qualified/site visit/negotiation] APPROVED CLAIMS: [facts and disclaimers] TRANSCRIPT: [paste] Score 1-10 with transcript evidence: - Opening and agenda - Discovery depth - Qualification: need, authority, budget and timing - Listening and question quality - Value-to-need alignment - Accuracy and compliance - Objection diagnosis and response - Trust and clarity - Next-step commitment - CRM information captured Identify strong moments, missed opportunities, unsupported claims and talk/listen imbalance. Distinguish customer facts from salesperson assumptions. Reconstruct a better call flow and provide five improved questions, three objection responses and a concise follow-up message. Do not reward pressure, fake scarcity or promises not supported by the approved facts.

Why this prompt

• Hand-picked, editorially reviewed prompt
• Written for GPT-5.6

Source & licence

• Original source: github.com ↗
• Author / dataset: Uploaded
• Licence: MIT
• Adapted: Imported unmodified.
• Imported: 2026-09

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