--- title: "The Call Flow Scoring Rubric, Explained | Call Flow" description: "The exact 5-dimension rubric Call Flow's AI uses to grade every practice call: rapport, discovery, objections, compliance, and resolution, with human override." lang: en json-ld: | [ { "@context": "https://schema.org", "@type": "Organization", "@id": "https://callflow.dev/#org", "name": "Call Flow", "alternateName": [ "CallFlow", "Callflow", "Call Flow AI", "CallFlow AI", "callflow.dev" ], "url": "https://callflow.dev", "logo": "https://callflow.dev/favicon.png", "image": "https://callflow.dev/og-image.png", "description": "AI-powered call center and sales training platform with realistic AI role-play, instant scoring, supervisor reviews, and custom scenarios. 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Each dimension is scored 0 to 100 with a written rationale pointing to specific transcript moments, and the overall score is a weighted view of the five." } }, { "@type": "Question", "name": "Can managers override an AI score?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Supervisors and team owners can review any session and override the score with a documented reason. Both the original AI score and the override are preserved, which keeps coaching decisions auditable and keeps humans in charge of judgments that affect people's careers." } }, { "@type": "Question", "name": "Why publish the rubric publicly?", "acceptedAnswer": { "@type": "Answer", "text": "Because a score you cannot inspect is a score you cannot trust. Publishing the rubric lets enablement leaders evaluate whether our definition of a good call matches theirs before they ever run a session, and it lets reps know exactly what they are being coached on. Transparency is a core part of our editorial standard." } }, { "@type": "Question", "name": "Does the rubric differ by call type?", "acceptedAnswer": { "@type": "Answer", "text": "The five dimensions are constant, but their emphasis shifts by scenario. A cold-call scenario weights openings and objection handling more heavily; a de-escalation scenario weights acknowledgment and compliance; a renewal call weights discovery and resolution. Custom scenarios can adjust the rubric emphasis to match your playbook." } }, { "@type": "Question", "name": "How accurate is AI scoring compared to a human QA reviewer?", "acceptedAnswer": { "@type": "Answer", "text": "AI scoring is more consistent than human review (the same call always gets the same evaluation) and dramatically faster, but it is not infallible, which is why human override exists. The strongest QA programs use AI scoring for volume and consistency, and human review for judgment calls and edge cases." } } ] } ] --- [ Call Flow ](/) Solutions [Features](/features)[How It Works](/how-it-works)[Enterprise](/enterprise)[Pricing](/pricing)[Testimonials](/testimonials) [Log In](/auth)Get Started Transparency Report # The Call Flow Scoring Rubric, Explained A score you cannot inspect is a score you cannot trust. This is the exact five-dimension rubric our AI uses to grade every practice call, the signals it looks for, and how human supervisors stay in control. ## Short answer Call Flow scores every practice conversation on five dimensions: Rapport & Openings, Discovery & Active Listening, Objection Handling, Compliance & Process, and Resolution & Next Steps. Each is graded 0 to 100 with transcript evidence, and every score can be reviewed and overridden by a human supervisor with a documented reason. ## The five dimensions ### 1\. Rapport & Openings Scored 0 to 100 Did the rep establish trust in the first 30 seconds? The evaluator looks for a clear introduction, a reason for the call that centers the customer, and acknowledgment of the customer's emotional state before any agenda. Specific acknowledgment of what the customer said No premature pitching Tone-matching a hostile or hurried opener Clear framing of why the conversation matters to the customer ### 2\. Discovery & Active Listening Scored 0 to 100 Did the rep actually diagnose before prescribing? The evaluator tracks open versus closed questions, whether follow-ups reference the customer's own words, and whether the rep answered the concern behind the question rather than the question itself. Open questions that build on prior answers Paraphrasing to confirm understanding No feature-dumping before a need is established Silence and hesitation handled with curiosity, not filler ### 3\. Objection Handling Scored 0 to 100 How the rep responds when the conversation pushes back: pricing pushback, competitor comparisons, brush-offs, and outright hostility. The evaluator checks whether objections were explored or argued with. Objection acknowledged before being answered Comparison questions diagnosed instead of defended No contradicting the customer directly Recovery attempts after a stumble are credited ### 4\. Compliance & Process Scored 0 to 100 Did the rep follow required process steps and stay inside regulatory boundaries? For support scenarios this covers verification steps and promise-keeping. For outbound it covers disclosure and do-not-call sensitivity aligned with TCPA-style rules and GDPR-aware data handling. Required disclosures delivered No promises the business cannot keep Verification and identity steps completed Escalation and transfer protocols followed ### 5\. Resolution & Next Steps Scored 0 to 100 Did the call end somewhere useful? The evaluator checks for a concrete outcome: a booked next step, a resolved issue with confirmation, or a clean professional exit that preserves the relationship. Specific next step with owner and timing Customer confirms the resolution Summary of what was agreed No vague 'we will be in touch' endings ## The trust layer: humans stay in charge ### Human override is built in Every AI score can be reviewed and overridden by a supervisor or owner. The override, the reason, and the original score are all preserved on the record, so coaching decisions stay auditable and the AI never has the final word over a human manager. ### Scores come with receipts Every score is delivered with the full transcript and a dimension-by-dimension coaching summary that points to specific moments in the conversation. A manager never has to trust a number without seeing the evidence behind it. ### Data protection posture Practice conversations happen against AI callers, not real customers, which removes live-customer data from training entirely. Platform operations are aligned with GDPR and SOC 2 frameworks, and supervisors control who sees which sessions through role-based access. [Why transparency is our editorial standard](/brand-journalism-sales-enablement) ## Frequently Asked Questions ### How does Call Flow's AI call scoring work? Every practice conversation is evaluated by an AI scoring model against a five-dimension rubric: rapport, discovery, objection handling, compliance, and resolution. Each dimension is scored 0 to 100 with a written rationale pointing to specific transcript moments, and the overall score is a weighted view of the five. ### Can managers override an AI score? Yes. Supervisors and team owners can review any session and override the score with a documented reason. Both the original AI score and the override are preserved, which keeps coaching decisions auditable and keeps humans in charge of judgments that affect people's careers. ### Why publish the rubric publicly? Because a score you cannot inspect is a score you cannot trust. Publishing the rubric lets enablement leaders evaluate whether our definition of a good call matches theirs before they ever run a session, and it lets reps know exactly what they are being coached on. Transparency is a core part of our editorial standard. ### Does the rubric differ by call type? The five dimensions are constant, but their emphasis shifts by scenario. A cold-call scenario weights openings and objection handling more heavily; a de-escalation scenario weights acknowledgment and compliance; a renewal call weights discovery and resolution. Custom scenarios can adjust the rubric emphasis to match your playbook. ### How accurate is AI scoring compared to a human QA reviewer? AI scoring is more consistent than human review (the same call always gets the same evaluation) and dramatically faster, but it is not infallible, which is why human override exists. The strongest QA programs use AI scoring for volume and consistency, and human review for judgment calls and edge cases. ## Continue reading [Our Editorial Standard The E-E-A-T principles behind why we publish our methods. ](/brand-journalism-sales-enablement)[Anatomy of a Bad Call See the rubric applied to real transcript breakdowns. ](/anatomy-of-a-bad-call)[AI Call Scoring The product overview of instant scoring and coaching summaries. ](/ai-call-scoring) Risk‑free pilot ## See your team's calls scored on this rubric Start free with up to 20 seats. Every session scored in seconds, with full transcript evidence. [Get Started Free](/start) Up to 20 seats included Full feature access No credit card surprises GDPR & SOC 2 aligned If it doesn't move your numbers, you walk away, no contract. 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