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 100Did 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.
2. Discovery & Active Listening
Scored 0 to 100Did 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.
3. Objection Handling
Scored 0 to 100How 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.
4. Compliance & Process
Scored 0 to 100Did 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.
5. Resolution & Next Steps
Scored 0 to 100Did 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.
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.
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.
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