Call Scoring — Discovery Call
Amy Chen · Acme Corp · 34 min · Mar 6, 2025
82
MEDDIC Score
Metrics
9/10
Econ. Buyer
8/10
Decision Crit.
8/10
Decision Proc.
7/10
Identify Pain
9/10
Champion
5/10
Talk Ratio
38%
Questions Asked
14
8 open-ended · 6 follow-up
Longest Monologue
2:12
Below 3 min threshold
Coaching Insights
✓ Strong discovery — identified 3 pain points tied to business impact
⚠ No champion identified — ask who sponsors this internally
✕ Missed next steps — no clear follow-up commitment set

How Rafiki AI powers your call scoring strategy

🎯
Framework-Based Scoring
Automatically score calls against your custom criteria, plus MEDDIC, BANT, SPIN, and other frameworks. See exactly where reps excel and where they need coaching.
📈
Performance Tracking
Track individual and team scoring trends over time. Identify improvement areas and measure the impact of coaching interventions.
🤖
AI-Powered Analysis
No manual scorecard filling. Rafiki AI's AI listens to every call and scores it objectively — eliminating bias and saving managers hours per week.
📚
Coaching Playlists
Build coaching libraries from real calls. Show reps exactly what good looks like with examples from your top performers.
📐
Custom Scorecards
Create scoring criteria specific to your sales process. Weight different factors based on what matters most to your organization.
💰
Revenue Correlation
See which call behaviors correlate with won deals. Identify the patterns that separate your top performers from the rest.

Frequently asked questions

Rafiki AI's AI listens to each call and evaluates it against your custom scoring criteria — whether that is your own rubric or a built-in framework like MEDDIC, BANT, or SPIN. It scores individual criteria and provides an overall rating with specific feedback on what went well and what could improve.

Yes. While Rafiki AI comes with built-in frameworks like MEDDIC and BANT, you can create fully custom scorecards that reflect your unique sales process, including custom criteria and weighting.

Call scoring surfaces exactly which skills each rep needs to improve, backed by real examples from their calls. Managers can quickly find coachable moments instead of listening to full recordings, cutting coaching prep time by 80%.

AI scoring is actually more consistent than manual scoring because it eliminates human bias and applies criteria uniformly across every call. Most teams find AI scoring matches or exceeds the accuracy of their best managers.

Teams typically see measurable improvement in call quality within 2-4 weeks of implementing AI call scoring. Reps get immediate feedback after each call, accelerating the learning cycle.

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