Real call scoring
Finally, scoring that scales
Finally, scoring that scales
Finally, scoring that scales
Transform every sales call into actionable insights. Evaluate, coach, and improve your team's performance with AI that never sleeps.
THE CHALLENGE
THE CHALLENGE
THE CHALLENGE
Why sales call coaching fails to scale
Even the best sales managers can't listen to every call. Most teams struggle with these common challenges:
Time constraints
Sales managers have limited bandwidth to listen to and score all sales calls, leaving many reps without feedback.
Time constraints
Sales managers have limited bandwidth to listen to and score all sales calls, leaving many reps without feedback.
Time constraints
Reps often revert to old habits or inconsistently apply new guidance, especially without ample practice.
Inconsistent coaching
Without systematic evaluation, feedback becomes subjective and varies between different team members.
Inconsistent coaching
Without systematic evaluation, feedback becomes subjective and varies between different team members.
Inconsistent coaching
Without systematic evaluation, feedback becomes subjective and varies between different team members.
Missed learning opportunities
Critical coaching moments get lost when only a fraction of calls are reviewed and analyzed.
Missed learning opportunities
Critical coaching moments get lost when only a fraction of calls are reviewed and analyzed.
Missed learning opportunities
Critical coaching moments get lost when only a fraction of calls are reviewed and analyzed.
Scaling limitations
As teams grow, the quality and frequency of coaching inevitably decreases.
Scaling limitations
As teams grow, the quality and frequency of coaching inevitably decreases.
Scaling limitations
As teams grow, the quality and frequency of coaching inevitably decreases.
How much are missed coaching opportunities costing your team?
Research shows that sales reps who receive regular, quality coaching outperform peers by up to 19% — but most managers can only review 5-10% of calls.
73%
of reps say they need better coaching to succeed
With FullyRamped, our latest cohort of SDRs saw the fastest ramp to productivity ever and are already matching tenured reps in only two months.
Kol Souers
Senior SDR Manager
ReMatter
We evaluated a handful of AI role-play solutions for our team, and we decided on FullyRamped. We are so happy that we did. Being able to turn real call recordings into role-plays makes using FullyRamped so easy.
Kyle Lohmann
Head of Growth
SugerNow that we use FullyRamped, we don't waste good leads on untrained reps. Plus, my team gets to practice more than their peers. Their conversation to meeting booked rate makes it very clear that FullyRamped worked.
Keith Fearon
Growth Strategy
KargoNot only do I wish that I had this when I was an SDR, I wish that I had FullyRamped every time I joined a new company. This isn't just for onboarding, it's for learning new products, new buyers, and new industries.
Andrew Kent
Senior AE
FullyRamped's AI role play platform saves front line managers hours each week. Plus, being able to do mock calls at scale creates more opportunities for coaching and feedback.
Alex Sklar
VP of Sales, Enterprise
Our team hit 100% attainment month-over-month, and our top SDR—who actively trained on FullyRamped—smashed her targets repeatedly.
Ray Jimenez
Manager, Sales Development
ExpedockAt this point, I couldn't imagine running onboarding without FullyRamped. It's been a game-changer. New reps are ready to talk to prospects much sooner and they don't burn good leads in the process.
David Betty
Senior Director, MDR Program
Verkada
With FullyRamped, our latest cohort of SDRs saw the fastest ramp to productivity ever and are already matching tenured reps in only two months.
Kol Souers
Senior SDR Manager
ReMatterWe evaluated a handful of AI role-play solutions for our team, and we decided on FullyRamped. We are so happy that we did. Being able to turn real call recordings into role-plays makes using FullyRamped so easy.
Kyle Lohmann
Head of Growth
SugerNow that we use FullyRamped, we don't waste good leads on untrained reps. Plus, my team gets to practice more than their peers. Their conversation to meeting booked rate makes it very clear that FullyRamped worked.
Keith Fearon
Growth Strategy
KargoNot only do I wish that I had this when I was an SDR, I wish that I had FullyRamped every time I joined a new company. This isn't just for onboarding, it's for learning new products, new buyers, and new industries.
Andrew Kent
Senior AE
FullyRamped's AI role play platform saves front line managers hours each week. Plus, being able to do mock calls at scale creates more opportunities for coaching and feedback.
Alex Sklar
VP of Sales, Enterprise
Our team hit 100% attainment month-over-month, and our top SDR—who actively trained on FullyRamped—smashed her targets repeatedly.
Ray Jimenez
Manager, Sales Development
ExpedockAt this point, I couldn't imagine running onboarding without FullyRamped. It's been a game-changer. New reps are ready to talk to prospects much sooner and they don't burn good leads in the process.
David Betty
Senior Director, MDR Program
Verkada
With FullyRamped, our latest cohort of SDRs saw the fastest ramp to productivity ever and are already matching tenured reps in only two months.
Kol Souers
Senior SDR Manager
ReMatterWe evaluated a handful of AI role-play solutions for our team, and we decided on FullyRamped. We are so happy that we did. Being able to turn real call recordings into role-plays makes using FullyRamped so easy.
Kyle Lohmann
Head of Growth
SugerNow that we use FullyRamped, we don't waste good leads on untrained reps. Plus, my team gets to practice more than their peers. Their conversation to meeting booked rate makes it very clear that FullyRamped worked.
Keith Fearon
Growth Strategy
KargoNot only do I wish that I had this when I was an SDR, I wish that I had FullyRamped every time I joined a new company. This isn't just for onboarding, it's for learning new products, new buyers, and new industries.
Andrew Kent
Senior AE
FullyRamped's AI role play platform saves front line managers hours each week. Plus, being able to do mock calls at scale creates more opportunities for coaching and feedback.
Alex Sklar
VP of Sales, Enterprise
Our team hit 100% attainment month-over-month, and our top SDR—who actively trained on FullyRamped—smashed her targets repeatedly.
Ray Jimenez
Manager, Sales Development
ExpedockAt this point, I couldn't imagine running onboarding without FullyRamped. It's been a game-changer. New reps are ready to talk to prospects much sooner and they don't burn good leads in the process.
David Betty
Senior Director, MDR Program
Verkada
THE SOLUTION
THE SOLUTION
THE SOLUTION
AI-Powered call scoring that scales with your team
FullyRamped's real call scoring uses advanced AI to automatically evaluate sales conversations, provide personalized feedback, and turn insights into actionable training — all without manual review.
Automatically score every call against your sales methodology
Identify coaching opportunities with AI-powered insights
Turn real calls into practice scenarios with AI twins
Seamlessly integrate with your existing call recording platform
FEATURES
Everything you need for call excellence
Our comprehensive suite of AI-powered tools help you scale coaching across your entire team.
AI scorecards
Automatically evaluate calls based on your sales methodology and custom scoring criteria.
AI scorecards
Automatically evaluate calls based on your sales methodology and custom scoring criteria.
AI scorecards
Automatically evaluate calls based on your sales methodology and custom scoring criteria.
AI coaching
Deliver personalized feedback and improvement suggestions directly to each rep.
AI coaching
Deliver personalized feedback and improvement suggestions directly to each rep.
AI coaching
Deliver personalized feedback and improvement suggestions directly to each rep.
Gong integration
Seamlessly import calls from Gong for analysis without changing your existing workflow.
Gong integration
Seamlessly import calls from Gong for analysis without changing your existing workflow.
Gong integration
Seamlessly import calls from Gong for analysis without changing your existing workflow.
AI twin creation
Covert real calls into AI roleplay scenarios for targeted practice sessions.
AI twin creation
Covert real calls into AI roleplay scenarios for targeted practice sessions.
AI twin creation
Covert real calls into AI roleplay scenarios for targeted practice sessions.
Team analytics
Track progress across reps and teams with comprehensive performance dashboards.
Team analytics
Track progress across reps and teams with comprehensive performance dashboards.
Team analytics
Track progress across reps and teams with comprehensive performance dashboards.
Custom criteria
Define your own evaluation criteria and scoring weights based on your sales methodology.
Custom criteria
Define your own evaluation criteria and scoring weights based on your sales methodology.
Custom criteria
Define your own evaluation criteria and scoring weights based on your sales methodology.
Skills gap analysis
Identify patterns in team performance to focus training where it's needed most
Skills gap analysis
Identify patterns in team performance to focus training where it's needed most
Skills gap analysis
Identify patterns in team performance to focus training where it's needed most
Knowledge hub
Build a searchable database of common objections and personas.
Knowledge hub
Build a searchable database of common objections and personas.
Knowledge hub
Build a searchable database of common objections and personas.
FAQs
Frequently asked questions
Everything you need to know about choosing the right AI Sales Role Play platform
How does FullyRamped's AI scoring compare to manual call reviews by managers?
FullyRamped's AI evaluates 100% of calls consistently against defined criteria, while managers typically review only 5-10% of calls due to time constraints. AI scoring eliminates subjective bias—every rep is evaluated identically regardless of manager mood, relationships, or workload. The AI analyzes talk ratio, speed, filler words, discovery questions asked, objections handled, value propositions articulated, and methodology adherence (MEDDPICC, Challenger, SPIN, etc.). Managers save 15-20 hours per week on manual scoring but retain oversight—they can review AI scores, add personalized comments, and focus their limited time on strategic coaching rather than basic evaluation. Research shows sales reps with regular coaching outperform peers by 19%, but FullyRamped makes "regular" mean every call, not every tenth call.
What call recording platforms does FullyRamped integrate with?
FullyRamped has integrations with Gong, Clari and Salesloft, which allow you to seamlessly import call recordings for automatic AI scoring without changing your existing workflow. The platform analyzes call recordings to identify coaching opportunities, then creates AI twins (roleplay replicas) of challenging conversations for practice. The system processes audio files to generate transcripts, scores, and actionable feedback.
Can we customize the scoring criteria to match our sales methodology?
Absolutely. FullyRamped's AI scorecards are fully customizable to your specific sales methodology and priorities. Define your own evaluation criteria (discovery quality, objection handling, competitive positioning, closing effectiveness, etc.), assign criteria and goals, and align scoring to frameworks like MEDDPICC, BANT, SPIN, Sandler, or Challenger. You can create different scorecards for different call types (cold calls vs. discovery vs. demos) and different roles (SDR scorecards vs. AE scorecards). The Knowledge Hub stores your methodology documentation, talk tracks, and ideal responses, which the AI uses as benchmarks. This ensures reps aren't scored against generic "good sales" but against your organization's specific definition of excellence.
What happens after a call is scored—how do reps get feedback?
Immediately after a call is scored, reps receive AI-generated feedback showing exactly what they did well and where they need improvement. The feedback includes specific moments in the conversation (timestamped), recommended alternative approaches, and comparison to top performers. Reps can see metrics like talk-to-listen ratio, filler word frequency, whether they asked key discovery questions, and how they handled objections. Managers can then suggest relevant Practice Prospects to address weak areas—if a rep struggles with pricing objections, assign objection-handling practice scenarios. Managers get alerts when reps consistently underperform on specific skills, enabling targeted 1:1 coaching. This creates a closed-loop system: score call → identify gaps → practice scenarios → score next call → measure improvement.
Can FullyRamped turn real customer calls into practice scenarios?
Yes, this is one of FullyRamped's most powerful features—AI twins. When you identify a challenging or important customer call (a difficult objection, competitive situation, or complex stakeholder dynamic), FullyRamped converts it into an AI roleplay scenario. The AI analyzes the conversation's tone, objections, questions, and buyer behavior, then creates a Practice Prospect that mimics that exact situation. Reps can retry the call 10-20 times, experimenting with different approaches until they master it. This is invaluable for deal prep—if you're heading into a renewal negotiation tomorrow, import a similar past call, practice multiple strategies tonight, then execute confidently tomorrow. The AI doesn't replicate customer voices (privacy/security), but it captures the conversational dynamics, making practice incredibly realistic and immediately applicable.
How do we identify team-wide coaching opportunities vs. individual issues?
FullyRamped's team analytics dashboards aggregate performance data across your entire organization, revealing patterns that indicate systemic vs. individual gaps. For example, if 80% of your team struggles with competitive objections, that's a training gap requiring new content or methodology. If one rep consistently underperforms on discovery, that's an individual coaching opportunity. The platform provides skills gap analysis showing which competencies need attention across teams, regions, or roles. You can filter by rep, manager, call type, time period, or methodology component. This visibility helps enablement leaders prioritize initiatives (should we build competitive training or focus on discovery coaching?) and helps managers allocate their limited coaching time where it matters most. Export reports for leadership showing organizational strengths and weaknesses with quantified improvement recommendations.
Does AI scoring replace managers or change their role?
AI scoring doesn't replace managers—it amplifies their coaching impact by eliminating administrative burden. Instead of spending 15-20 hours weekly listening to calls and taking notes, managers review AI-generated scores and focus their time on strategic coaching conversations. The manager's role shifts from "evaluator" to "coach and mentor." They're freed from basic skill assessment (which the AI handles objectively) to focus on career development, complex deal strategy, emotional intelligence coaching, and team culture. Many managers use FullyRamped to identify which reps need their attention most urgently, then conduct targeted 1:1s with AI scores as the conversation starter. The best managers layer their human judgment on top of AI insights—the AI tells them what happened, managers help reps understand why it matters and how to improve. This partnership makes coaching both more scalable and more impactful.
How does FullyRamped's AI scoring compare to manual call reviews by managers?
FullyRamped's AI evaluates 100% of calls consistently against defined criteria, while managers typically review only 5-10% of calls due to time constraints. AI scoring eliminates subjective bias—every rep is evaluated identically regardless of manager mood, relationships, or workload. The AI analyzes talk ratio, speed, filler words, discovery questions asked, objections handled, value propositions articulated, and methodology adherence (MEDDPICC, Challenger, SPIN, etc.). Managers save 15-20 hours per week on manual scoring but retain oversight—they can review AI scores, add personalized comments, and focus their limited time on strategic coaching rather than basic evaluation. Research shows sales reps with regular coaching outperform peers by 19%, but FullyRamped makes "regular" mean every call, not every tenth call.
What call recording platforms does FullyRamped integrate with?
FullyRamped has integrations with Gong, Clari and Salesloft, which allow you to seamlessly import call recordings for automatic AI scoring without changing your existing workflow. The platform analyzes call recordings to identify coaching opportunities, then creates AI twins (roleplay replicas) of challenging conversations for practice. The system processes audio files to generate transcripts, scores, and actionable feedback.
Can we customize the scoring criteria to match our sales methodology?
Absolutely. FullyRamped's AI scorecards are fully customizable to your specific sales methodology and priorities. Define your own evaluation criteria (discovery quality, objection handling, competitive positioning, closing effectiveness, etc.), assign criteria and goals, and align scoring to frameworks like MEDDPICC, BANT, SPIN, Sandler, or Challenger. You can create different scorecards for different call types (cold calls vs. discovery vs. demos) and different roles (SDR scorecards vs. AE scorecards). The Knowledge Hub stores your methodology documentation, talk tracks, and ideal responses, which the AI uses as benchmarks. This ensures reps aren't scored against generic "good sales" but against your organization's specific definition of excellence.
What happens after a call is scored—how do reps get feedback?
Immediately after a call is scored, reps receive AI-generated feedback showing exactly what they did well and where they need improvement. The feedback includes specific moments in the conversation (timestamped), recommended alternative approaches, and comparison to top performers. Reps can see metrics like talk-to-listen ratio, filler word frequency, whether they asked key discovery questions, and how they handled objections. Managers can then suggest relevant Practice Prospects to address weak areas—if a rep struggles with pricing objections, assign objection-handling practice scenarios. Managers get alerts when reps consistently underperform on specific skills, enabling targeted 1:1 coaching. This creates a closed-loop system: score call → identify gaps → practice scenarios → score next call → measure improvement.
Can FullyRamped turn real customer calls into practice scenarios?
Yes, this is one of FullyRamped's most powerful features—AI twins. When you identify a challenging or important customer call (a difficult objection, competitive situation, or complex stakeholder dynamic), FullyRamped converts it into an AI roleplay scenario. The AI analyzes the conversation's tone, objections, questions, and buyer behavior, then creates a Practice Prospect that mimics that exact situation. Reps can retry the call 10-20 times, experimenting with different approaches until they master it. This is invaluable for deal prep—if you're heading into a renewal negotiation tomorrow, import a similar past call, practice multiple strategies tonight, then execute confidently tomorrow. The AI doesn't replicate customer voices (privacy/security), but it captures the conversational dynamics, making practice incredibly realistic and immediately applicable.
How do we identify team-wide coaching opportunities vs. individual issues?
FullyRamped's team analytics dashboards aggregate performance data across your entire organization, revealing patterns that indicate systemic vs. individual gaps. For example, if 80% of your team struggles with competitive objections, that's a training gap requiring new content or methodology. If one rep consistently underperforms on discovery, that's an individual coaching opportunity. The platform provides skills gap analysis showing which competencies need attention across teams, regions, or roles. You can filter by rep, manager, call type, time period, or methodology component. This visibility helps enablement leaders prioritize initiatives (should we build competitive training or focus on discovery coaching?) and helps managers allocate their limited coaching time where it matters most. Export reports for leadership showing organizational strengths and weaknesses with quantified improvement recommendations.
Does AI scoring replace managers or change their role?
AI scoring doesn't replace managers—it amplifies their coaching impact by eliminating administrative burden. Instead of spending 15-20 hours weekly listening to calls and taking notes, managers review AI-generated scores and focus their time on strategic coaching conversations. The manager's role shifts from "evaluator" to "coach and mentor." They're freed from basic skill assessment (which the AI handles objectively) to focus on career development, complex deal strategy, emotional intelligence coaching, and team culture. Many managers use FullyRamped to identify which reps need their attention most urgently, then conduct targeted 1:1s with AI scores as the conversation starter. The best managers layer their human judgment on top of AI insights—the AI tells them what happened, managers help reps understand why it matters and how to improve. This partnership makes coaching both more scalable and more impactful.
How does FullyRamped's AI scoring compare to manual call reviews by managers?
FullyRamped's AI evaluates 100% of calls consistently against defined criteria, while managers typically review only 5-10% of calls due to time constraints. AI scoring eliminates subjective bias—every rep is evaluated identically regardless of manager mood, relationships, or workload. The AI analyzes talk ratio, speed, filler words, discovery questions asked, objections handled, value propositions articulated, and methodology adherence (MEDDPICC, Challenger, SPIN, etc.). Managers save 15-20 hours per week on manual scoring but retain oversight—they can review AI scores, add personalized comments, and focus their limited time on strategic coaching rather than basic evaluation. Research shows sales reps with regular coaching outperform peers by 19%, but FullyRamped makes "regular" mean every call, not every tenth call.
What call recording platforms does FullyRamped integrate with?
FullyRamped has integrations with Gong, Clari and Salesloft, which allow you to seamlessly import call recordings for automatic AI scoring without changing your existing workflow. The platform analyzes call recordings to identify coaching opportunities, then creates AI twins (roleplay replicas) of challenging conversations for practice. The system processes audio files to generate transcripts, scores, and actionable feedback.
Can we customize the scoring criteria to match our sales methodology?
Absolutely. FullyRamped's AI scorecards are fully customizable to your specific sales methodology and priorities. Define your own evaluation criteria (discovery quality, objection handling, competitive positioning, closing effectiveness, etc.), assign criteria and goals, and align scoring to frameworks like MEDDPICC, BANT, SPIN, Sandler, or Challenger. You can create different scorecards for different call types (cold calls vs. discovery vs. demos) and different roles (SDR scorecards vs. AE scorecards). The Knowledge Hub stores your methodology documentation, talk tracks, and ideal responses, which the AI uses as benchmarks. This ensures reps aren't scored against generic "good sales" but against your organization's specific definition of excellence.
What happens after a call is scored—how do reps get feedback?
Immediately after a call is scored, reps receive AI-generated feedback showing exactly what they did well and where they need improvement. The feedback includes specific moments in the conversation (timestamped), recommended alternative approaches, and comparison to top performers. Reps can see metrics like talk-to-listen ratio, filler word frequency, whether they asked key discovery questions, and how they handled objections. Managers can then suggest relevant Practice Prospects to address weak areas—if a rep struggles with pricing objections, assign objection-handling practice scenarios. Managers get alerts when reps consistently underperform on specific skills, enabling targeted 1:1 coaching. This creates a closed-loop system: score call → identify gaps → practice scenarios → score next call → measure improvement.
Can FullyRamped turn real customer calls into practice scenarios?
Yes, this is one of FullyRamped's most powerful features—AI twins. When you identify a challenging or important customer call (a difficult objection, competitive situation, or complex stakeholder dynamic), FullyRamped converts it into an AI roleplay scenario. The AI analyzes the conversation's tone, objections, questions, and buyer behavior, then creates a Practice Prospect that mimics that exact situation. Reps can retry the call 10-20 times, experimenting with different approaches until they master it. This is invaluable for deal prep—if you're heading into a renewal negotiation tomorrow, import a similar past call, practice multiple strategies tonight, then execute confidently tomorrow. The AI doesn't replicate customer voices (privacy/security), but it captures the conversational dynamics, making practice incredibly realistic and immediately applicable.
How do we identify team-wide coaching opportunities vs. individual issues?
FullyRamped's team analytics dashboards aggregate performance data across your entire organization, revealing patterns that indicate systemic vs. individual gaps. For example, if 80% of your team struggles with competitive objections, that's a training gap requiring new content or methodology. If one rep consistently underperforms on discovery, that's an individual coaching opportunity. The platform provides skills gap analysis showing which competencies need attention across teams, regions, or roles. You can filter by rep, manager, call type, time period, or methodology component. This visibility helps enablement leaders prioritize initiatives (should we build competitive training or focus on discovery coaching?) and helps managers allocate their limited coaching time where it matters most. Export reports for leadership showing organizational strengths and weaknesses with quantified improvement recommendations.
Does AI scoring replace managers or change their role?
AI scoring doesn't replace managers—it amplifies their coaching impact by eliminating administrative burden. Instead of spending 15-20 hours weekly listening to calls and taking notes, managers review AI-generated scores and focus their time on strategic coaching conversations. The manager's role shifts from "evaluator" to "coach and mentor." They're freed from basic skill assessment (which the AI handles objectively) to focus on career development, complex deal strategy, emotional intelligence coaching, and team culture. Many managers use FullyRamped to identify which reps need their attention most urgently, then conduct targeted 1:1s with AI scores as the conversation starter. The best managers layer their human judgment on top of AI insights—the AI tells them what happened, managers help reps understand why it matters and how to improve. This partnership makes coaching both more scalable and more impactful.
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Join sales leaders who use AI to scale their coaching impact.