Live call
QA program
Sales Ops & Enablement — Upload recordings or pull via Gong, score against the same scorecards your team practices on, and watch the drift between how reps perform in simulation vs. live calls.
Scoring that holds up
Every Role-play Scored Against Your Playbook
Most tools give reps a number. PitchMonster gives managers a skill map. Custom scorecards grounded in your sales data, gap analytics by rep and scenario, and a dashboard built for the people who run the program.
Scorecard editor - every criterion is yours to set, weight, and update as your playbook changes.
Step 1 of 3
+400 sales teams already coaching with PitchMonster
Why AI scoring drifts - and how PitchMonster fixes it
A scorecard is only as good as what it's anchored to. If the setup is a one-line prompt, the model has nothing to score against - so it rewards fluency and penalizes silence, which has nothing to do with closing deals.
Custom scorecards - every line yours to control
You write the criteria. You set the weight. You decide what counts as passing. The scorecard editor lets you build against your specific playbook - different scorecards for different scenarios, stages, or ICP segments. When your playbook changes, update the scorecard. The historical scores stay intact; new sessions use the new criteria.
vs Gong / Mindtickle Gong scores calls against general sales patterns. Mindtickle locks criteria inside its content authoring flow. PitchMonster gives the scorecard editor directly to the enablement team - no dev work, no waiting on a CSM every time the playbook changes.
Scorecard editor - set criteria, weights, and pass thresholds without touching a template.
Skill-gap analytics built for managers, not HR
After a session batch the dashboard shows you which skills are dropping, which reps are below threshold, and which scenarios are generating the most repeat failures. That is the signal you need to decide where to focus coaching time - not an average score across the team.
vs SecondNature / FullyRamped SecondNature shows reps their own scores. PitchMonster gives managers a cross-rep skill map - so the Head of Enablement can spot a discovery call gap across the whole BDR team, not just one rep at a time.
Scoring grounded in the conversation - not just keywords
PitchMonster scores what happened in the conversation against the criteria in your scorecard. Not keyword matching. Not sentiment analysis. Did the rep handle the budget objection the way your playbook says to? Did they confirm next steps? Did they skip the qualification questions? Those are the things that close deals.
vs generic AI scoring Tools that score without a playbook anchor reward confident-sounding speech. A rep can score 90 by being fluent and direct while missing every critical qualification question. PitchMonster scores the substance - what was said and what was not said.
Scoring against your playbook - each criterion checked against the actual conversation.
What better scoring visibility changes
When managers see real skill gaps, coaching time goes to the right rep, the right skill.
- 8.3%Average increase in close rate
- 50%Decrease in ramp time
- 100%Enterprise renewal rate since spring 2024
How teams use
Call Analysis
Live call
Late-stage
drop-off
Managers with poor stage-to-close — Score late-stage calls against a close scorecard. See exactly where reps lose deals - discounting without qualifying, skipping next-step push, going quiet on the decision timeline.
Compliance in
regulated industries
Enablement & Compliance — Load approved messaging and forbidden claims as Knowledge Base. The AI flags any deviation on real calls. Pass/fail certification before a rep goes live - finance, pharma, insurance.
Post-training
knowledge checks
Sales Enablement — Reps forget 80% of training within a week. Score a call or role-play within 48 hours of the workshop on the same scorecard. Retention jumps from ~20% to ~90%.
Scoring feeds
the rest of the loop
Call Analysis works because of what happens before and after - the role-play that generates the data and the AI Coach that acts on it.
AIRole-play
Reps practice realistic conversations with AI buyers before speaking to real prospects. The AI adapts to objections, pushes back, and behaves like your actual ICP – across 27+ languages. A judgment-free space to fail, repeat, and get it right before it matters.
Learn more
Common questions
Gong scores real calls after they happen - great for post-call analysis. PitchMonster scores practice sessions against your playbook before real calls happen. The two work together: Gong tells you what went wrong on last week's calls; PitchMonster gives reps a place to fix it before next week's calls.