loop

Score every rep against what actually closes deals.

See a heatmap of every rep across the predictors that actually drive your deals, with trends, coaching priorities, and the next play to run.

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See how it works
THE PROBLEM

Rubrics grade the call, not the outcome.

Call-scoring tools rate tone and talk ratio against a generic rubric. None of it ties to whether reps hit the things that predict your wins.

  • Call scoring: generic rubric No outcomes
  • Talk ratio: 42% — "Good"
  • Filler words: 8 — "Average"
  • Questions: 12 — "Strong"
  • Grades the call — never tells you if they'll close
WHY IT MATTERS

Coaching should target the signals that predict revenue.

Your best reps aren't winning because they talk less. They win because they multi-thread, engage champions, and hit the patterns your model proves. Coach on that.

HOW IT WORKS

Team View in three steps.

01

Every rep, every predictor.

Team View grades each rep across your frameworks and the custom predictors your AI model promoted.
02

Top performers vs. the field.

See who's improving, flat, or declining, and how each rep's pattern compares to the cohort and to your top quartile.
03

Priorities matched to lost deals.

Loop flags coaching priorities by matching declining reps to historical lost-deal cohorts, then suggests the play and the 1:1 to run.
CUSTOMER OUTCOMES

Teams using Team View see compounding results.

Per-rep
Predictor scoring
Top Q
Cohort comparison
Matched
Coaching to lost-deal patterns
"Fluint gave us months of AI engineering work with a single integration. Now everything we coach our reps on is grounded in how we win, with the right context for every chat, skill, agent and seller."
Quincy L, GTM AI Lead
Defensestorm
HOW IT COMPARES

Fluint vs. Call-Scoring Tools. Why rubrics aren't enough.

One grades talk tracks; the other grades what predicts revenue.
What matters
Fluint
Recommended
Context graphs * search
e.g. glean, notion ai
Revenue judgement
Deal dimensions with revenue impact isolated & labeled
Map connections
Improves over time
Yes, closed loop retrains on the outcome
Re-curated when relationships change
Carries process & rules
Yes, into every workflow
Varies, mostly entities
Delivery & upkeep
One MCP call, fully managed
MCP, with DIY inputs to maintain
Model-agnostic
Yes, outlives any one model
Usually
What matters
Fluint Recommended
Call-scoring & coaching
Gong, Clari, Highspot
Scored against
Predictors that close your deals
A generic call rubric
Powered by
Your private model
Conversation analysis
Rep-to-rep comparison
Yes, vs. cohort and top quartile
Limited
Coaching priority
Matched to lost-deal patterns
Manager judgment
Ties to revenue outcomes
Yes
Indirectly

Questions about Team View.

What predictors are reps scored against?

Reps are scored against the custom predictors your private model promoted — things like multi-threading, champion engagement, and compelling events — plus any frameworks you've defined. These are the signals statistically proven to predict wins in your business.

How does coaching priority work?

Loop matches declining rep patterns to historical lost-deal cohorts. If a rep's multi-thread score is trending like deals that stalled last quarter, it flags that rep and suggests the specific play to run in their next 1:1.

Can I compare reps to the top quartile?

Yes. Team View shows each rep's predictor scores relative to the full cohort and specifically highlights how they compare to your top quartile performers. You see exactly which behaviors separate the best from the rest.

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Coach on the signals that close.

Start free and score every rep against the predictors that close deals.

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