Semarize
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Use caseEnablement

Enablement that's measurable

Stop sampling calls to find coachable moments. Semarize scores every conversation against your framework and returns structured signals you can trend across reps, cohorts, and ramp stages.

Start buildingSee the product
Deterministic rubric scoring100% call coverageRamp & skill-lift tracking
SEnablementkit run

Kit

Coaching Signals Kit

agenda_setboolean
open_questions_askednumeric
talk_rationumeric
objection_handling_scorescore
discovery_depthscore

Output

{

"agenda_set": false,

"open_questions_asked": 6,

"talk_ratio": 0.62

}

The problem

Coaching is
manual and subjective

Enablement teams can't scale coaching or prove ramp impact when it all depends on managers listening to recordings and filling out spreadsheets.

QA sampling is limited

Managers review 5–10% of calls. The rest go unscored. Coaching insights are anecdotal, not systematic.

Framework adoption is inconsistent

MEDDICC, BANT, SPICED - teams adopt frameworks but can't measure whether reps are actually following them.

Coaching is subjective

Two managers score the same call differently. There's no consistent rubric applied at scale.

Ramp is a black box

You can't see which new-hire behaviours predict quota attainment, so onboarding can't be tuned to what actually works.

Why existing tools fail

Existing tools track completion,
not skill

Training platforms and call tools tell you what was watched or said - but not whether reps actually apply the skills on live conversations.

Deal intelligence platforms

Generate narrative summaries optimised for human review. You can't query "average objection handling score by cohort" because there is no score - just paragraphs.

Manual scorecards

Require managers to listen and fill in spreadsheets. Doesn't scale. Introduces reviewer bias. Can't trend reliably across reps or time.

LMS & training tools

Track course completion and certification, not whether the behaviour shows up on real calls weeks later.

The Semarize approach

Semarize scores
every call against your rubric

Define Bricks for each coaching dimension, bundle them into a Kit, and run every conversation through the same evaluation - automatically.

Deterministic rubric scoring

Each Brick evaluates one behaviour and returns a typed value. No narrative interpretation - just data.

100% call coverage

Every conversation gets scored. No sampling bias. Coaching insights are based on the full picture, not a random subset.

Ramp & skill-lift tracking

Trend objection_handling_score, talk_ratio, and discovery_depth per rep, cohort, and ramp stage over time.

Evidence-backed coaching

Every signal includes evidence spans showing exactly what the rep said. Coaching conversations start with data, not opinions.

Bricks & Kits

Example Bricks for
enablement

These Bricks evaluate the specific dimensions that matter for sales enablement & coaching teams. Bundle them into Kits to create reusable evaluation frameworks.

agenda_set
boolean

Did the rep set an agenda within the first 5 minutes?

→ false
open_questions_asked
numeric

Count of open-ended questions the rep asked

→ 6
talk_ratio
numeric

Proportion of call time the rep was speaking

→ 0.62
objection_handling_score
score 0–100

How well the rep addressed objections raised

→ 72
discovery_depth
score 0–100

Quality and depth of discovery questions

→ 58
next_step_confirmed
boolean

Clear next action with owner and date agreed

→ true

Coaching Signals Kit

kit

Scores every call on the dimensions that matter for rep development.

agenda_setboolean
open_questions_askednumeric
talk_rationumeric
objection_handling_scorescore
discovery_depthscore
next_step_confirmedboolean

Onboarding Ramp Kit

kit

Track the behaviours that predict new-hire ramp.

agenda_setboolean
discovery_depthscore
objection_handling_scorescore
next_step_confirmedboolean

Output

Structured signals,
not summaries

Every evaluation returns deterministic JSON with typed values, reasons, and evidence spans. Same schema every time.

Coaching evaluation response
{
  "run_id": "run_abc123",
  "status": "succeeded",
  "output": {
    "bricks": {
      "agenda_set": {
        "value": false,
        "confidence": 0.91,
        "reason": "No agenda established in opening",
        "evidence": ["...jumped straight into the demo..."]
      },
      "talk_ratio": {
        "value": 0.62,
        "confidence": 0.88,
        "reason": "Rep spoke for 62% of the call",
        "evidence": []
      },
      "objection_handling_score": {
        "value": 72,
        "confidence": 0.84,
        "reason": "Addressed pricing objection but missed security concern",
        "evidence": ["...we can work on pricing...", "...security is a big concern for us..."]
      }
    }
  }
}

Coach with data,
not opinions.

Score every call against your framework. Track ramp and skill lift over time. Start building your coaching signals today.

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