Coaching that's
measurable
Stop listening to calls to find coachable moments. Semarize scores every conversation against your framework and returns structured signals you can trend, compare, and act on.
The problem
Coaching is
manual and subjective
Enablement teams can't scale coaching when it 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.
Improvement is unmeasurable
You can't track skill lift over time when scores come from different reviewers using different criteria.
Why existing tools fail
Existing tools describe calls,
not score them
Conversation intelligence platforms produce summaries and dashboards - but they don't return structured, queryable evaluation signals.
Deal intelligence platforms
Generate narrative summaries optimised for human review. You can't query "average objection handling score by rep" 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.
Call scoring tools
Return a single weighted total score (e.g. "Call Score: 72"). Collapses nuance. You can't isolate whether the issue was discovery, objection handling, or closing.
The Semarize approach
Semarize scores
every call, every time
Define Bricks for each coaching dimension. Bundle them into a Kit. Run every call 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.
Trendable metrics
Track objection_handling_score, talk_ratio, and discovery_depth per rep, team, and cohort over time.
Evidence-backed feedback
Every signal includes evidence spans showing exactly what the rep said. Coaching conversations start with data, not opinions.
Bricks & Kits
Example Bricks for
sales coaching
These Bricks evaluate the specific dimensions that matter for sales enablement & coaching teams. Bundle them into Kits to create reusable evaluation frameworks.
Did the rep set an agenda within the first 5 minutes?
Count of open-ended questions the rep asked
Proportion of call time the rep was speaking
How well the rep addressed objections raised
Quality and depth of discovery questions
Clear next action with owner and date agreed
Coaching Signals Kit
kitScores every call on the dimensions that matter for rep development.
Output
Structured signals,
not summaries
Every evaluation returns deterministic JSON with typed values, reasons, and evidence spans. Same schema every time.
{
"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 skill lift over time. Start building your coaching signals today.