Call transcript intent mining
Judges: One call-transcript snippet (text only). Questions: choice:caller_intent - new_patient_booking, price_shopping, existing_patient, wrong_number, vendor_spam, other; noul:contains_new_objection. Action: Counts feed audience and copy decisions; new objections go to the strat
AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.4.45
Key facts
- Vertical
- Healthcare & dental
- Function
- Sales
- Status
- Idea
- Volume
- routine
- Value
- meaningful
- Risk
- moderate
- Evidence
- —
- Flags
- None
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “Call transcript intent mining”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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