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DialNexa post-call analysis extracts structured fields from a completed call. Users can add text, selector, boolean, and number fields so Call History and exports show outcomes such as summary, call result, customer interest, age, qualification, or next step. DialNexa Post-Call Analysis settings panel showing a custom Demo Date and Time field with edit, delete, and add controls.
If operations needs a column later, define the field before the campaign. Future-you has enough to do.

Supported Field Types

Choose the type that matches the value you need.
TypeBest forExample
TextFree-form summaries or notes.call_summary
SelectorOne value from a known set.call_outcome: Resolved, Escalated, Follow-up Required
BooleanTrue or false outcomes.customer_interested
NumberNumeric values.customer_age or payment amount

Where Results Appear

Post-call fields become operational data after the call.

Call detail custom section

Custom extracted values appear on the call detail page.

CSV exports

Exports can include extracted fields for reporting.

Workflow decisions

Workflow paths can reason about call attributes when configured.

QA review

Annotations and transcript review can explain why a field was wrong.

Write Strong Extraction Fields

1

Name the field like a column

Use names that will make sense in exports.
2

Describe the evidence

Tell the extractor exactly what part of the conversation proves the value.
3

Use selector options for finite outcomes

Do not ask for free text when operations needs a clean report.
4

Test on real calls

Check whether the transcript contains the evidence needed to extract the field.

Extraction Problems

The transcript may not contain the fact, or the description may be too vague.
Use clearer allowed options and descriptions.
Define what counts as true and false.
Published versions protect live settings. Edit a draft version.

Post-Call Analysis Results

Review extracted fields.

Exporting Call Data

Export analysis columns.

Call Detail Page

Inspect one call.