Post Call Analysis – Post-Call Data Retrieval 🔁

This feature allows you to specify what information you want to extract from each interaction once the call has ended.

Extracting this data is essential for facilitating analysis, generating reports, or defining follow-up actions.

In all cases, follow these steps:

• Step 1: Give the data point a name

• Step 2: Write detailed instructions

• Step 3: Provide formatting examples (Optional)

You can extract the following data types from post-call analysis:

Text (String):

Used to capture written, detailed information such as names, descriptions, and open-ended responses.

Example:

Call summaries, action items, or key topics discussed.

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Selector (Enumeration):

Used to categorize information from a fixed list of predefined options.

Ideal when the user must choose from a limited set, such as dropdowns or selection menus.

Example:

Issue types, product categories, or resolution status.

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Boolean (True/False):

Used for simple yes/no determinations.

Stores a logical value, either “true” or “false”. Useful for binary conditions like yes/no, true/false, or accept/reject.

Example:

Whether the customer answered for the first time.

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Number (Numeric Value):

Ideal for quantitative measurements.

Represents numeric values—integers or decimals. Great for calculations, comparisons, or representing quantitative data like ages, amounts, prices, etc.

Example:

Transaction amounts, call duration, or satisfaction scores.