# Post Call Analysis – Post-Call Data Retrieval 🔁
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.
***
#### 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.
***
#### 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.
***
#### 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.
