Clarification Handling in LINAT

What is Clarification Handling?

Clarification handling ensures that when a user query is ambiguous or has multiple possible meanings, the chatbot asks for more details before proceeding.

For LINAT, this is crucial because life insurance has multiple benefit categories (e.g., term insurance, wealth creation, retirement planning). Instead of assuming the user’s intent, LINAT asks for clarification.

Example of Clarification Handling in LINAT

Scenario 1: Ambiguous User Input

User: I want to buy life insurance.

Potential Issues:

• The user hasn’t specified whether they need term insurance, investment-based insurance, or retirement planning.
• Multiple response flows are possible.

LINAT's Response (Clarification Prompt):

LINAT: I can certainly assist you. Could you specify your primary objective for purchasing life insurance?

1. Protecting your family’s future
2. Retirement planning
3. Wealth creation
4. Child’s education or marriage fund
5. Other

How It Works:

• LINAT presents clear choices to guide the user.