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AI lead qualification

Ask configured questions, capture answers and move a lead only after the criteria are met.

SHVYA product documentation

Define the qualification journey

Qualification runs in the designated New Lead stage. Create a clear, ordered list of questions in the Playbook and map important answers to CRM attributes. Write criteria separately; answering all questions does not necessarily satisfy a business requirement.

How a conversation should behave

  1. Respond to the customer's actual question first.
  2. Identify which qualification questions already have valid, customer-supplied answers.
  3. Acknowledge useful input and ask the next unresolved configured question.
  4. Save only validated values to existing, correctly typed organization attributes.
  5. When required criteria are met, request the configured stage transition through backend validation.
  6. In subsequent stages, use sales-support behavior rather than repeating already-answered New Lead questions.

Build robust question mappings

Use recognizable answers and synonyms, including option letters where relevant. Define how ambiguous statements should be clarified and what counts as a complete answer. Avoid treating the AI's own previous text or a template message as customer evidence.

Example

Question: Where do you currently manage new leads? Options: WhatsApp, Excel/Sheets or CRM. Map an answer such as “we use spreadsheets” to the exact accepted Lead Management Tool value.

Verify end to end

Test multi-answer messages, off-topic questions, short replies, code-switching between allowed languages and incomplete requirements in Sandbox. Then inspect a real test lead: the expected attributes should be stored and the stage should move at most once when the configured criteria are satisfied.

AI Brain · Stage shifting.

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