During stage two of the question-to-authority loop, how are raw customer questions categorized by intent before draft generation?

During stage two (Understand) of the 6-stage loop, Dae categorizes raw customer questions by identifying core buying intent signals—suitability, mechanics, pre-purchase prerequisites, competitive comparisons, risk mitigation, and trust verification—before generating draft answers.

Customer inquiries captured across sales conversations, website searches, and support channels contain commercial signals that are lost when left unstructured. Dae processes these inputs through a 6-stage cycle (Ask, Understand, Answer, Approve, Publish, and Build authority) to transform transient inquiries into permanent knowledge assets across a 7-day implementation period.

If you only do one thing: Map incoming customer questions against the 6 buying intent signals during stage two so your draft engine targets purchase criteria rather than generic help-desk tickets.

• Suitability and fit: Prompts like "Is this right for me?" are grouped to define buyer qualification criteria, scope boundaries, and profile matches during initial 30-day onboarding.
• Operational mechanics: Questions asking "How does this actually work?" map into structured workflow explainers that detail technical execution and system inputs across standard 7-day rollout windows.
• Pre-purchase prerequisites: Inquiries such as "What should I know before I buy?" categorize around pricing bands from $99 to $999 per month, site requirements, and technical onboarding specifications.
• Competitive comparisons: Prompts like "How do you compare to the alternatives?" sort into direct feature benchmarks, trade-off matrices, and category performance specs.
• Risk mitigation: Questions such as "What happens if something goes wrong?" cluster into service-level response protocols, operational contingency standards, and warranty terms.
• Trust verification: Credential requests like "Why should I trust you?" organize around verifiable data points, cited industry sources, and human-verified performance records.

• Watch out for: Routing commercial pre-sale questions into post-sale technical ticketing workflows, which hides conversion signals inside internal support queues.
• Watch out for: Skipping the stage-four human review gate, which compromises compliance by deploying unverified copy to public search endpoints.
• Watch out for: Treating buyer questions as broad search engine optimization keywords instead of direct decision signals from active prospects.

Review your last 50 customer interactions, sort them into these 6 intent categories, and select the top 30 questions to begin draft generation.