AI support and feedback workflow guides
A useful AI workflow sends the right material to a person who can decide what to do. These guides cover organizing a feedback backlog, reviewing user content, and drafting answers with limits on what the system may claim.
Choose between reviewing content and drafting answers
Start with the feedback guide when you have an accumulated product backlog. Use the moderation guide for user content that needs a review decision. For sales questions, begin with approved product facts and define how the assistant should respond when information is missing.
For small product and support teams with existing feedback, user submissions, or approved product facts. The examples use DigitalOcean Batch Inference or Agent Platform and keep people responsible for final decisions.
Clean a Product Feedback Backlog Before Roadmap Planning
Organize a feedback backlog into groups that a product team can review.
Normalize the input, classify it with a controlled taxonomy, and give product managers the original evidence before they prioritize.
Evaluate a review queue for user-generated content
Route user-generated content to reviewers with clear decision rules.
Define the policy labels, preserve the original submission, and make escalation rules visible before you automate any routing.
Evaluate a sales answer assistant from approved product facts
Draft sales answers from approved facts and handle questions the source material cannot answer.
Use owned sources, show citations, test the refusals, and leave pricing, security, and contract decisions with the people accountable for them.
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