Feature requests arrive scattered across email, support tickets, team chat, and surveys, forcing product managers to manually hunt, extract, and deduplicate them. Scoring and prioritization happen inconsistently, and many requests go unacknowledged or get lost entirely.
Automation monitors all request channels simultaneously, extracts structured data, detects duplicates with high accuracy, and applies consistent scoring rules. The product manager reviews a pre-prioritized list and attends shorter, more focused roadmap meetings.
The full workflow, from trigger to completion.
A new request arrives via email, support ticket,, or survey. The automation platform monitors all four channels and captures the request text, source, and customer details.
The automation extracts the request text, customer name, email, and submission channel. It standardizes the format and stores it in a central database.
The automation compares the new request against all previous requests using semantic similarity. If a match is found above a confidence threshold, it increments the duplicate counter on the existing request.
The automation applies a consistent scoring formula based on customer segment, request frequency, alignment keywords, and estimated effort. It assigns an impact score (1-10) and effort score (1-10).
The automation assigns the request to a feature category using keyword matching and predefined rules. The category is stored alongside the score.
The automation creates a new record with the request details, scores, category, and duplicate count. High-priority requests are flagged for immediate review.
The automation sends a templated acknowledgment email to the requester, confirming receipt and providing an estimated review timeline.
The automation sends a notification to the product manager with a summary of high-priority requests ready for review. The notification includes the top 3 requests by score.
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