n8n App Store Review Triage: Claude to Slack Engineering Alerts

Turn App Store reviews into actionable engineering alerts—automatically

This n8n workflow triages incoming App Store reviews, uses Anthropic Claude to identify and deduplicate real technical complaints, and then routes the right severity to Slack engineering while updating—or creating—issues in your bug tracker.

What this workflow does

• Receives App Store reviews via a POST webhook and normalizes key fields such as rating, review text, platform, version, and reviewer handle.
• Classifies reviews with Anthropic Claude to determine whether the feedback is a genuine technical complaint, assign an app area and severity, and generate a normalized issue summary.
• Filters non-technical feedback: non-technical reviews are marked as log-only and skip ticket creation.
• Searches for similar complaints using a complaint-search API, then uses Claude to decide whether the review matches an existing complaint cluster.
• Checks your bug tracker via HTTP API to find the best matching open issue above a confidence threshold.
• Updates or creates tickets: if a match is found, it updates the existing bug with the review as evidence and the reassessed severity; otherwise, it creates a new engineering ticket.
• Alerts engineering in Slack with the issue summary, severity, and review details—then logs the outcome to a tracking-log API.

Use cases

• Reduce engineering triage time by automatically spotting technical App Store complaints and ignoring unrelated feedback.
• Prevent duplicate bug reports by using Claude-driven deduplication against recent complaint clusters.
• Provide your team with consistent Slack alerts that include normalized summaries and severity.

Technical details

• Key n8n nodes: if, set, code, merge, slack, switch.
• Integrations: Anthropic Claude, a complaint-search API, a bug tracker HTTP API, Slack, and a tracking-log API.