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Stakeholder Request Intake Organizer
Transform scattered feature requests from multiple sources into an organized, prioritized backlog with duplicates identified and urgency signals extracted.
What You Get
Save 4-6 hours of manual organization work by automating categorization, duplicate detection, urgency analysis, and professional backlog description writing. Get from chaos to clarity in 3 minutes.
The Problem
The Solution
How It Works
- 1 Parse raw input text to extract distinct feature requests with stakeholder attribution and dates
- 2 Categorize each request by type (integration, enterprise feature, bug, enhancement, performance, pricing, export, technical debt)
- 3 Identify and group duplicate requests across different sources and stakeholders
- 4 Extract urgency signals including lost deals, churn reasons, executive directives, support volume patterns, and competitive blockers
- 5 Assign priority levels (P0/P1/P2/P3) based on business impact, urgency signals, and stakeholder importance
- 6 Generate comprehensive intake report with categorized requests, duplicate detection, stakeholder attribution, backlog-ready descriptions, and recommended prioritization for next quarter
What You'll Need
- Raw request text from any sources (Slack, email, meetings, support tickets, etc.)
- Optional: Product context for better categorization
- Optional: Current roadmap focus for alignment
- Optional: Known priorities (executive directives, strategic initiatives)
Get This Skill
Requires Pro subscription ($9/month)
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Request ImprovementsExamples
CEO Directive with Revenue Impact and Quality Issues
Demonstrates parsing of high-urgency requests from executive leadership (CEO Q2 deadline), sales (lost $40k deal), and support patterns (3 tickets in one week). Shows proper priority assignment (P0/P1), urgency signal extraction, duplicate detection (3 support tickets consolidated), and strategic observations about enterprise readiness themes.
Duplicate Detection Across Multiple Sources
Showcases the skill's ability to identify duplicate requests across different communication channels (Slack, email, support). Salesforce integration requested 2 times (Slack + customer email) gets consolidated into single P1 request. Also demonstrates handling of technical blocker (API rate limits) with appropriate urgency assignment based on customer impact.
Mixed Priority Feature Requests Without Critical Signals
Tests proper handling of lower-priority feature requests without urgent business signals. Demonstrates correct priority assignment based on stakeholder volume (4 customers for Zendesk = P2, 8 users for dark mode = P3, 1 user for CSV = P3). Shows skill appropriately recommends monitoring and deferring lower-priority items while identifying the clearest priority (Zendesk) for next quarter.