AI Product Manager Capabilities
Customer Feedback Synthesis
Query: Synthesize this quarter's customer feedback into themes
Bloomy aggregates feedback from support tickets, sales calls, NPS surveys, user interviews, and social mentions. Clusters them into actionable themes ranked by frequency and revenue impact. Identifies that onboarding friction is the top theme with 142 mentions and 68% of churned users citing setup complexity.
PRD and User Story Generation
Query: Write a PRD for the new onboarding flow
Bloomy generates complete PRDs with user stories, acceptance criteria, and technical specifications. Breaks down effort by area (Frontend 35%, Backend 30%, Design 20%, QA 15%). Creates 8 user stories with 24 acceptance criteria ready for engineering review. Can push directly to Linear, Jira, or GitHub.
RICE-Based Feature Prioritization
Query: Rank our backlog by impact using RICE scores
Bloomy calculates RICE scores using real data: reach from customer base size, impact from feedback sentiment and revenue signals, confidence from data quality, and effort from engineering estimates. Identifies SSO Support as highest priority (RICE 892) with 12 enterprise deals blocked.
Roadmap Automation
Query: Update the Q3 roadmap with completed items
Bloomy syncs delivery status from project management tools, recalculates timelines, and updates roadmap views. Shows 14 of 28 features shipped (50%), identifies items on track and at risk, and generates changelog drafts for stakeholder communication.
Competitive Landscape Analysis
Query: How does our pricing compare to competitors?
Bloomy researches competitor pricing, features, and market positioning. Compares per-seat pricing across the landscape, identifies pricing gaps and opportunities, and models revenue impact of potential price changes. Tracks competitor feature launches and alerts on market shifts.