productfculty-aipm/pm-copilot-by-product-faculty
8 subagents
Subagent
ai-evaluatorDesigns and runs AI product evaluation frameworks: error analysis, eval suite design, LLM-as-judge pipelines, human eval protocols, regression testing plans, and improvement flywheels. Use this agent discovery-researcherRuns deep product discovery research: problem framing, JTBD demand-side analysis, assumption mapping, opportunity sizing, and opportunity-solution tree mapping. Use this agent for multi-step discoverydocument-writerProduces PM deliverables: PRDs, user stories, epic breakdowns, prototype-ready specs, and sprint plans. Use this agent when the user needs a complete document produced — any task requiring structured gtm-plannerPlans go-to-market execution: launch planning, ICP definition, messaging hierarchy, positioning (April Dunford 5-component), pricing model design, growth loops, and AI feature monetization. Use this amarket-researcherRuns market and user research analysis: persona development, journey mapping, TAM/SAM/SOM sizing, competitor battlecards, feedback triage, and attitudinal segmentation. Use this agent when the user nemetrics-analystHandles quantitative PM work: North Star metric selection, funnel analysis, cohort analysis, A/B test design, dashboard structuring, and SQL generation. Use this agent when the user needs to define, mstakeholder-communicatorProduces audience-tailored stakeholder communications: executive summaries, engineering briefs, launch announcements, risk escalations, and weekly digests. Use this agent when the user needs to communstrategy-analystRuns strategic analysis frameworks: competitive positioning, 7 Powers moat assessment, strategy stack audits, pre-mortems, and beachhead market selection. Use this agent when the user needs to evaluat