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Found 14 Skills
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
Product discovery and requirements analysis specialist. Conducts stakeholder interviews, market research, problem discovery, and creates product briefs. Use for product brief, brainstorm, research, discovery, requirements gathering, problem analysis, user needs, competitive analysis, and setting foundation before product planning. Hands off to product manager when analysis complete.
Expert in bridging the gap between business needs and technical solutions. Specializes in Requirements Engineering, BPMN, and Agile User Stories. Use when gathering requirements, creating user stories, modeling business processes, or translating business needs to technical specs.
Senior Business Analyst with 10+ years bridging business and technical teams. Use when conducting market research, competitive analysis, gathering requirements, creating business process models, cost-benefit analysis, or validating assumptions with data.
[production-grade internal] Receives, evaluates, and validates client information before action — structured elicitation, critical evaluation, feasibility analysis, and information completeness gatekeeping. Ensures requirements are complete, consistent, and feasible before handing off to Product Manager. Routed via the production-grade orchestrator.
Run a structured business analysis workflow: requirements elicitation with stakeholder interviews and MoSCoW prioritization, as-is/to-be process mapping with BPMN notation, data-driven analysis (CBA, SWOT, root cause), and production-ready documentation (BRD, FRD, user stories with INVEST acceptance criteria). Triggers on "gather requirements", "write user stories", "map business process", "BRD", "FRD", "gap analysis", "cost-benefit analysis", "facilitate workshop", "business requirements", "process mapping", "as-is to-be", "stakeholder interview", or "business analyst". For management consulting (issue trees, steerCo business cases, operating model), use business-consultant—not business-analyst. For business model canvas, market sizing, and unit economics research, use business-model-researcher. Human data / labeling platform PRDs: product-management-human-data-platform. Monetization PRDs and packaging: product-management-monetization.
Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios
Generate comprehensive market opportunity analysis with TAM/SAM/SOM calculations
Generate comprehensive investor-ready business case document with market, solution, financials, and strategy
Guides management consulting-style work—engagement framing, hypothesis-driven problem structuring, issue trees, business cases, operating model and capability design, strategic options analysis, workshop facilitation, and executive recommendations (not legal advice). Use when diagnosing a business problem, structuring a strategy or transformation initiative, building a business case for leadership, designing target operating models, preparing steerCo or board recommendations, or advising on build-vs-buy and portfolio priorities—not for detailed requirements/BRDs (business-analyst), multi-team delivery tracking (technical-program-manager), contract negotiation (commercial-counsel), revenue accounting (senior-revenue-accountant), applied AI architecture (applied-ai-architect-commercial-enterprise), or system ADRs (senior-system-architecture). Canvas/TAM: business-model-researcher. Comms: communication-lead. M&A closing: transaction-manager. M&A principal/IC: transaction-principal.
Guides product management for human data platforms—annotation and labeling products, workforce workflows, task design, quality systems (gold sets, adjudication, inter-annotator agreement), customer ML-team project delivery, contributor experience, and privacy-safe handling of human-generated training data. Use when prioritizing roadmap for labeling/RLHF/eval data platforms, writing PRDs for annotation or QA features, defining success metrics for throughput and quality, scoping enterprise customer workflows, or balancing cost-quality-speed tradeoffs—not for hands-on model training (data-scientist), warehouse/analytics pipelines (data-warehouse-engineer), generic BRD workshops without product lens (business-analyst), AI solution architecture for copilots (applied-ai-architect-commercial-enterprise), or control implementation for audits (compliance-engineer). UX flows: product-designer. Eval harnesses: prompt-engineer-agent-prompts-evals. Pricing/packaging for platform: product-management-monetization.
Guides commercial contract review and negotiation support for B2B agreements—MSAs, SaaS/order forms, vendor and customer contracts, DPAs, SLAs, limitation of liability, indemnity, IP, payment terms, and redline/issue logs with business impact notes. Use when reviewing or negotiating commercial terms, comparing vendor or customer paper, drafting negotiation positions, or triaging contract risk before sign-off—not for SOC/ISO GRC programs or vendor questionnaire ops (compliance-specialist), technical audit evidence (compliance-engineer), revenue recognition under ASC 606 (senior-revenue-accountant), or product requirements (business-analyst), strategy (business-consultant). Corporate/board: corporate-counsel. AI architecture for contract review: applied-ai-architect-commercial-enterprise. M&A economics mandate: transaction-principal. Drafting assistance only; human counsel must approve.