requirement-analysis-system提供产品需求分析的全流程技能,包括需求发现、分析、优先级判断及输出,支持多场景的结构化方法与工具应用。
Install via ClawdBot CLI:
clawdbot install ken0122/requirement-analysis-systemGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A new SaaS company is launching its first product and needs to define target users, identify core problems, and prioritize features for MVP development. This scenario involves using problem-statement, proto-persona, and prioritization-advisor to align the team and focus resources effectively.
A sales team is preparing a proposal for a large enterprise client and requires deep customer research, decision chain analysis, and tailored solution framing. This scenario leverages company-research, customer-journey-map, and feature-investment-advisor to craft a compelling value proposition and ROI analysis.
An established e-commerce platform is redesigning its user experience to reduce cart abandonment and increase customer loyalty. This scenario applies customer-journey-map, jobs-to-be-done, and opportunity-solution-tree to identify pain points, explore solutions, and validate improvements through experiments.
A healthcare app is expanding its features to include telemedicine and needs to analyze regulatory requirements, user safety concerns, and market opportunities. This scenario uses problem-framing-canvas, prioritization-advisor, and user-story to navigate complexity and ensure compliant, user-centric development.
A fintech company must overhaul its compliance processes due to new regulations and needs to frame the problem, assess risks, and prioritize updates across multiple teams. This scenario employs problem-framing-canvas, finance-based-pricing-advisor, and epic-hypothesis to manage costs and align with business goals.
This model involves recurring revenue from monthly or annual subscriptions, focusing on customer retention and upselling. It benefits from using prioritization-advisor and feature-investment-advisor to optimize feature roadmaps and maximize lifetime value.
This model targets large organizations with custom solutions, high-touch sales, and long contract cycles. It relies on company-research and finance-based-pricing-advisor to analyze client needs and justify premium pricing through ROI demonstrations.
This model offers a free basic version to attract users and monetizes through premium features or services. It uses jobs-to-be-done and opportunity-solution-tree to identify conversion triggers and design experiments that drive upgrades effectively.
💬 Integration Tip
Integrate this skill package by starting with discovery components like problem-statement to align stakeholders, then use analysis tools such as opportunity-solution-tree to structure decisions, and finally apply prioritization frameworks for resource allocation.
Scored Jun 19, 2026
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