hackathon-problem-space

hackathon-problem-space

目标

通过识别目标用户、核心痛点、现有解决方案和空白机会，为黑客松项目绘制问题领域图谱。

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触发条件

在以下情况下使用此技能：

• 已分析某个黑客松赛道，且已有 track_summary
• 团队需要在生成创意之前确定目标用户
• 问题领域范围较广，需要在构思前缩小范围
• 需要调研现有解决方案，以找出值得探索的空白
• hackathon-track-analyzer 完成后立即调用

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输入

输入	类型	必填	描述
track_summary	string	是	hackathon-track-analyzer 的输出或手动描述
domain	string	是	宽泛的领域（例如医疗保健、金融科技、教育）
target_user_hint	string	否	对目标用户群体的初步假设
constraints	string[]	否	已知的技术或赞助方限制

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输出

输出	描述
user_segments	已识别的用户群体及其简要画像
pain_points	按用户群体列出的痛点排名
existing_solutions	当前用于解决问题的已知工具或方法
solution_gaps	现有解决方案中的机会空白
problem_statement	一句话问题陈述（How might we 格式）
market_signals	证明问题真实存在且值得解决的证据
recommended_skills	建议接下来调用的技能

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规则

1. 至少识别 2 个不同的用户群体。
2. 针对每个群体，将痛点按严重程度从高到低排序。
3. 列出至少 3 个现有解决方案，并说明其主要局限。
4. 根据痛点与现有解决方案局限之间的差距，推导出解决方案空白。
5. 按以下格式撰写问题陈述：“我们如何为 [用户] [采取行动]，从而实现 [结果]？”
6. 不要编造市场信号；对推断出的信号明确标记为 [INFERRED]。

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输出格式

user_segments:
  - segment: "<name>"
    profile: "<brief description>"

pain_points:
  - segment: "<name>"
    pains:
      - severity: "<high|medium|low>"
        description: "<pain>"

existing_solutions:
  - name: "<solution>"
    limitation: "<key gap>"

solution_gaps:
  - "<gap description>"

problem_statement: "<How might we ...>"

market_signals:
  - source: "<real|[INFERRED]>"
    signal: "<description>"

recommended_skills:
  - "<skill-name>"

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示例

输入：

track_summary: "Use AI to improve mental health outcomes for young adults."
domain: "mental health / digital health"
target_user_hint: "college students experiencing anxiety"
constraints:
  - "Must use OpenAI GPT-4 API"

输出：

user_segments:
  - segment: "College students"
    profile: "Ages 18–22, high stress, low access to campus counseling"
  - segment: "Young professionals"
    profile: "Ages 23–30, work-related burnout, too busy for scheduled therapy"

pain_points:
  - segment: "College students"
    pains:
      - severity: "high"
        description: "2–6 week wait times for campus counseling appointments"
      - severity: "high"
        description: "Stigma prevents help-seeking behavior"

existing_solutions:
  - name: "Woebot"
    limitation: "Rigid scripted responses; no memory across sessions"
  - name: "BetterHelp"
    limitation: "Expensive ($60–$100/week); not accessible to students"
  - name: "Headspace"
    limitation: "Meditation only; does not address acute anxiety episodes"

solution_gaps:
  - "No affordable, always-available, context-aware emotional support for acute moments"
  - "No peer-community facilitation layer between self-help and professional care"

problem_statement: "How might we provide always-available emotional support for college students so that they can manage anxiety between professional appointments?"

market_signals:
  - source: "real"
    signal: "40% of US college students reported anxiety as top mental health concern (ACHA 2023)"
  - source: "[INFERRED]"
    signal: "Rising demand for async, text-based support given phone anxiety in Gen Z"

recommended_skills:
  - "hackathon-idea-generator"

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上下文文件

知识库

• ../hackathon-shared-resources/knowledge/hackathon-judging-criteria.md
• ../hackathon-shared-resources/knowledge/hackathon-winning-patterns.md
• ../hackathon-shared-resources/knowledge/hackathon-mvp-strategy.md
• ../hackathon-shared-resources/knowledge/hackathon-common-failures.md

操作手册

• ../hackathon-shared-resources/playbooks/hackathon-workflow.md