{
  "schema_version": "CandidateScoringRubricV2",
  "generated_at": "2026-07-06T19:52:06.461Z",
  "role_key": "growth-marketer",
  "role_title": "Growth Marketer",
  "score_range": "0-100",
  "hard_fail_cap": 59,
  "dimensions": [
    {
      "key": "hard_requirements_fit",
      "label": "Hard requirements fit",
      "weight": 25,
      "guidance": "Strictly rewards concrete evidence that the candidate satisfies the role's HARD requirements. If a hard requirement is missing or contradicted, this score must be low and passes_all_hard must be false."
    },
    {
      "key": "functional_expertise",
      "label": "Functional expertise",
      "weight": 20,
      "guidance": "Rewards depth and specificity in the core function requested by the role, such as SEO, paid media, lifecycle, content, brand, creative, analytics, or growth."
    },
    {
      "key": "industry_audience_relevance",
      "label": "Industry and audience relevance",
      "weight": 12,
      "guidance": "Rewards comparable company stage, industry, audience, business model, regulatory context, marketplace, B2B/B2C motion, or customer segment evidence when relevant to the brief."
    },
    {
      "key": "hands_on_execution",
      "label": "Hands-on execution",
      "weight": 15,
      "guidance": "Rewards candidates who personally build, ship, optimize, write, manage, analyze, or execute the work. Penalize profiles that only show delegation or high-level advisory work when the role needs an operator."
    },
    {
      "key": "strategy_and_judgment",
      "label": "Strategy and judgment",
      "weight": 10,
      "guidance": "Rewards diagnosis, prioritization, planning, creative judgment, testing judgment, or ability to translate business goals into a practical marketing plan."
    },
    {
      "key": "tool_platform_fit",
      "label": "Tool and platform fit",
      "weight": 8,
      "guidance": "Rewards evidence with tools, platforms, channels, analytics systems, ad platforms, CMSs, ESPs, CRMs, or workflows that the role explicitly or strongly implies."
    },
    {
      "key": "measurement_optimization",
      "label": "Measurement and optimization",
      "weight": 6,
      "guidance": "Rewards reporting, experimentation, KPI ownership, funnel diagnosis, performance iteration, attribution, and ability to improve results from evidence."
    },
    {
      "key": "availability_budget_fit",
      "label": "Availability, budget, and engagement fit",
      "weight": 4,
      "guidance": "Rewards fit to budget, timeline, geography/timezone, availability, engagement type, and communication expectations. These are soft unless the requirements make them hard."
    }
  ],
  "notes": [
    "This fixed rubric is role-neutral. The LLM applies each dimension against the specific brief, classified requirements, and candidate profile evidence.",
    "The pipeline recomputes the final score from these dimensions and caps hard-fail candidates at 59."
  ]
}