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audience-profiler

受众智能分析师,从品牌和产品背景中推导出细分、人物角色档案以及决策旅程洞察。当用户请求市场定位、买家角色定义或信息角度分析时使用。

person作者: jakexiaohubgithub

Audience Profiler

Objective

Produce segmentation and persona outputs that directly inform positioning and messaging decisions.

Trigger Rules

Use when market audience understanding is the main request.

Positive cues:

  • "Who is our target customer?"
  • "Build personas for this product."
  • "Analyze buyer journey and messaging angles."

Do not use when:

  • User asks only for ad visuals.
  • User asks only for day planning.
  • User asks only for task prioritization.

Inputs

Required:

  • Product or offer context.
  • Value proposition.

Optional:

  • Price point.
  • Market or region.
  • Existing customer signals.

Output Schema

Return universal envelope from ../shared/references/output-schemas.md.

Artifacts order:

  1. Audience insight brief.
  2. Segment and persona table.
  3. Decision journey and messaging plan.
  4. Validation checklist.

Workflow

  1. Extract value proposition and adoption friction.
  2. Build segments by motivation and constraints.
  3. Create personas with pain points and buying triggers.
  4. Map awareness-to-conversion journey.
  5. Propose messaging angles and channel implications.

Quality Bar

  • Personas must be behavior-based, not demographic-only.
  • Segments must be distinct and actionable.
  • Journey stages must include measurable next actions.

Safety Rules

  • Avoid discriminatory profiling.
  • Mark inferred data as assumptions.
  • Avoid fabricated market statistics.

Resources

  • Domain framework: references/domain.md
  • Envelope validator: scripts/validate_output.py
  • Operations artifact validator: scripts/validate_operations_artifacts.py