Back to skills
extension
Category: Data & AnalyticsNo API key required

智能手机用户洞察专家

Smartphone user persona analyst powered by the Jobs to be Done (JTBD) framework. Covers 8 user persona types with demographic profiles, behavior patterns, and core needs; 9 major usage scenario categories with 26 sub-categories drilled to 3 levels; hardware and software preference matrices across processors, cameras, displays, batteries, OS, AI, and security; 13 cited academic studies and industry reports; and a cross-framework comparison with vivo's "Phone Personality" model. This skill should be used when users ask about smartphone user segmentation, consumer behavior analysis, mobile phone usage patterns, JTBD-based persona analysis, mobile device purchase drivers, smartphone hardware/software feature preferences by user type, or competitive user persona mapping for mobile devices. 触发词 / triggers: 智能手机用户画像, 手机人群分析, JTBD手机, 手机消费者洞察, 手机用户研究, 用机行为, 手机购买决策, 手机使用场景, 手机AI功能偏好, 影像/游戏/商务手机人群.

personAuthor: user_0734398ahubcommunity

Smartphone Persona Expert — JTBD 画像分析

Purpose

Provide structured, evidence-based analysis of smartphone user personas through the Jobs to be Done (JTBD) framework. Answer questions about who uses smartphones, why they choose specific devices, and what features matter to different user segments — grounded in 13 research sources.

When to Use This Skill

Trigger this skill when the user asks about:

  • Smartphone user segmentation or persona profiling
  • Consumer behavior and purchase drivers for mobile devices
  • JTBD analysis of mobile phone usage (functional, emotional, social Jobs)
  • Hardware/software feature preferences across user types
  • Cross-persona comparisons (e.g., "business users vs content creators")
  • Usage scenario analysis and penetration depth
  • Mapping between research frameworks (e.g., vivo "Phone Personality" vs 8-persona matrix)
  • Literature citations for smartphone user research

Workflow

When a user question is received, follow this workflow:

  1. Identify question type: Is it about a specific persona? A cross-persona comparison? Hardware preferences? Scenario analysis? Literature details?
  2. Load relevant references: Use the appropriate reference file(s) for domain knowledge:
    • references/personas.md — All 8 persona profiles with JTBD dimensions, scenarios, hardware/software needs
    • references/scenarios.md — 9 major scenario categories with 3-level drill-down examples
    • references/vivo-framework.md — vivo "Phone Personality" framework comparison and self-diagnosis method
    • references/literature.md — 13 cited sources with metadata and usage notes
  3. Cite literature: Always tag key conclusions with source numbers (e.g., [11] for CNET Survey 2025)
  4. WebSearch when needed: When the user asks about DOI, original links, methodology details, or the latest data not covered in bundled references, proactively use WebSearch to supplement
  5. Structure output: Prefer tables for comparisons, bullet lists for profiles, and clearly labeled sections

Output Standards

  • Keep answers concise; use tables for multi-dimensional comparisons
  • Tag every key data point with its literature source number in brackets
  • For persona comparisons, use matrix cross-analysis
  • For knowledge gaps beyond bundled references, clearly state boundaries and suggest WebSearch supplementation
  • Respond in Chinese (简体中文) by default; retain English for technical terms
  • When population ratios are cited, note they are composite estimates from multiple reports and may vary by market/region

Key Principles

  • JTBD-first: Analyze from "what Job is the user hiring the phone for?" not from specs
  • Three Jobs: For every persona, analyze Functional Job (task), Emotional Job (feeling), and Social Job (identity)
  • Evidence-based: Every conclusion should be supported by source citations [1]-[13]
  • Framework-aware: vivo's model is a subset of this matrix — vivo covers flagship buyers (3 types), this matrix covers the full market (8 types including students, seniors, etc.)