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Prompts Industry Market Tree JSON Template

analyst research template risk: low

Industry Market Tree JSON Template

Defines a JSON structure for industry analysis with placeholders for industry and region, a hierarchical tree of market levels including valuations and top players, and keyword ana…

PROMPT 

{
  "industry": "${industry}",
  "region": "${region}",
  "tree": {
    "level": "Macro",
    "name": "...",
    "market_valuation": "$X",
    "top_players": [
      {
        "name": "Company A",
        "type": "Incumbent",
        "focus": "Broad"
      },
      {
        "name": "Company B",
        "type": "Incumbent",
        "focus": "Broad"
      }
    ],
    "children": [
      {
        "level": "Sub-Niche/Micro",
        "name": "...",
        "narrowing_variable": "...",
        "market_valuation": "$X",
        "top_players": [
          {
            "name": "Startup C",
            "type": "Specialist",
            "focus": "Verticalized"
          },
          {
            "name": "Tool D",
            "type": "Micro-SaaS",
            "focus": "Hyper-Specific"
          }
        ],
        "children": []
      }
    ]
  },
  "keyword_analysis": {
    "monthly_traffic": "{region-specific traffic data}",
    "competitiveness": "{region-specific competitiveness data}",
    "potential_keywords": [
      {
        "keyword": "...",
        "traffic": "...",
        "competition": "..."
      }
    ]
  }
}

INPUTS

industry REQUIRED

The industry to perform market analysis on

region REQUIRED

The geographic region for the market analysis

EXPECTED OUTPUT

Format
json
Schema
json_schema · industry, region, tree, keyword_analysis
Constraints
  • valid JSON
  • match the hierarchical tree and keyword analysis structure

CAVEATS

Dependencies
  • industry parameter
  • region parameter
  • region-specific traffic data
  • region-specific competitiveness data
Missing context
  • Instructions for generating or using this JSON structure (e.g., LLM prompt text).
  • Input variables or data sources for filling placeholders like ${industry} and ${region}.
  • Examples of fully populated JSON.
  • Field definitions or validation rules (e.g., data types for market_valuation).
Ambiguities
  • Placeholders like "..." and "{region-specific traffic data}" are vague and do not specify expected content or format.
  • Unclear meaning of fields like "narrowing_variable".
  • "top_players" lacks criteria for selection or completeness.

QUALITY

OVERALL
0.70
CLARITY
0.75
SPECIFICITY
0.65
REUSABILITY
0.90
COMPLETENESS
0.50

IMPROVEMENT SUGGESTIONS

  • Precede the JSON with instructional text explaining its purpose and how to generate it, e.g., 'Output a market analysis in this exact JSON format...'
  • Replace vague placeholders like "..." with example values to illustrate expected content.
  • Add descriptions or enums for ambiguous fields, e.g., possible values for "type" and "focus" in top_players.
  • Specify output constraints like required fields, numeric formats for valuations/traffic, and array lengths.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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