SaaS Product Decision Assistant for Openclaw

Ensure that your local execution environment has Python configured along with the necessary binaries and permissions.

Command-Line Execution

You can run the Python script directly to parse structured analytical payloads into ready-to-view dashboards:

# Run the Python-based report generator
python ./scripts/report_generator.py \
  --name "AI Customer Support SaaS" \
  --category "Customer Relations" \
  --output "./reports/ai-support-feasibility.html" \
  --scores '{"market_demand": 85, "user_profile": 80, "pain_points": 75, "competition": 70, "monetization": 85, "acquisition": 75, "marketing": 80, "cost_structure": 70, "tech_feasibility": 90}' \
  --market-demand '{"score": 85, "market_size": "$15 Billion by 2026", "cagr": "14%"}'

Programmatic Integration

To call the underlying generator interface natively in your custom developer pipeline:

import sys
sys.path.insert(0, './scripts')
from report_generator import generate_report

data = {
    "name": "E-commerce Personalization Engine",
    "category": "Marketing Tech",
    "scores": {"market_demand": 82, "user_profile": 78, "pain_points": 80, "competition": 65, "monetization": 75, "acquisition": 70, "marketing": 72, "cost_structure": 80, "tech_feasibility": 85},
    "market_demand": {"score": 82, "size": "$8B", "trends": "High demand for AI personalizers"}
}

html_content = generate_report(data)
with open('ecommerce_saas_report.html', 'w', encoding='utf-8') as f:
    f.write(html_content)

The assistant leverages structured metrics to score and visualize technical viability. Key evaluations are organized into the following schema:

Weighted Multi-Dimensional Evaluation Matrix

Grading Levels

• Score >= 80: Strongly Recommended (High demand, clear monetization path, low entry friction).
• Score 65-79: Proceed with Caution (Healthy viability, but demands clear product differentiation).
• Score 50-64: Temporarily Hold (Requires deeper customer discovery or MVP proof-of-concept validation).
• Score < 50: Not Recommended (High operational hurdles, weak pricing power, or oversaturated markets).