Trend Analysis

Overview

Analyze trends and patterns in data

Use Cases

• Professional analysis projects
• Team collaboration and documentation
• Quick content generation with consistent quality
• Automated workflow integration

Template

Perform trend analysis on:

Data description: {{dataDescription}}
Time period: {{timePeriod}}

Data points to analyze: {{dataPoints}}

Analysis type: {{analysisType}}

Context:
{{context}}

Include:
- Trend identification and classification
- Seasonal patterns
- Outliers and anomalies
- Correlation analysis
- Statistical significance tests
- Predictive insights
- Visual representations
- Business implications

Comparison benchmarks: {{benchmarks}}

Properties

• dataDescription: Multi-line Text (default: Describe the data being analyzed (e.g., user behavior, sales figures, website traffic))
• timePeriod: Single Selection (default: Last 12 months)
  • Options: Last 7 days, Last 30 days, Last 90 days, Last 6 months, Last 12 months, and 2 more
• dataPoints: Multi-line Text (default: List the key data points to analyze (e.g., price, volume, user count, conversion rate))
• analysisType: Single Selection (default: Time series)
  • Options: Time series, Regression, Comparative, Predictive
• context (optional): Multi-line Text (default: Provide business context (e.g., market changes, product launches, seasonality))
• benchmarks (optional): Multiple Selection (default: Industry averages, Historical performance)
  • Options: Industry averages, Competitor data, Historical performance, Target goals, Market benchmarks

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