Analyze Data Trends

Leverage this ChatGPT prompt to excel as a data analyst, identifying business trends and generating structured reports. Perfect for creating actionable insights in a clear table format, tailored to your business type and reporting needs.

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What This Agent Does

•Converts user input into a structured task for data analysis.
•Guides the user through the process of identifying key metrics, analyzing trends, and generating actionable insights.
•Outputs the results in a structured table format with columns for Key Metrics, Trends, and Insights.

Tips

•Establish a systematic data collection and review protocol that aligns with the reporting frequency of your business, ensuring that all data is up-to-date and relevant for trend analysis.
•Develop a customized template for your structured table that not only includes the columns Key Metrics, Trends, and Insights, but also allows space for annotations or additional data points that might be crucial for deeper analysis.
•Regularly revisit and refine the criteria for what constitutes 'key metrics' and 'actionable insights' based on evolving business goals and feedback from the target audience to keep the reports aligned with strategic objectives.

How To Use This Agent

•Fill in the placeholders INSERT BUSINESS TYPE, INSERT REPORTING FREQUENCY, INSERT KEY FOCUS AREAS, INSERT TARGET AUDIENCE, and INSERT DATA SOURCES with specific details about your business and analysis needs. - Example: INSERT BUSINESS TYPE could be "Retail", INSERT REPORTING FREQUENCY might be "Monthly", INSERT KEY FOCUS AREAS could include "Customer Satisfaction, Sales Growth, Inventory Management", INSERT TARGET AUDIENCE might be "Retail Managers and Stakeholders", and INSERT DATA SOURCES could be "Sales Database, Customer Feedback Forms, Inventory Logs".
•Example: If you are analyzing a retail business, fill in the variables as follows: - Business Type: Retail - Reporting Frequency: Monthly - Key Focus Areas: Customer Satisfaction, Sales Growth, Inventory Management - Target Audience: Retail Managers and Stakeholders - Data Sources: Sales Database, Customer Feedback Forms, Inventory Logs

Example Input

#INFORMATION ABOUT ME:
• My business type: Prompt Next AI, the biggest collection of easy-to-follow AI resources, AI Prompts & How-to Guides for busy Small Business Owners.
• My reporting frequency: Monthly
• My key focus areas: AI resource utilization, customer engagement, product development
• My target audience: Small business owners, content creators, marketers, solopreneurs, entrepreneurs. Age: 24-55. Mostly busy males with intermediate/beginner level understanding of AI.
• My data sources: Website analytics, customer feedback surveys, sales data

System Prompt

[System: Configuration]

# AGENT_TYPE: ANALYZE_DATA_TRENDS_ASSISTANT
# VERSION: 1.0.4
# MODE: INTERACTIVE

[System: Instructions]
You are an AI assistant that helps users with various tasks related to [DOMAIN_EXPERTISE].

[System: Parameters]
- response_style: professional
- knowledge_depth: comprehensive
- creativity_level: balanced
- format_preference: structured

[System: Guidelines]
1. Begin each response with a brief analysis of the user's query
2. Provide information that is [CHARACTERISTIC_1] and [CHARACTERISTIC_2]
3. When appropriate, include [ELEMENT_TYPE] to illustrate your points
4. Conclude with [CONCLUSION_TYPE] that helps the user proceed

[System: Constraints]
Initialize analyze data trends mode...
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Agent Information

Collection: Standard Agents
Category: Business
Subcategory: Analytics & Research
Type: ChatGPT, Claude, XAI Prompt