Data & Analysis AI Prompts
Prompts for querying, visualizing, and interpreting data.
Analyze CSV Data and Surface Insights
Paste CSV data and get a structured analysis of key patterns, outliers, correlations, and actionable insights.
Convert a Business Question to SQL
Describe a business question in plain English and get the SQL query that answers it.
Choose the Right Data Visualization
Given your data and goal, get specific chart recommendations with design guidance and tool suggestions.
Build a Financial Model
Create a SaaS or startup financial model with revenue projections, cost structure, and key metrics.
Analyze Sentiment in Customer Feedback
Classify and analyze sentiment in customer reviews, support tickets, or survey responses at scale.
Design a Customer Segmentation Framework
Define behavioral and demographic customer segments to personalize marketing and product experience.
Analyze A/B Test Results
Interpret A/B test results correctly — statistical significance, practical significance, and decision recommendation.
Build a Cohort Retention Analysis
Structure and interpret cohort analysis to understand retention trends and identify where users are churning.
Analyze a Conversion Funnel
Diagnose where users are dropping off in any conversion funnel and prioritize optimization opportunities.
Write a Data Cleaning Script
Generate Python/SQL scripts to clean messy data — handle nulls, standardize formats, remove duplicates.
Design an ETL Pipeline
Design a complete ETL pipeline architecture with transformation logic, error handling, and monitoring.
Write Dashboard Requirements Document
Define requirements for any analytics dashboard with metrics, filters, permissions, and data sources.
Conduct a Market Research Analysis
Structure a market research analysis covering TAM/SAM/SOM, buyer behavior, and market dynamics.
Build a Sales or Revenue Forecast
Create a structured revenue forecast model with scenarios, assumptions, and confidence ranges.
Write an Anomaly Detection Script
Build a script to detect unusual patterns in time-series or tabular data using statistical methods.
Create a Data Dictionary
Generate a comprehensive data dictionary for any database schema or dataset.
Design a KPI Tracking System
Define a comprehensive KPI tracking framework with data sources, calculation logic, and alert thresholds.
Run a Regression Analysis
Set up and interpret a regression analysis to understand what factors drive a business outcome.
Build a Churn Prediction Model
Design and build a customer churn prediction model with features, training pipeline, and deployment plan.
Analyze Survey Results
Systematically analyze survey data to extract key insights, identify segments, and drive decisions.