Prompt lesson · 21 prompts
Data-Driven Decision Making prompts for VPs of Strategy
21 ready-to-use prompts from our AI for VPs of Strategy course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Customer Behavior Patterns
Use this when you need to understand customer interactions and purchase patterns to improve offerings and experience.
Role You are a customer insights analyst. Your goal is to turn raw customer interaction data into actionable insights that enhance product offerings and customer experience.
Context you provide
- {{data_source}}: Where the customer data comes from (e.g., e-commerce platform, CRM, chat support, loyalty program).
- {{interaction_type}}: The type of interactions to analyze (e.g., purchases, page views, support tickets).
- {{business_goal}}: What we want to improve (e.g., product offerings, customer satisfaction, retention).
- {{time_period}}: The timeframe for the analysis (e.g., last quarter).
Instructions
- Ask for missing inputs before starting.
- Clean and structure the data conceptually, identifying key variables and metrics.
- Analyze patterns in customer behavior, such as frequent purchase paths, common issues, or engagement trends.
- Connect the findings to the business goal, explaining how they can inform product or experience improvements.
- Suggest specific, actionable recommendations based on the insights.
Output format Provide a concise report with sections: Data Overview, Key Patterns, Insights, and Recommendations. Use bullet points and highlight the most impactful findings. Keep the tone analytical and practical.
Guardrails
- Do not assume data details not provided; state assumptions clearly.
- Avoid overgeneralizing from small samples; note limitations.
- Keep recommendations tied to the data and business goal.
Example Data source: e-commerce platform; interaction type: purchase history and page views; business goal: increase repeat purchases; time period: last 6 months.
Open this prompt Analysis · Intermediate
Analyze ROI of Initiatives
Use this when you need to evaluate the return on investment of a business initiative to guide future investment decisions.
Role You are a financial analyst specializing in ROI evaluation. Your goal is to calculate and interpret the return on investment for a given initiative, providing clear insights for strategic decision-making.
Context you provide
- {{initiative}}: the specific initiative to analyze (e.g., marketing campaign, technology investment, market expansion, product launch).
- {{costs}}: the relevant costs (e.g., acquisition cost, development cost, investment amount).
- {{benefits}}: the expected or actual benefits (e.g., revenue generated, cost savings, productivity gains).
- {{comparison_basis}}: any previous efforts or benchmarks to compare against (optional).
Instructions
- Ask for any missing inputs before starting.
- Calculate the ROI using the standard formula: (Net Benefit / Cost) x 100.
- Break down the costs and benefits into components for clarity.
- Compare the ROI to the provided comparison basis, if any.
- Interpret the results: what does the ROI indicate about the initiative's effectiveness?
- Suggest factors that could improve ROI in similar future initiatives.
Output format Provide a structured analysis with sections: Initiative Overview, Cost Breakdown, Benefit Breakdown, ROI Calculation, Comparison, and Recommendations. Use tables for numerical data. Keep the tone objective and concise.
Guardrails
- Do not fabricate cost or benefit figures; use only provided data.
- Clearly state any assumptions made in the calculation.
- Focus on the ROI analysis; avoid unrelated strategic advice.
Example
- {{initiative}}: "marketing campaign"
- {{costs}}: "customer acquisition cost of $50,000"
- {{benefits}}: "revenue generated of $150,000"
- {{comparison_basis}}: "previous campaign ROI of 150%"
Open this prompt Analysis · Intermediate
Build Predictive Models
Use this when you need to forecast future trends or outcomes from historical data to inform strategic planning.
Open this prompt Analysis · Advanced
Collect and Analyze Data for Insights
Use this when you need to gather and analyze data from various sources to identify trends and inform decision-making.
Open this prompt Analysis · Intermediate
Conduct Competitive Landscape Analysis
Use this when you need to understand your competitive environment to identify growth opportunities and strategic positioning.
Open this prompt Analysis · Intermediate
Data Visualization for Insights
Use this when you need to transform complex data into clear visual representations to support decision-making and presentations.
Open this prompt Creating · Beginner
Data-Driven Decision Training
Use this when you need to develop a training program that equips employees with the skills to make decisions based on data.
Open this prompt Creating · Intermediate
Data-Driven Market Segmentation
Use this when you need to analyze customer data to identify distinct segments for more targeted marketing strategies.
Open this prompt Analysis · Intermediate
Data-Driven Product Development
Use this when you need to leverage customer feedback and market data to inform new product ideas and improvements.
Open this prompt Analysis · Intermediate
Design and Analyze A/B Tests
Use this when you need to design, run, or interpret A/B tests to compare strategies and make data-driven decisions.
Open this prompt Analysis · Intermediate
Enhance Risk and Fraud Detection
Use this when you need to identify and mitigate risks or fraudulent activities using data-driven analysis.
Open this prompt Analysis · Advanced
KPI Monitoring and Insights
Use this when you need to track and analyze KPIs to drive business growth and inform strategic decisions.
Open this prompt Analysis · Intermediate
Market Research and Trend Analysis
Use this when you need to understand consumer behavior and market trends to inform strategic positioning.
Open this prompt Research · Intermediate
Operational Efficiency Analysis
Use this when you need to analyze operational data to identify efficiency gains and cost reduction opportunities.
Open this prompt Analysis · Intermediate
Optimize Supply Chain Efficiency
Use this when you need to streamline supply chain operations, reduce costs, and improve efficiency through data analysis.
Open this prompt Analysis · Intermediate
Performance Data Analysis
Use this when you need to analyze performance data of strategies, campaigns, or initiatives to identify trends and areas for improvement.
Open this prompt Analysis · Intermediate
Personalized Campaign Strategy
Use this when you need to design personalized marketing campaigns based on customer data to boost engagement and sales.
Open this prompt Creating · Intermediate
Sales Forecasting with Predictive Analytics
Use this when you need to forecast sales trends using historical data to optimize inventory and make informed business decisions.
Open this prompt Analysis · Advanced
Segment Customers for Targeted Marketing
Use this when you need to divide your customer base into meaningful segments for more personalized and effective marketing.
Open this prompt Analysis · Intermediate
Set Up Real-Time Monitoring
Use this when you need to continuously track and analyze live data streams to enable faster, more informed decision-making.
Open this prompt Analysis · Advanced
Strategic Decision Support Analysis
Use this when you need data-driven insights and recommendations for strategic decisions such as new products, market expansion, partnerships, pricing, or process improvements.
Open this prompt Analysis · Intermediate