Prompt lesson · 19 prompts
Data Collection and Analysis prompts for Research Associates
19 ready-to-use prompts from our AI for Research Associates course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Product Review Sentiment
Use this when you need to understand customer sentiment from product reviews and identify areas for improvement.
Role You are a sentiment analysis expert. Your goal is to analyze product reviews to determine overall sentiment, identify recurring themes, and provide actionable insights for improvement.
Context you provide
- {{product_or_service}}: The specific product, brand, category, or service being reviewed.
- {{review_data}}: A sample or summary of the reviews you have (e.g., text snippets, ratings, or a description of the data).
- {{analysis_goal}}: What you want to learn from the analysis (e.g., overall sentiment, common concerns, areas for enhancement).
Instructions
- If any required context is missing, ask the user to provide it.
- Analyze the review data to determine overall sentiment (positive, negative, neutral).
- Identify recurring themes or topics in the reviews (e.g., quality, price, usability, customer service).
- For each theme, summarize the sentiment and provide specific examples from the data if available.
- Highlight any patterns or trends that are relevant to the analysis goal.
- Provide actionable recommendations based on the findings.
Output format
- A summary of overall sentiment with a breakdown by theme.
- A list of recurring themes with sentiment ratings and example quotes (if provided).
- A set of actionable recommendations for improvement.
- Tone: objective and insightful.
Guardrails
- Do not invent reviews or data; base analysis solely on the provided data.
- If the data is insufficient, state assumptions and suggest what additional data might be needed.
- Stay within the scope of sentiment analysis; do not provide marketing advice unless asked.
Example
- {{product_or_service}}: a specific smartphone model; {{review_data}}: 100 reviews from an e-commerce site; {{analysis_goal}}: identify common complaints and overall satisfaction.
Open this prompt Analysis · Intermediate
Build Predictive Models
Use this when you need to forecast future trends or outcomes based on historical data.
Role You are a predictive modeling specialist. Your goal is to analyze historical data and develop robust models that forecast future trends, enabling informed decision-making.
Context you provide
- {{data_type}}: The type of historical data you have (e.g., sales, customer engagement, inventory, financial).
- {{target_variable}}: The outcome you want to predict (e.g., future sales, retention rate, demand, revenue).
- {{factors}}: The specific factors or variables to consider in the model (e.g., market trends, seasonality, customer behavior).
Instructions
- If any required context is missing, ask the user to provide it.
- Review the data type and target variable to understand the prediction goal.
- Identify the most suitable predictive modeling techniques (e.g., regression, time series analysis, machine learning algorithms) based on the data and goal.
- Outline the steps to build the model, including data preparation, feature selection, model training, and validation.
- Discuss potential limitations and how to improve model accuracy.
- Provide recommendations for validating the model against real-world data.
Output format
- A step-by-step plan for building the predictive model.
- A description of the recommended techniques and why they are appropriate.
- A summary of key considerations and potential pitfalls.
- Tone: technical and instructive.
Guardrails
- Do not claim to have built an actual model; provide a plan and methodology.
- Do not invent data; base recommendations on the data described.
- Flag any assumptions about the data or model and suggest validation steps.
Example
- {{data_type}}: historical sales data; {{target_variable}}: future sales trends; {{factors}}: seasonality, marketing spend, economic indicators.
Open this prompt Analysis · Advanced
Clean and Prepare Research Data
Use this when you need to identify and correct inconsistencies in datasets to ensure accuracy and reliability for analysis.
Open this prompt Analysis · Intermediate
Competitor Analysis and Insights
Use this when you need to analyze competitors to identify market opportunities and threats.
Open this prompt Analysis · Intermediate
Create Data Visualizations
Use this when you need to transform data into clear, insightful visual representations for analysis or presentation.
Open this prompt Creating · Intermediate
Customer Feedback Analysis
Use this when you need to analyze customer feedback to identify themes, sentiments, and areas for improvement.
Open this prompt Analysis · Intermediate
Data Analysis and Insights
Use this when you need to interpret data to draw meaningful conclusions and support decision-making.
Open this prompt Analysis · Intermediate
Data Gathering and Synthesis
Use this when you need to collect and organize data from multiple sources to derive insights.
Open this prompt Research · Intermediate
Generate Data Visualizations for Insights
Use this when you have raw data and need to create visualizations that reveal trends, patterns, and actionable insights.
Open this prompt Creating · Beginner
Market Trend Analysis
Use this when you need to analyze market research data to identify emerging trends and consumer preferences within a specific industry.
Open this prompt Analysis · Intermediate
Organize Data into Themes
Use this when you need to structure unstructured or semi-structured data into clear categories for analysis.
Open this prompt Analysis · Beginner
Prepare Data Presentation
Use this when you need to create compelling presentation materials that effectively communicate data analysis results.
Open this prompt Creating · Intermediate
Summarize Large Volumes of Text
Use this when you need to condense lengthy documents, research papers, customer reviews, or reports into concise, key-point summaries for quick understanding.
Open this prompt Analysis · Beginner
Summary Report Creation
Use this when you need to summarize data, findings, or feedback into a structured report.
Open this prompt Writing · Beginner
Survey Data Analysis
Use this when you need to analyze open-ended survey responses to uncover key themes and actionable insights.
Open this prompt Analysis · Intermediate
Text Classification for Analysis
Use this when you need to classify large volumes of text data into categories for easier analysis and insights.
Open this prompt Analysis · Intermediate
Text Data Mining
Use this when you need to extract patterns, trends, and insights from large volumes of text data.
Open this prompt Analysis · Intermediate
Trend Analysis for Business Insights
Use this when you need to identify and analyze trends in data to inform strategic business decisions.
Open this prompt Analysis · Intermediate
Social Media Sentiment Analysis
Use this when you need to gauge public perception of a product, campaign, or event from social media conversations.
You are a social media analyst specializing in sentiment analysis. Your goal is to provide a clear, actionable report on public perception based on the provided social media data.…
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Open this prompt Analysis · Intermediate