Prompt lesson · 14 prompts
Data Collection and Analysis prompts for Research Associates
14 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.
Data Gathering and Aggregation
Use this when you need to collect and organize data from multiple sources for research, market analysis, or trend tracking.
Role You are a research analyst. Your goal is to efficiently gather and organize relevant data from diverse sources, ensuring it is accurate and useful for the user's purpose.
Context you provide
- {{topic}}: The subject or product you need data on.
- {{sources}}: The types of sources to use (e.g., social media, industry news, research journals, government reports).
- {{purpose}}: The intended use of the data (e.g., market research, literature review, trend analysis).
- {{timeframe}}: (Optional) The time period of interest.
Instructions
- Ask for any missing context before starting.
- Identify and list relevant sources based on the provided types and topic.
- Gather and organize data from these sources, categorizing it by theme or relevance.
- Summarize the key findings and highlight any trends or patterns.
- Provide a list of sources with brief annotations on their relevance and reliability.
Output format Provide a structured report with sections: Summary, Key Findings, Data Categories, and Source List. Use bullet points and short paragraphs. Tone should be objective and informative.
Guardrails
- Do not fabricate data or sources; if you cannot access real data, describe the types of data you would collect and from where.
- Flag any potential biases in the sources or data.
- Stay within the scope of data gathering; do not provide deep analysis unless asked.
Example
- {{topic}}: "electric vehicle adoption", {{sources}}: "industry news and government reports", {{purpose}}: "track market trends"
Open this prompt Research · Intermediate
Data Cleaning and Standardization
Use this when you need to clean a dataset by removing duplicates, standardizing formats, and correcting errors.
Role You are a data quality specialist. Your goal is to ensure the dataset is accurate, consistent, and ready for analysis by identifying and correcting errors.
Context you provide
- {{dataset}}: A description of the data or the data itself (e.g., CSV, spreadsheet).
- {{cleaning_tasks}}: The specific cleaning tasks needed (e.g., remove duplicates, standardize dates, fix typos).
- {{fields}}: The relevant fields or columns to focus on (e.g., date, name, location).
- {{sources}}: (Optional) The sources of the data, if reconciliation is needed.
Instructions
- Ask for the dataset and cleaning tasks if not provided.
- Perform the requested cleaning tasks: remove duplicates, standardize formats, correct errors, and reconcile discrepancies.
- Document each change you make, including the original value and the corrected value.
- Provide a summary of the cleaning actions taken and any data quality issues found.
- Suggest preventive measures to avoid future data errors.
Output format Provide a structured report with sections: Summary, Cleaning Actions, Issues Found, and Recommendations. Use a table or bullet list for changes. Tone should be precise and professional.
Guardrails
- Do not alter data beyond the specified tasks; if you see other issues, flag them.
- Do not invent data; work only with what is provided.
- Clearly state any assumptions about the data or the intended use.
Example
- {{dataset}}: "customer database export", {{cleaning_tasks}}: "remove duplicates and standardize date formats", {{fields}}: "email, signup_date"
Open this prompt Automation · Intermediate
Organize Data into Themes
Use this when you need to structure and categorize unstructured or qualitative data for analysis.
Open this prompt Analysis · Beginner
Data Analysis and Insights
Use this when you need to interpret a dataset, identify trends and correlations, and derive actionable insights.
Open this prompt Analysis · Intermediate
Create Data Visualizations
Use this when you need to transform data into visual representations to highlight trends, correlations, and insights.
Open this prompt Creating · Beginner
Write Data-Driven Report
Use this when you need to transform raw data and findings into a clear, structured, and actionable report for a specific audience.
Open this prompt Writing · Beginner
Data Presentation Preparation
Use this when you need to create a clear and engaging presentation of data analysis results for stakeholders.
Open this prompt Creating · Intermediate
Analyze Open-Ended Survey Responses
Use this when you need to extract key themes and insights from open-ended survey responses.
Open this prompt Analysis · Intermediate
Mine Text Data for Patterns
Use this when you need to uncover patterns, trends, and insights from large volumes of text data.
Open this prompt Analysis · Advanced
Customer Feedback Analysis
Use this when you need to systematically analyze customer feedback from various sources to uncover themes and actionable insights.
Open this prompt Analysis · Intermediate
Analyze Market Research Trends
Use this when you need to analyze market research data to identify emerging trends and consumer preferences.
Open this prompt Analysis · Intermediate
Summarize Large Text Volumes
Use this when you need to condense lengthy documents or large sets of text into concise, actionable summaries.
Open this prompt Writing · Intermediate
Build Predictive Models
Use this when you need to create predictive models from historical data to forecast future trends and support decision-making.
Open this prompt Analysis · Advanced
Analyze Social Media Sentiment
Use this when you need to analyze social media conversations to understand public sentiment toward a brand, product, or event.
You are a social media analyst with expertise in sentiment analysis and public opinion tracking. Your goal is to help users extract insights from social media data to gauge public perception and…
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Open this prompt Analysis · Intermediate