Prompt lesson · 22 prompts
Qualitative Data Analysis prompts for Research Associates
22 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.
Categorize Qualitative Data into Themes
Use this when you need help organizing unstructured qualitative data (customer feedback, survey responses, social media comments) into meaningful, actionable themes and categories.
Role — You are a qualitative data analysis specialist experienced in thematic categorization. Your goal is to design a category framework and assign sample responses to themes, helping the researcher identify patterns and outliers.
Context you provide
- {{data source}} — where the qualitative data comes from (e.g., “customer feedback for Product X”, “post‑training survey comments”, “social media comments on Campaign Y”).
- {{topic or focus area}} — the subject of analysis (e.g., “user satisfaction with onboarding”, “sentiment toward brand refresh”).
- {{specific responses}} — optional: you can paste a few representative quotes or a short list of responses for the AI to categorize as an example.
- {{desired granularity}} — whether you want broad themes (3–5 categories) or fine‑grained subthemes (10+).
Instructions
- If any essential context is missing (especially {{data source}} and {{topic}}), ask for it before proceeding.
- Suggest an initial set of 4–7 categories based on common thematic patterns for the given type of data. For each category, provide a label, a short description, and a hypothetical example quote.
- If {{specific responses}} are provided, attempt to classify each into one of the suggested categories, noting any that don’t fit easily (potential outliers or new themes).
- Offer guidance on how to refine the categories — e.g., merging overlapping themes, splitting overly broad ones.
- Explain how the categorized data can be used to inform the next phase of the project (e.g., survey design, product roadmap, communication strategy).
Output format
- A table with columns: Category Name, Description, Example Quote (hypothetical if no {{specific responses}}).
- A short paragraph on outlier handling and refinement.
- A final paragraph on next steps.
- 200–350 words.
Guardrails
- Do not invent data that is not provided; if you need actual quotes to categorize, ask the user to paste some.
- Keep categories mutually exclusive and collectively exhaustive enough for the stated {{desired granularity}}.
- Avoid emotional bias; stay descriptive.
Example {{data source}}: Open‑ended survey responses about a new mobile app | {{topic}}: User frustration and delight | {{desired granularity}}: Broad themes
Open this prompt Analysis · Intermediate
Code and Categorize Qualitative Data
Use this when you need assistance in coding and categorizing qualitative data from surveys, social media, or focus groups to identify themes and trends.
Role You are a qualitative research analyst skilled in thematic coding and categorization. Your goal is to help systematically code and categorize qualitative data to uncover key themes and insights.
Context you provide
- {{data source description (e.g., customer feedback survey, social media posts, focus group transcripts)}}
- {{topic or focus area}}
- {{sample data (if available)}}
- {{desired number of categories or themes}}
Instructions
- Ask for any missing inputs before starting.
- Review the data or description provided.
- Propose a coding scheme with categories and subcategories, including definitions.
- Apply the coding to the sample data and explain the rationale for each assignment.
- Identify key themes and trends that emerge from the coding process.
Output format Coding framework: a table with category names, definitions, and example quotes. Followed by a summary of key themes and trends.
Guardrails
- Do not invent data; only code based on the provided information.
- Ensure consistency by using clear, non-overlapping category definitions.
- Flag any ambiguous or overlapping categories and suggest adjustments.
Example Data source: 200 customer feedback responses about product satisfaction, Topic: product features, Sample: 'I love the new interface but the loading time is slow', Desired categories: 5-7 themes.
Open this prompt Analysis · Intermediate
Comparative Analysis of Qualitative Sources
Use this when you need to compare and contrast qualitative data from two or more sources to highlight commonalities, differences, and discrepancies.
Open this prompt Analysis · Intermediate
Contextual Analysis of Qualitative Data
Use this when you need to uncover background factors and circumstances that influence qualitative responses from surveys, interviews, or social media.
Open this prompt Analysis · Intermediate
Grounded Theory from Qualitative Data
Use this when you need to develop theories or explanations from qualitative data.
Open this prompt Analysis · Intermediate
Identify Patterns in Qualitative Data
Use this when you need to uncover recurring themes, sentiments, or trends in customer feedback, surveys, or social media posts.
Open this prompt Analysis · Intermediate
Identify Themes from Qualitative Data
Use this when you need to extract recurring themes from customer feedback, interview transcripts, or social media posts.
Open this prompt Analysis · Intermediate
Manage Qualitative Data
Use this when you need to organize, categorize, and summarize qualitative data from interviews, focus groups, or open-ended surveys.
Open this prompt Analysis · Intermediate
Narrative Analysis for Qualitative Data
Use this when you need to analyze narratives and storytelling within qualitative data to identify themes, techniques, and insights.
Open this prompt Analysis · Intermediate
Qualitative Coding Consistency Validation
Use this when you need to check the consistency of qualitative coding across interview transcripts, survey responses, or focus group discussions.
Open this prompt Analysis · Intermediate
Qualitative Comparative Analysis Assistant
Use this when you need to compare and contrast qualitative data across different groups, time periods, or regions.
Open this prompt Analysis · Advanced
Qualitative Data Coding
Use this when you need to systematically identify and label themes in qualitative data like interviews, surveys, or focus groups.
Open this prompt Analysis · Intermediate
Qualitative Data Interpretation
Use this when you need to analyze qualitative data from surveys, interviews, or focus groups to extract key themes and draw conclusions.
Open this prompt Analysis · Intermediate
Qualitative Data Visualization Design
Use this when you need to create visual representations of qualitative data, such as customer feedback, interview transcripts, or survey responses.
Open this prompt Creating · Intermediate
Sentiment Analysis of Qualitative Data
Use this when you need to analyze the emotional tone of text data, such as reviews, social media comments, or survey responses.
Open this prompt Analysis · Intermediate
Summarize Qualitative Research Data
Use this when you need to condense large volumes of qualitative data (surveys, papers, interviews) into a clear, actionable summary.
Open this prompt Analysis · Intermediate
Text Mining for Insights
Use this when you need to extract key themes, sentiments, and trends from unstructured text data like reviews, social media, or interviews.
Open this prompt Analysis · Intermediate
Textual Theme & Sentiment Analysis
Use this when you need to analyze textual data such as reviews, social media comments, or articles for themes, sentiment, and patterns.
Open this prompt Analysis · Intermediate
Thematic Analysis of Qualitative Data
Use this when you need to identify and analyze recurring themes in qualitative data such as customer feedback, employee responses, or interview transcripts.
Open this prompt Analysis · Intermediate
Thematic Mapping of Qualitative Data
Use this when you need to create thematic maps of qualitative data to visualize themes and relationships.
Open this prompt Creating · Intermediate
Triangulate Qualitative Data Sources
Use this when you need to integrate multiple qualitative data sources (interviews, surveys, focus groups) to validate research findings.
Open this prompt Research · Intermediate
Visualize Qualitative Data for Insights
Use this when you need to transform qualitative data (e.g., survey responses, interview notes) into clear visual representations and actionable insights.
Open this prompt Creating · Beginner