AI Research Assistant Prompts

I\'m starting a literature review on [topic]. Help me create a search strategy including: relevant databases to use, key search terms and Boolean operators, inclusion/exclusion criteria for papers, and a timeline for completing the review. Also suggest how to organize findings in a spreadsheet.

Analyze these research papers [paste titles/abstracts] and identify: the main research gaps they address, common methodologies used, disagreements between authors, and emerging trends. Then suggest 3 unexplored areas where new research is needed.

Help me design a research framework for studying [topic]. Include: research questions to investigate, theoretical frameworks that apply, appropriate methodologies (quantitative/qualitative/mixed), data sources to collect from, and potential limitations to address.

I have 50+ research papers on [topic]. Help me create a systematic categorization system that groups papers by: methodology, publication year, geographic focus, and key findings. Then help me identify which categories have the most research.

Create a critical appraisal checklist for evaluating [type of study, e.g., RCT, qualitative study]. Include questions I should ask about: study design quality, bias risk, sample size adequacy, validity of conclusions, and practical applicability.

Help me map the 'research landscape' for [topic]. Create a matrix showing major research themes across different disciplines, identify which areas are over-researched vs. under-researched, and highlight interdisciplinary opportunities.

I have a dataset with [describe: number of variables, sample size, data types]. Help me choose the right statistical test by: explaining what assumptions I need to check, which tests are appropriate for my research question, how to interpret results, and common pitfalls to avoid.

Explain how to conduct [specific statistical analysis: correlation, ANOVA, regression, t-test] using [tool: Excel, Python, R, SPSS]. Break it down into steps, explain assumptions to check, show how to interpret output, and give an example.

I\'m working with [type of data: time-series, categorical, spatial, longitudinal]. What are the unique analytical challenges with this data? What methods are best suited for it? What preprocessing should I do first? Walk me through a workflow.

Help me identify outliers in my dataset. Explain: what counts as an outlier, statistical methods to detect them (Z-score, IQR, Mahalanobis distance), how to decide whether to remove or keep them, and how to report this decision in my paper.

I need to analyze qualitative data from [interviews/focus groups/open survey responses]. Walk me through: how to code the data, what coding frameworks are available, software tools that help, how to ensure coding consistency, and how to draw themes from coded data.

Create a guide for reporting statistics in academic writing. Include: how to write results with proper notation, how to interpret p-values correctly, effect sizes and why they matter, confidence intervals, and common statistical reporting mistakes to avoid.

Help me write an abstract for my research paper on [topic]. The abstract should: clearly state the research question, explain the methodology in 1-2 sentences, summarize key findings, and end with implications. Keep it under 250 words and use academic tone.

I\'m struggling to organize my [type: thesis chapter, research paper section]. I have these main points: [list]. Help me: arrange them logically, create strong topic sentences for each paragraph, identify any gaps, and improve the flow between sections.

Review this introduction paragraph [paste text]. Does it: establish context, review relevant literature, state the research gap, and present my research question clearly? Rewrite it to be more compelling while maintaining academic tone.

Help me write a strong discussion section for my research paper. It should: interpret my findings in context of existing literature, explain limitations honestly, address unexpected results, discuss practical implications, and suggest future research directions.

I\'m using these sources in my paper [list 3-4 sources]. Help me synthesize them into a coherent paragraph that: identifies points of agreement and disagreement, shows how they build on each other, and explains their relevance to my research question.

Create a checklist for editing my [thesis chapter/research paper] for academic writing standards. Include: clarity, jargon usage, sentence structure, citation formatting, paragraph organization, and tone consistency. Then help me revise a problematic section.

Explain [citation style: APA, MLA, Chicago, Harvard] formatting rules for: books, journal articles, websites, dissertations, and reports. Show examples for each. Then help me convert my reference list to this style.

I\'m using ideas from [source]. Help me understand: when I need direct quotes vs. paraphrasing, how to paraphrase without plagiarizing, how many sources I should cite per paragraph, and how to integrate citations smoothly into my writing.

Review these citations [paste 5-6 citations in your preferred style]. Check for: consistency in formatting, correct information (author, date, page numbers), and completeness. Correct any errors and explain the rules.

I want to use [specific source: quote, data, image]. Help me understand: if this requires permission, what credit is needed, how to cite it correctly in [citation style], and how to follow fair use guidelines properly.

Help me set up a citation management system for my research project. Compare: Zotero, Mendeley, EndNote, and BibTeX in terms of ease of use, citation style support, collaboration features, and cost. Recommend which is best for [my situation].

I\'m writing an annotated bibliography on [topic]. For each source I list, help me write annotations that: summarize the source\'s main argument, assess its credibility, explain its relevance to my research, and describe how I\'ll use it.

I\'ve read these sources on [topic] [list sources]. Help me create a concept map that shows: how ideas connect and build on each other, contradictions and tensions, common themes, gaps in knowledge, and how this knowledge relates to my research question.

Help me write a 'state of the field' summary for [topic] that: explains major historical developments, identifies current debates and disagreements, highlights cutting-edge research, describes practical applications, and predicts future directions.

I\'m seeing conflicting findings across research on [topic]. Help me understand: why researchers disagree, what methodological differences explain the conflicts, which findings are most credible and why, and what questions remain unanswered.

Create a visual framework for understanding [complex topic]. Organize it by: core concepts and definitions, relationships between ideas, how it applies in different contexts, key debates, and remaining questions. Then explain each component clearly.

Help me identify interdisciplinary perspectives on [topic]. Show how researchers from different fields (e.g., psychology, sociology, biology) approach it differently, what insights each discipline adds, and how integrating these perspectives strengthens understanding.

I need to teach others about [research topic] without assuming prior knowledge. Create: a clear definition, 3 key concepts explained simply, real-world examples, common misconceptions, and how to deepen understanding further.