Research Productivity Enhancing Prompts
Boost your productivity by using AI efficiently and ethically
AI helps reduce research time and improve data management
https://doi.org/10.1007/s43621-025-01480-7
Scientists who adopt AI tools publish 67.37% more papers, receive 3.16 times more citations, and become team leaders 4 years earlier than non-adopters.
AI tools are making research faster, more accurate, and more collaborative, from literature discovery and data analysis to writing aid and collaboration.
https://doi.org/10.1016/j.rineng.2025.104743
How does it work?
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How does it work?
Watch the video
Select subtitles in your langauge
MethodMate Prompt Library
Prompts on this platform are systematically organized according to the IMRAD (I – Introduction, M – Methods, R – Results, A – And, D – Discussion) framework, guiding researchers to use AI efficiently and ethically to define ideas, formulate problems, design methods, present results, and connect findings with theory and practice.
↓ SAMPLE
Finding relevant Articles and Analyzing Literature
Find relevant literature and structure your sources in one place
This first set of prompts guides you in collecting, refining, and structuring the key literature for your topic. You’ll start by defining your research focus, expanding your sources with targeted searches, and analyzing each article in detail. The result is a document that will serve as your personal database for identifying gaps and drafting strong academic sections.
Gap Spotting and Research Problem
Identifying underexplored areas, formulating research problem
This set of steps guides you from analyzing your article tables to formulating a clear research problem. You’ll identify and prioritize gaps in the literature, brainstorm possible study directions, and refine these ideas into strong, specific problem statements that can anchor your research project.
↓ SAMPLE
From Research Problem to Research Question
Turning research problems into clear, feasible questions
This set of steps helps you transform a broad research problem into a clear, focused, and feasible research question. You’ll brainstorm multiple options, refine them for clarity and significance, evaluate what data and resources are needed, and finally select the question(s) that best fit(s) both your problem and your practical constraints.
From Research Question to Research Design
Selecting the right design to answer questions
This set of steps helps you select the most appropriate research design to address your questions. You’ll explore different design options, weigh their strengths and weaknesses, check feasibility against your available resources, and refine the best choice into a clear methodological plan.
From Research Design to Theoretical Framework
Building models or concepts to guide your study
This set of steps helps you develop a strong theoretical foundation for your research. Depending on your design, you’ll either create a model with variables and hypotheses (quantitative) or identify guiding concepts and theoretical perspectives (qualitative). At the end, you’ll have a clear, justified framework that directly supports your research question and design.
Measurements and Data Collection
Developing instruments to gather reliable data
These steps help translate your research design and theory into a practical data-collection plan. There are two master prompts: one for quantitative research and one for qualitative research. The quantitative prompt focuses on choosing reliable measures and appropriate instruments, while the qualitative prompt helps you create a clear and consistent interview guide.
Preparing Documents for Ethics Approval
Preparing materials for ethics approval
This set of steps helps you draft the key documents required for Institutional Research Ethics Committee (IREC) approval. You’ll prepare participant information sheets, consent forms, risk–mitigation tables, ethics statements, and data privacy plans, all aligned with your research design. The prompts guide you to produce clear, participant-friendly, and academically sound documents ready for committee review.
Qualitative Data Analysis
From raw transcripts to meaningful categories and themes
This prompt is to help you analyse qualitative interview transcripts carefully, transparently, and ethically. It ensures that all coding and themes are clearly linked to exact participant quotes, while protecting privacy and maintaining high research standards. The process is designed to make qualitative analysis systematic, traceable, and suitable for academic or professional research.
Quantitative Data Analysis
Cleaning, testing, and interpreting quantitative data
This set of prompts guides you through the step-by-step analysis of quantitative data. You’ll clean and prepare datasets, choose appropriate statistical tests, and explore how AI and statistical analysis tools can be combined for efficient data analysis. The focus is on rigor, accuracy, and the direct linkage of tests to the research question and hypotheses.
Presenting Findings (Qual)
Outlining and drafting the results of qualitative research
This prompt helps you draft a clear, rigorous Findings/Results section for a peer-reviewed qualitative research article. The assistant helps you turn your existing qualitative analysis (themes, codes, excerpts, and memos) into well-structured academic prose that accurately represents your data and adheres to best practices in your field.
Presenting Findings (Quant)
Outlining and drafting the results of quantitative research
The goal of this prompt is to help you write a clear and accurate Results/Findings section for a quantitative research paper. The assistant helps turn your existing statistical tables and outputs into a well-written academic text that reports results clearly and neutrally, without adding new interpretations or changing your data.
AI-Powered Findings Review
Use AI as a reviewer to refine the results section
The prompts in this section evaluate the draft Results section, focusing on alignment with the research questions, completeness of reporting, evidentiary support, and adherence to discipline-appropriate best practices. The review is strictly evaluative, assessing clarity, rigor, and provides a report without generating new findings or rewritten text
Discussing Findings (Qual)
Discussing the results of qualitative research
This prompt supports the writing of a well-structured Discussion section for a qualitative empirical article. The assistant helps interpret and contextualize the study’s findings in a disciplined way, ensuring that all claims are grounded strictly in the provided findings, theoretical framework, and cited literature.
Discussing Findings (Quant)
Discussing the results of quantitative research
This prompt assists in drafting a clear and careful Discussion section for a quantitative research article based on your input. The assistant helps interpret your results accurately, using only the analyses, theory, and literature you provide, and in a way that aligns with your study design and journal standards.
Drafting Effective Conclusion
Drafting a conclusion for empirical research
This prompt helps you draft a Conclusion for an empirical article. It distills the main take-home message of the study without repeating the Discussion or introducing new information. The Conclusion will reflect only what is already in the manuscript and will present the study’s contribution, significance, and boundaries in a clear and disciplined way.
Important Note
Welcome to your guided path from idea to publication. This collection of prompts is designed to support every stage of the research journey, following the IMRaD structure (Introduction, Methods, Results, and Discussion). With clear instructions and interactive steps, the prompts help you refine your topic, find and analyze literature, identify research gaps, design your study, and analyze both qualitative and quantitative data. You will then be able to draft each section of your paper in line with peer-reviewed standards.
All prompts emphasize the ethical use of AI — treating it as an assistant for brainstorming, searching, structuring, coding, and enhancing your text, not as a replacement for your own academic thinking. Always double-check outputs, verify references, and take full responsibility for your work. When using uploaded or pasted material, respect copyright restrictions and only share what is necessary for personal research purposes. Finally, make sure to protect your own privacy and the privacy of your research participants by avoiding sensitive, identifiable, or confidential data in prompts or uploads.