AI Driven Research Question Formulation Workflow Guide

Research Question Formulation Workflow

1. Identify Research Area

1.1 Define the General Topic

Begin by outlining the broad subject area of interest within research and development.

1.2 Narrow Down Focus

Utilize AI-driven tools such as Google Scholar or Semantic Scholar to explore existing literature and identify gaps in research.

2. Conduct Preliminary Research

2.1 Gather Background Information

Leverage AI language tools like ChatGPT or Jasper AI to summarize key concepts and theories related to the topic.

2.2 Analyze Current Trends

Use IBM Watson Discovery to analyze data sets and identify emerging trends within the research area.

3. Formulate Research Questions

3.1 Brainstorm Potential Questions

Engage in collaborative brainstorming sessions, utilizing AI-powered mind mapping tools such as Miro or MindMeister.

3.2 Refine Questions

Employ AI-assisted platforms like Quora or Reddit to gather feedback on the relevance and clarity of proposed questions.

4. Validate Research Questions

4.1 Conduct Peer Review

Share formulated questions with colleagues or through AI-driven collaborative tools such as Slack or Microsoft Teams for input and refinement.

4.2 Assess Feasibility

Utilize AI analytics tools like Tableau to evaluate the feasibility and potential impact of the research questions.

5. Finalize Research Questions

5.1 Select Optimal Questions

Based on feedback and analysis, select the most relevant and impactful research questions.

5.2 Document and Share

Compile the finalized questions into a formal document and share with stakeholders using cloud-based tools like Google Drive or Dropbox.

6. Prepare for Research Implementation

6.1 Develop Research Proposal

Utilize AI writing assistants such as Grammarly or ProWritingAid to draft a comprehensive research proposal based on the finalized questions.

6.2 Plan Research Methodology

Incorporate AI tools like SurveyMonkey or Qualtrics for designing surveys or experiments to gather data relevant to the research questions.

7. Review and Iterate

7.1 Continuous Improvement

Establish a feedback loop using AI-driven analytics to assess the effectiveness of the research questions and methodologies, adjusting as necessary for future projects.