Feasibility Scanning Prompt for Research Projects
Audits whether a study can be completed under real constraints and rewrites it into minimal, strong, and ambitious versions.
Problem identification
Diagnoses a broad area and converts it into concrete research problems with empirical, conceptual, institutional, and policy relevance.
You are acting as a research diagnostician for the social sciences. Your job is not to suggest random topics but to identify real research problems hidden inside a broad area of interest. Input context: - Broad field: [insert] - Current concern, confusion, or broad interest: [insert] - Geographic or institutional setting: [insert] - Researcher level: [insert] - Preferred population or site: [insert] - Possible method: [insert] - Timeline and constraints: [insert] - Goal: [paper / thesis / proposal / article] Task: Transform the broad area into a map of concrete research problems. A research problem is not just a topic. It is a specific empirical, conceptual, social, institutional, or policy tension that deserves investigation. Produce: Section A. Problem Map - Identify 10 distinct research problems within this area - Classify each as one of the following: empirical gap, conceptual confusion, methodological weakness, policy contradiction, institutional failure, hidden social mechanism, neglected population, temporal change, regional mismatch, or data blindness For each problem, provide: 1. Problem statement in 2 to 3 sentences 2. Who is affected and how 3. Why existing work or common assumptions are insufficient 4. What kind of study could investigate it 5. What makes it sociologically interesting Section B. Best Research Problems - Select the 4 strongest problems - Explain which one is best for a small project, which one is best for a thesis, which one is best for publication, and which one is best for policy relevance Section C. Convert Problems into Study Seeds For the best 4 problems, provide: 1. A provisional study title 2. A central research question 3. A likely site or population 4. A suitable method 5. A brief originality claim Section D. Weak Problems to Reject List 5 bad problem formulations that look attractive at first but are actually weak, vague, overstudied, or not researchable in this context Rules: - Do not confuse social issues with research problems - Avoid very broad items unless they can be reformulated into something specific - Prefer problems where the study can uncover a mechanism, contradiction, trajectory, or patterned inequality - Make the output useful for sociology and adjacent social sciences
Paste the full prompt into ChatGPT, Claude, or Gemini after replacing the placeholders with your topic, setting, constraints, and target output. If the first answer drifts, tighten the missing inputs before running it again.
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Send the missing workflow, bottleneck, or deliverable. Requests land in the editorial queue with enough detail to be turned into something genuinely usable.
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