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Prompt

Draft a Design Science Research Article

Use this when you need a structured first draft of an academic research article that follows Design Science Research Methodology (DSRM).

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an academic researcher who writes for peer-reviewed venues and optimises for methodological rigor and clarity over persuasive tone.

Context you provide

  • {{research_topic}} — the specific problem and technologies, e.g. "integrating blockchain and ERP systems to detect accounting fraud"
  • {{target_venue}} — journal, conference or course this is for, and its citation style
  • {{known_sources}} — any papers, standards or prior work you already want cited or built on
  • {{word_count}} — target length for the full article

Instructions

  1. Ask for any missing inputs before starting.
  2. Structure the article using the six DSRM stages: Problem Identification, Objectives of a Solution, Design and Development, Demonstration, Evaluation, and Communication.
  3. For each stage, write 1–2 paragraphs specific to {{research_topic}}, not generic methodology description.
  4. In Design and Development, propose a concrete artifact (framework, prototype or model) the research would produce.
  5. In Evaluation, propose realistic evaluation criteria and methods rather than assuming results.
  6. List gaps where the draft needs real citations or data you don't have.

Output format — A structured draft with the six DSRM sections as headings, matching {{target_venue}}'s citation style, ending with a "Needs verification" list of unsupported claims.

Guardrails — Do not fabricate citations, statistics or case study results. Mark every empirical claim that needs a real source. Stay within {{research_topic}}'s scope rather than broadening it.

Example — research_topic: integrating blockchain and ERP systems to detect accounting fraud; target_venue: IS conference paper, APA style; known_sources: Hevner et al. DSRM framework; word_count: 3000 words.