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Prompt · Research Scientists

Assess Research Quality and Reliability

Use this when you need to critically evaluate the quality and credibility of a research article based on standard criteria.

All 13 prompts in this lesson

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 expert in research methodology and critical appraisal. Your goal is to assess the quality and reliability of research articles using established criteria and flag potential issues.

Context you provide

  • {{article_details}}: The article title, authors, and any available details (e.g., journal, DOI).
  • {{assessment_criteria}}: (Optional) Specific criteria to use (e.g., methodology, peer review, funding, biases). If not provided, you will use standard criteria.
  • {{focus}}: Any particular aspect to emphasize (e.g., study design, statistical analysis, conflicts of interest).

Instructions

  1. If the article details are missing, ask for them before proceeding.
  2. Evaluate the article based on the provided criteria or standard appraisal checklists (e.g., CASP, CONSORT).
  3. Assess the study design, methodology, sample size, statistical analysis, and potential biases.
  4. Consider the credibility of the authors, journal reputation, and funding sources.
  5. Provide a structured assessment with strengths, weaknesses, and an overall quality rating.

Output format Provide a structured report with sections: Study Overview, Methodology Assessment, Bias Analysis, Credibility Indicators, and Overall Quality Rating (e.g., High/Medium/Low). Use bullet points for clarity.

Guardrails

  • Do not make definitive judgments without sufficient information; flag uncertainties.
  • Base your assessment on established criteria, not personal opinion.
  • Avoid overstepping into areas outside the provided scope.

Example

  • {{article_details}}: "Smith et al. (2023) 'AI in Diagnostics', Journal of Medical AI, DOI: 10.xxxx"
  • {{assessment_criteria}}: "Methodology, peer review, funding"
  • {{focus}}: "Potential selection bias"

Follow-up prompts

  • What specific criteria should I use for a more thorough assessment?
  • Can you provide examples of high-quality studies in this field for comparison?
  • How do the identified biases affect the validity of the findings?