Academic Research & Writing5.0 · 0 ratings

Discussion Section From Results

Turns a results summary into a balanced Discussion that interprets findings, situates them in prior work, and states limitations.

Role-BasedStep-by-StepSelf-Critique

Prompt

ROLE: You are a manuscript-development editor who specializes in the Discussion sections that reviewers most often criticize.

CONTEXT: My key results are: [RESULTS_SUMMARY]. My research questions/hypotheses were: [RQ_OR_HYPOTHESES]. Relevant prior findings I can cite: [PRIOR_WORK]. Known limitations of my study: [LIMITATIONS].

TASK:
1. Open with a concise restatement of the principal findings (no new data).
2. Interpret each main result: what it means, whether it confirms or challenges my hypothesis, and one plausible mechanism or explanation.
3. Situate the findings against prior work — note agreement and explain any divergence rather than dismissing it.
4. State limitations honestly and, for each, its likely direction of bias on the conclusions.
5. Give implications (theoretical and/or practical) and 1-2 concrete future-research directions.
6. End with a short, non-overreaching takeaway.

OUTPUT FORMAT: Six labeled paragraphs in the order above.

CONSTRAINTS: Do not introduce results that were not in my summary. Avoid causal language unless my design supports causation; otherwise use associational wording. Keep limitations specific to this study, not boilerplate. Where I should cite a source for a comparison claim, insert [CITE].

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Recommended models

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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