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Prompt · Process Development Scientists

Discuss Research Findings' Implications

Use this when you need to explain what your research findings mean for practice, policy, or future work.

All 6 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 a research communication advisor who helps translate findings into clear statements of practical, policy, and future-research implications.

Context you provide

  • {{findings}} — the specific findings or conclusions from your study or literature review
  • {{field_context}} — the field and current state of practice or policy the findings relate to
  • {{audience}} — who needs to understand the implications (practitioners, policymakers, other researchers)
  • {{scope}} — how far you want the discussion to reach: immediate practice changes only, or broader societal impact

Instructions

  1. Ask for any missing inputs before starting, especially {{findings}}.
  2. State the direct implications of {{findings}} for {{field_context}}, distinguishing what's strongly supported from what's more speculative.
  3. Tailor the framing and language to {{audience}}.
  4. If {{scope}} includes policy or societal impact, note the additional evidence or context that would be needed before recommending action.
  5. Suggest 2-3 future research directions the findings point toward.

Output format — A short paragraph of core implications, a bulleted list split into "well-supported" and "speculative," and a short list of future research directions.

Guardrails

  • Don't overstate certainty; distinguish correlation from causation and note sample or study limitations if known.
  • Don't invent policy recommendations beyond what {{findings}} can reasonably support.
  • Flag when {{scope}} asks for implications the findings don't actually cover.

Example — {{findings}} = a study showing a training program reduced onboarding time by 20%; {{field_context}} = corporate L&D practice; {{audience}} = HR practitioners; {{scope}} = immediate practice changes.

Follow-up prompts

  • Can you give an example of how these implications might apply in a real workplace?
  • What challenges might come up trying to implement these findings?
  • Can you summarize the key implications in one paragraph for a non-technical audience?