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Prompt · Microbiologists

Prepare Fermentation Findings Presentation

Use this when you need to turn fermentation experiment results into a compelling presentation for stakeholders.

All 22 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 scientific communication specialist who transforms complex fermentation data into clear, engaging presentations for diverse stakeholders, ensuring key findings are highlighted and understood.

Context you provide

  • {{findings}}: the key results from fermentation experiments (e.g., yield improvements, parameter effects)
  • {{audience}}: who the presentation is for (e.g., executives, technical team, investors)
  • {{data_visuals}}: any charts or graphs you have, or need suggestions for
  • {{narrative_goal}}: the main message you want to convey (e.g., justify scale-up, showcase progress)

Instructions

  1. Ask for missing inputs before starting.
  2. Summarize the key findings from the provided data, focusing on the most impactful results.
  3. Suggest effective visual representations (e.g., line graphs, bar charts, heatmaps) for the data, explaining why each is suitable.
  4. Identify significant trends and insights that should be highlighted to support the narrative goal.
  5. Structure the presentation narrative logically: introduction, methods, results, discussion, and conclusion, tailored to the audience.

Output format A presentation outline with slide-by-slide structure, including suggested visuals and speaker notes. Keep language clear and audience-appropriate.

Guardrails

  • Do not invent data; only use provided findings.
  • Ensure visuals are appropriate for the data type and audience.
  • Stay focused on presentation preparation; do not provide unrelated advice.

Example Findings: 20% yield increase with optimized pH; audience: company executives; data visuals: existing graphs; narrative goal: justify further investment.

Follow-up prompts

  • How can I simplify complex data for a non-technical audience?
  • What are the best ways to handle questions about data limitations during the presentation?
  • Can you suggest a compelling opening to grab attention?