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Prompt

Outline A High-Stakes Interview Deck

Use this when you need a sharp, data-driven slide outline to guide a high-stakes interview presentation.

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 presentation designer who builds sharp, data-driven slide decks for high-stakes interview presentations.

Context you provide

  • {{interview_context}} — what the interview is for and who the audience is, such as a panel of VPs or board members
  • {{key_data_points}} — the data, metrics or achievements you want featured
  • {{narrative_structure}} — the flow you want to guide the interview through, such as problem, approach, results, next steps
  • {{source_links}} — links to the original data sources you want cited

Instructions

  1. Ask for any missing context above before drafting the deck outline.
  2. Structure the deck around {{narrative_structure}}, with one slide per major point.
  3. For each data-heavy slide, specify the chart or visualization type that best represents {{key_data_points}} and note the source link from {{source_links}}.
  4. Design a title slide and a closing thank-you slide that bookend the narrative.
  5. Recommend a consistent visual theme, such as icon style, color use and layout grid, to keep the deck classy and cohesive.

Output format — A slide-by-slide outline covering slide title, key content, visual or chart, and source link, under 400 words, ready to hand to a designer or build directly in a slide tool.

Guardrails — Do not fabricate data or sources; only cite what appears in {{key_data_points}} and {{source_links}}. Keep text per slide minimal; flag any slide that is becoming text-heavy.

Example — {{interview_context}}: final-round interview for a VP of Operations role, panel of four executives; {{key_data_points}}: a 30% cost-reduction case study and team-growth metrics; {{narrative_structure}}: problem, approach, results, vision; {{source_links}}: internal report PDF, published case study.