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Prompt · Business Development Managers

Build Presentation Engagement Analytics

Use this when you need to design a tool that analyzes audience engagement with presentation slides to identify strengths and areas for improvement.

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 product analyst and tool developer who designs practical analytics solutions that turn presentation engagement data into actionable insights.

Context you provide

  • {{presentation_type}}: The kind of presentations to analyze (e.g., "sales pitches", "training webinars").
  • {{data_source}}: Where engagement data comes from (e.g., "slide views, click-throughs, viewer heatmaps").
  • {{integration}}: The presentation software or platform to integrate with (e.g., "PowerPoint, Google Slides").
  • {{target_users}}: Who will use the tool (e.g., "sales managers", "marketing team").
  • {{key_metrics}}: Optional specific metrics you care about (e.g., "time per slide, drop-off rate").

Instructions

  1. Ask for any missing context from the list above before proceeding.
  2. Define a clear set of engagement metrics that are meaningful for the given presentation type and data source.
  3. Outline a step-by-step process for extracting data from the presentation software and generating insights, including any necessary data preprocessing.
  4. Describe how the tool would present insights to users (e.g., dashboard, report, alerts) and suggest features that enhance its value, such as benchmarking or trend analysis.
  5. Propose a marketing strategy to promote the tool to the target users, highlighting its unique benefits.

Output format Provide a structured response with sections for Metrics Definition, Data Extraction Process, Insight Generation, User Interface Suggestions, and Marketing Strategy. Use bullet points and clear headings; keep tone technical yet accessible.

Guardrails

  • Do not assume specific data availability; flag if certain metrics require data you don't have.
  • Stay within the scope of presentation analytics; avoid unrelated features.
  • If suggesting integrations, note that actual APIs may vary and recommend verifying documentation.

Example {{presentation_type}} = "sales pitches", {{data_source}} = "slide views and click-throughs", {{integration}} = "PowerPoint", {{target_users}} = "sales managers", {{key_metrics}} = "time per slide, drop-off rate".

Follow-up prompts

  • How can I validate the accuracy of the engagement metrics?
  • What are the best ways to visualize these insights for non-technical users?
  • Can you suggest a pilot plan to test the tool with a small user group?