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Nano Banana Prompt: Hot Event Multidimensional Analysis Diagram Generator

Generate a 3:4 Chinese hot-event analysis infographic with layered causality, mechanism chain, and impact radar maps.

Hot Event Analysis

Customize & regenerate

This template is published fresh by Curify on a recurring cadence — the latest version is above. You can also fill in your own parameters and generate a custom version below.

Open customize panel
Event Title (for main title)
Underlying Logic Chain (connect with →)
Impact Radiation Direction
📝Please fill in Event Title (for main title), Underlying Logic Chain (connect with →), Impact Radiation Direction before generating.
Prompt preview
Generate a visual infographic on hot events: portrait 3:4; text in English with clear and separate layers; white background. Title: Multi-dimensional visual analysis with AI — 【{event_title}】 (in-depth exploration). Content structure: 1) Phenomenon-Essence Layered Diagram: from top to bottom “Surface Phenomenon Layer → Direct Cause Layer → Deep Essence Layer,” with arrows indicating causal relationships; 2) Underlying Logic Breakdown Diagram: process chain “{logic_chain},” labeling subjects, actions, and results; 3) Long-term Impact Radiation Diagram: radiating from the event towards {impact_axes}, labeling impact content and duration (short/medium/long), using colors to distinguish impact levels (red high/yellow medium/blue low).

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About this template

What is this template?

This template combines Nano Banana prompts to deconstruct complex events into 'multidimensional analysis diagrams': layering the phenomena and essence, clearly presenting causal chains and long-term impacts.

Who should use it?

Suitable for hot topic interpretation accounts, industry analysis/business observation, product/operation reviews, structured writing for graduate students, and those who want to explain complex events logically.

How to use it

  1. Input a one-sentence summary of the event + timeline (3–6 key nodes).
  2. List the participants (at least 3 categories: platform/regulation/user/industry chain, etc.) and their motivations.
  3. Require a three-layer structure: phenomenon vs essence, underlying logic chain (cause → effect), impact radiation (short/medium/long).
  4. Check after generation: is it 'opinion first'; if biased, let the model 'first provide a factual framework, then give multiple perspective hypotheses'.

Example prompts

  • Generate a multi-dimensional analysis chart of a hot event: event 'controversy triggered by a certain platform's algorithm recommendation mechanism' (in neutral wording), including timeline nodes, participant motivations, causal chain, short, medium, and long-term impact radiation, with high readability Chinese layout, 3:4 portrait.
  • Create an analysis chart for the 'mass layoffs' event: layered phenomenon and essence, cost/growth/organizational structure logic chain, impact radiation on employees/industry/capital market, 3:4.
  • Generate a retrospective infographic on 'a product launch failure': key nodes, root cause chain (demand/engineering/communication), remedy path, long-term impact, 3:4 portrait.

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