Viral Video Breakdown Template (Business & Tech)

Analysing video based on the transcript using the following framework

## Basic Video Information

### Target Audience Identification

Based on the video’s language style (density of technical terms, level of accessibility), content depth (introductory/advanced analysis/industry outlook), determine the core audience group (e.g., tech beginners, business professionals, financial investors, industry practitioners). Provide the reasoning behind your judgment.

## Core Ideas and Information Breakdown

### Extracting the Core Argument

Summarize the main conclusion of the video in 1–2 sentences (e.g., “The video argues that in 2024 AI development will shift from a ‘technology race’ to ‘practical applications,’ with enterprise services as the primary breakthrough point”). Exclude background, examples, or supporting context—go straight to the essence.

## Logical Chain of Information

Following either the narrative sequence or logical progression, break down the supporting sub-arguments that back up the core argument. Present them in a logic chain format:

Core Argument → Sub-argument 1 → Sub-argument 2 → Sub-argument 3

Each sub-argument must include the key supporting evidence from the video (data, case study, policy reference, etc.). Example:

### Core Argument: Company X’s Q2 revenue growth comes from overseas market expansion

### Sub-argument 1: Overseas revenue share increased by 15% YoY

Evidence: Corporate financial report data (XX billion, +XX% YoY); target regions (Europe / Southeast Asia)

### Sub-argument 2: Overseas pricing higher than domestic, boosting profit margin

Evidence: Price comparison (domestic XX yuan vs. overseas XX yuan), margin difference (XX percentage points)

### Key Data / Cases / Policies

Individually extract and classify all high-value information mentioned in the video, marking the source. Examples:

Data source: XX Industry Institute 2024 Report

Case: Company X’s 2023 acquisition

Policy: 2024 Ministry of XX “Guiding Opinion on XX Industry”

If comparisons are made (YoY / QoQ / competitor), specify the dimension of comparison.

## Argumentation and Content Structure Analysis

Argumentation Methods

Identify and explain the video’s argumentation strategies (multiple may apply):

### Case-based Argumentation: Using company/industry examples (with names) to support claims. Explain relevance (e.g., “Tesla’s 4680 battery case demonstrates that energy density is key to EV range improvements”).

### Data-based Argumentation: Citing official/institutional data. Assess timeliness (e.g., “Using 2023 data to predict 2024 trends may present lag risks”).

### Policy-based Argumentation: Interpreting policy clauses to infer industry impact. Note any bias (e.g., “Focuses only on policy benefits, omitting implementation challenges”).

### Content Structure Assessment

Identify the video’s narrative structure (e.g., Problem → Cause → Solution, Past → Present → Future, Phenomenon → Essence → Impact). Evaluate clarity and coherence (e.g., “The video shifts from AI technical progress to retail applications without proper transitions, creating logical gaps”).

## Industry / Domain Contextualization

### Domain Positioning

Define the specific sub-domain focus of the video (e.g., Technology – AI Models – Enterprise Services, Business – New Retail – Community Group Buying, Finance – Capital Markets – Renewable Energy). Briefly outline the current core trends (based on publicly available information before May 2024). Example:

“Enterprise AI deployment trends emphasize lightweight solutions to lower entry barriers for SMEs.”

### Related Information Expansion

Add key contextual elements related to the domain:

Based on the video transcript, break down the content using the following structure:

## Basic Video Information

### Target Audience Identification

Evaluate the core audience group by analyzing the video’s language style (density of technical terms, level of accessibility) and content depth (introductory science / advanced analysis / industry outlook). Identify the audience (e.g., tech beginners, business professionals, financial investors, industry practitioners) and explain your reasoning.

## Core Ideas and Information Breakdown

### Core Argument Extraction

Summarize the main conclusion of the video in 1–2 sentences (e.g., “The video argues that in 2024 AI development will shift from a ‘technology race’ to ‘real-world applications,’ with enterprise services as the first breakthrough point”). Exclude background or illustrative details—focus only on the core.

## Logical Chain of Information

Following the narrative sequence or logical flow, break down the key sub-arguments that support the core argument. Present them in a chain:

Core Argument → Sub-argument 1 → Sub-argument 2 → Sub-argument 3

Each sub-argument should be paired with supporting evidence (data, case study, policy reference, etc.). Example:

#### Core Argument: Company XX’s Q2 revenue growth was driven by overseas market expansion

#### Sub-argument 1: Overseas revenue share increased by 15% YoY

Evidence: Financial report data cited in the video (XX billion, +XX% YoY), major growth regions (Europe / Southeast Asia)

#### Sub-argument 2: Overseas product pricing exceeded domestic pricing, driving higher margins

Evidence: Price comparison (domestic XX vs. overseas XX), margin gap (XX percentage points)

#### Key Data / Cases / Policies

Individually extract high-value information presented in the video, categorize them, and note the sources (e.g., “Data source: XX Industry Research Institute 2024 Report”, “Case: XX Company’s 2023 acquisition”, “Policy: 2024 Ministry of XX ‘Guiding Opinions on XX Industry’”).

If comparative data is used (YoY / QoQ / competitor), specify the comparison dimension.

## Argumentation and Content Structure Analysis

### Argumentation Methods

Analyze the core reasoning approaches used in the video. Multiple methods may apply, explain each with details:

### Case-based Argumentation

Using company/industry examples (with names) to support the claim. Explain the relevance (e.g., “Tesla’s 4680 battery case demonstrates that energy density improvements are key to EV range breakthroughs”).

### Data-based Argumentation

Citing institutional/official data (specific figures). Evaluate whether the data is up-to-date (e.g., “Citing 2023 data to argue 2024 trends may pose a timeliness risk”).

### Policy Interpretation

Drawing conclusions from policy clauses (specific provisions). Assess whether interpretation is biased (e.g., “Highlights only positive impacts of policy while ignoring implementation challenges”).

### Content Structure Assessment

Identify the video’s narrative structure (e.g., Problem → Cause → Solution, Past → Present → Future, Phenomenon → Essence → Impact). Evaluate whether the structure is clear and logically consistent (e.g., “The video shifts from AI progress to retail applications without transition, causing a logical gap”).

### Industry / Domain Contextualization

### Domain Positioning

Identify the specific sub-domain focus of the video (e.g., Technology – AI Models – Enterprise Services, Business – New Retail – Community Group Buying, Finance – Capital Markets – Renewable Energy). Briefly state the current key trends in that domain (based on publicly available information before May 2024). Example:

“In enterprise AI services, the current core trend is lightweight deployment, lowering adoption barriers for SMEs.”

### Related Information Expansion

Add key contextual elements based on the video content:

### Key Players

Mention the companies/institutions referenced in the video (e.g., “OpenAI, ByteDance”), and supplement with important but missing players (e.g., “Baidu’s Wenxin Yiyan, which has deep enterprise service deployment in China”).

### Potential Risks / Controversies

Highlight risks the video omits (e.g., “Cross-border e-commerce video emphasizes opportunities but ignores logistics delays and FX volatility”).

### Policy / Technology Relevance

Compare the video’s claims with current policy or technological developments (e.g., “The video predicts continuous price declines in solar modules, but Q1 2024 polysilicon rebound may alter this trajectory”).

## Conclusion and Value Evaluation

### Core Value Summary

Extract the main value of the video for viewers (e.g., “Simplifies AI application scenarios for beginners”, “Provides a financial report analysis framework for investors”, “Explains community group buying profit logic for entrepreneurs”).

### Objectivity and Limitations

#### Objectivity

Assess whether the video shows bias (e.g., “Acts as PR for one tech company, highlighting only strengths”) and whether the information is comprehensive (e.g., “Focuses only on bullish factors of a stock, omits losses”).

### Limitations

Identify shortcomings (e.g., “Data outdated,” “Case study lacks representativeness,” “Conclusions too absolute”).

#### Recommended Use Scenarios

Specify appropriate contexts for applying this analysis (e.g., “Useful for beginners to learn AI application scenarios”, “Helpful for entrepreneurs exploring business models”, “Not sufficient as the sole reference for professional investors”)