dbs-content-value

dbs-content-value: Content Traffic and Commercial Value Diagnosis

Task

Receive a piece of content and study the audience reactions it may trigger as a public expression:

What viewers judge from the title, cover, and opening that will be discussed next, and whether there is a reason to continue;
Whether the most valuable content later on can actually be seen by viewers;
Who will feel this matter is relevant to them, and how close that relevance is;
What viewing reward viewers can get;
Which content elements will drive staying, continued viewing, commenting, saving, sharing, and following;
Who makes up this batch of traffic, and what commercial value it has;
How modifications can strengthen a certain outcome, and what will be sacrificed.

This Skill judges the traffic conditions on the content side; it does not predict specific play counts.

Task Boundaries

This Skill treats content as a set of stimuli and rewards presented to viewers, and analyzes how viewers may react. It is not responsible for verifying whether viewpoints are correct, whether causality holds, or whether argumentation meets academic standards.

If the user explicitly wants to judge whether a theory, fact, or empirical conclusion holds, use dbs-theory-grounding. This task is not embedded in the current diagnostic process.

Input Recognition

Distinguish user instructions from the content to be analyzed

Requirements the user raises outside the content are the questions to be answered in this round;
Questions, rhetorical questions, counter-questions, and interrogative sentences inside the manuscript to be analyzed all belong to content elements;
Expressions such as "is it" "why" and "could it be" in the manuscript are by default analyzed for their effect on viewers, without answering them on one's own or verifying them online;
When the user only pastes content, output the full report directly.

Must Obtain

Any one of an idea, material, topic, title, manuscript, or published work.

Optional Information

The specific question the user most wants to judge;
Platform and content format;
Exposure, retention, completion, interaction, or account baseline of published works;
Product, service, account positioning, or commercial goals;
Viewpoints, cases, tone, and expressions the user wants to keep.

When this optional information is missing, continue completing the content-side diagnosis. Do not default to asking questions before the report.

Five Core Judgments

1. Whether the opening can make people continue

The opening refers to what viewers can see or hear before making a stay-or-leave decision, usually including the cover, title, first sentence, or the first few seconds of a video.

First set the later text aside and look only at the opening, answering:

What viewers think will be discussed next;
How many people already had this question in their minds;
What relationship it has to viewers' real situation, interests, emotions, or identity;
What viewers expect to get from continuing to watch;
Whether the opening leaves a question worth pursuing.

When the opening does not provide a reason to continue, tell the user directly: although there is good content later, most people may not see it. Cases, memorable lines, and methods in the later text cannot be counted toward predictions of comments, saves, shares, and follows.

Internal judgment falls into the following cases; do not output these category names externally—explain only in complete sentences:

Most strangers have a reason to keep watching;
Only people already concerned about this issue will continue;
The later content is relevant to many people, but the opening makes it seem as if it is only discussing a technical concept or an internal topic;
The opening does not show people what this has to do with them;
The user has not provided an actual title, cover, first sentence, or opening visual, so it cannot be judged for now.

2. Who this matter concerns

Audience relationship answers “why this matter concerns certain people.” Common relationships include:

Current situation: viewers are experiencing the same kind of problem;
Expected consequences: the content involves interests, risks, opportunities, relationships, or identity;
Unnamed experience: the content expresses a feeling viewers have experienced but have not put into words;
Group identity: the content helps viewers confirm who they belong to, who they oppose, or how they see themselves;
Curiosity and voyeurism: viewers rarely encounter a certain kind of person, scene, outcome, or secret;
Social use: the content can be used to express a stance, explain oneself, or join a conversation.

When judging the relationship, explain separately:

Who the core audience is;
Which relationship is strongest;
Whether the relationship is high-frequency, stage-specific, or occasional;
Whether the current expression can quickly make viewers recognize this relationship;
Whether the audience scope is a professional niche, a single group, across groups, or a broad shared situation.

3. What viewers get from watching

Viewing payoff answers “why viewers feel this content is worth watching.” Common payoffs include:

Explanation payoff: gaining a simple, repeatable reason;
Judgment payoff: gaining criteria for distinguishing, evaluating, or choosing;
Action payoff: knowing what can be done next;
Emotional payoff: gaining satisfaction, comfort, anger, surprise, hope, or release;
Identity payoff: recognizing oneself, confirming a stance, or gaining group belonging;
Expression payoff: getting a line that can be repeated, a label, or a social talking point;
Entertainment and aesthetic payoff: gaining a story, performance, visual, or linguistic experience.

Viewing payoff is based on what viewers can actually obtain from the content. An opinion can be very one-sided while still providing strong explanation, emotional, and expression payoffs.

4. Whether viewers will stop, watch through, and interact

Judge the following behaviors separately; do not combine them into a single total score:

Stop: Why they are willing to stop at first glance;
Continue watching: What else is worth waiting for later;
Comment: Why viewers want to take a stance, rebut, add something, or tell their own experience;
Save: Why they will still use it later;
Share: Why they are willing to bring the content to others;
Follow: Why they expect the author to continue providing similar content.

Strong assertions, one-sided attribution, identity opposition, absolute expressions, and conflict can all constitute传播 momentum. When judging, explain which behavior it drives and which type of people it may repel.

5. What commercial value does this traffic have?

Business value answers “what use is this traffic to the author.” Check:

whether the traffic mainly comes from a broad audience, peers, potential customers, existing customers, or onlookers;
what kind of ability, identity, or stance the content displays for the author;
whether viewers will develop sustained attention, inquiries, purchases, or collaboration motivation;
the distance between the content and the product, service, or long-term topics of the account;
whether the people attracted by high-traffic elements have downstream conversion value.

When the user has not provided products and business goals, report separately:

broad traffic value;
attention and account value;
potential commercial value and unknowns.

Workflow

For the detailed judgment table, see references/diagnostic-model.md。

Step 1: Identify this round’s question and content boundaries

Extract:

the requirements the user raised outside the manuscript;
the start and end range of the content to be analyzed;
the core judgments, cases, emotions, and expression style of the content;
the platform, data, product, and business goals already provided.

When the user raises a specific diagnostic question, answer that question first. Questions within the manuscript continue to be treated as content analysis.

Step 2: Look only at the beginning

First isolate the later text and look only at the information viewers can initially access:

Write in one sentence “what viewers think this content is going to talk about”;
judge whether this question already exists in viewers’ minds;
judge whether the beginning reveals personal consequences, real-world circumstances, emotional conflict, identity relationships, or disciplinary objects, conceptual corrections, and the author’s interests;
write the reward viewers expect to receive if they continue watching;
explain in plain sentences who will continue watching, who will leave, and why.

When the beginning cannot retain people, output this conclusion first. Afterward, the full text may be read to look for buried good content, but it must be stated directly that “there is value later, but most people may not see it.” Later assets cannot be used in reverse to raise the current judgments of retention, comments, saves, shares, and follows.

Strong assertions, negations, and conflicts constitute retention drive only when viewers care about the object of the conflict. A strong opening cannot be automatically determined just because a conflict-style sentence is seen.

Step 3: Map the audience relationships

Find the 1–3 types of people most likely to react, and explain separately:

what they recognize in the content;
how this affects them;
relationship strength and frequency of occurrence;
whether the content currently reveals the relationship.

Do not use “everyone may be interested” to replace specific relationships.

Step 4: Extract viewing rewards

Answer:

what viewers get first;
after finishing, what sentence, judgment, emotion, or action they have gained;
whether the reward can be seen at the beginning or requires waiting;
how much the original text actually provides, and which parts remain only promises.

Output the primary reward and secondary reward; the content is not required to simultaneously have all values.

Step 5: Judge dissemination responses item by item

Judge separately by retention, continued viewing, comments, saves, shares, and follows:

what the driving force is;
what the resistance is;
the original-text elements with the greatest impact;
Determine whether the judgment is a strong signal, a medium signal, or unknown.

When there is no platform or data, report only the content-side tendency. Keep exposure and actual plays unknown.

If the opening cannot hold people:

Judge only by the opening whether viewers will stop;
Directly state that most people may not see the good content later on;
No longer predict that this content can already bring comments, saves, shares, or follows.

Step 6: Determine commercial value

When the product, service, or business goal is known, judge traffic match and the conversion path. When unknown, analyze traffic composition, how the author's abilities are shown, and possible subsequent behavior; do not ask follow-up questions before starting.

Step 7: Identify constraints and trade-offs

Constraints must come from audience reactions:

The relationship is too narrow or revealed too late;
The viewing payoff is too weak, too slow, or too abstract;
The opening gives no reason to stay;
The later content has no new information, emotion, or conflict;
It lacks motivation to comment, save, share, or follow;
The traffic audience is too far from the commercial conversion.

Prioritize judging the opening. When viewers have already left at the opening, the later structure, repetition, and commercial conversion can only be second-layer issues and cannot override the conclusion about the opening.

The same expression can bring both benefits and costs. For example:

One-sided attribution lowers the cost of understanding, and may also lead some viewers to argue back;
Identity attacks increase comments, and may also alienate the attacked group;
Complex explanations increase reasons to save, and may also reduce continued viewing;
Generalized scenarios expand the audience, and may also weaken target customers' ability to recognize themselves.

Step 8: Give priority revision directions

For each suggestion, clearly write:

Which communication element to revise;
Which audience reaction is expected to increase;
Which reaction may decrease or which type of people may be alienated;
What impact it has on broad traffic, follows, or commercial value;
Which existing assets must be retained.

When the user has not provided a business goal, you may separately give directions for "expand reach," "increase follows," and "enhance commercial value." Give at most 3 suggestions. When the user only asks for diagnosis, do not write a complete script for them.

Mode selection

Mode A: Full report

The user only submits content, or asks about overall traffic, value, and commercial potential. Run the full process.

Mode B: Local question

The user only asks a single question such as "Is this relevant to more people," "Why is no one watching," or "Does this have commercial value." Answer that question first, and add only directly related judgments.

Mode C: Already published with low traffic

Prioritize the data the user has already provided, and distinguish:

Insufficient exposure;
Exposure but insufficient retention;
Insufficient continued viewing;
Insufficient interaction or follows;
The content has a spread reaction, but insufficient commercial conversion.

When the data is incomplete, complete the content-side diagnosis and mark the other parts as unknown.

External expression rules

The analysis method can be complex, but the text delivered to the user must be simple.

Default requirements

The first paragraph should directly say whether this piece of content can make people keep watching, and why;
Use natural phrasing such as "most people will keep scrolling," "only people who already cared about this issue will watch," and "there is good content later, but most people won't see it";
Each judgment cites one passage from the source so the user knows where the conclusion comes from;
By default, state only the 3–5 most important findings;
By default, give at most 3 revision suggestions;
Keep simple content to about 500–900 Chinese characters; in principle, complex long drafts should not exceed 1,500 Chinese characters;
By default, use short paragraphs and bullet points; do not use large tables;
Expand into a full analysis only when the user requests a detailed report.

Prohibited external terms

The following terms may only be used in internal reasoning and reference models, and must not appear in reports given to users:

first screen, first-screen judgment, first-screen gate;
general audience pass, target audience pass;
first-screen misclassification, first-screen insufficiency;
information scent;
reachable value, assets not yet reached;
strong signal, medium signal, weak signal;
viewing return, audience relationship, propagation response.

For external use, change to plain language:

"When viewers see the opening, they will think you are going to talk about...";
"Only ... will care about this issue";
"The truly valuable content is later, but many people never get there";
"This sentence will make people pause / scroll away / comment / save";
"This group of people is very close to / very far from your product."

Output format

## 一句话结论

{这条内容会吸引谁；大多数人会继续还是离开；最直接的原因}

## 观众看到开头会怎么想

{他们以为后面要讲什么；为什么想继续或离开}

## 看下去以后能得到什么

- {最重要的收获}
- {只有确实存在时再补充第二项}

## 可能得到什么流量

- 播放：{...}
- 评论／收藏／关注：{只写最突出的行为}
- 商业价值：{这批人与产品或作者定位的距离}

## 最该改的地方

1. {最优先的一项；说明改后会带来什么变化}
2. {确有必要时再写}

When the opening has already made most people leave, the output can be reduced to three parts: "one-sentence conclusion," "why the opening fails to hold people," and "which later value should be moved earlier." Do not keep writing a full report just to fill out the template.

Boundaries with adjacent Skills

dbs-theory-grounding: judges whether an opinion, theory, causal claim, or empirical conclusion holds; this Skill does not undertake this task.
dbs-spread: explains why existing content resonates, evokes emotion, or is shared; this Skill evaluates the audience scope, traffic tendency, and commercial value of pre-publication or low-traffic content.
dbs-resonate: locates the exact sentences in an already written draft that fail to hit the target audience and gives deletion or revision suggestions; this Skill does not do full-draft sentence-by-sentence resonance rewriting.
dbs-hook: only optimizes short-video openings and generates revisions; this Skill evaluates the potential audience, traffic, and commercial value of the entire piece of content.
dbs-content: designs content expression after the topic is determined; this Skill first judges what audience reactions the content may trigger.

Stop conditions

The specific question raised by the user has been answered;
Audience relationship, viewing return, propagation response, commercial value, and priority suggestions have been given;
Parts that depend on platform, visuals, account, or backend data have been marked as unknown;
The user only requested a certain local judgment, and that judgment and the necessary explanation have been completed.

Self-check

Has a distinction been made between user instructions and questions inside the draft?
Has the later text been isolated so that only the opening is used to judge what viewers think the content is about?
Has it been checked how many people originally had the problem revealed by the opening in mind?
When the opening fails to hold people, has it been explicitly stated that most people will not see the good content later?
Has the use of later assets to reverse-inflate predictions of retention and subsequent reactions been avoided?
Did it check whether the audience cares about the conflict target, rather than only identifying conflict sentence patterns?
Did it directly analyze audience reactions without shifting into viewpoint verification?
Did it clearly state what relationship the content has with which people?
Did it clearly explain the viewing payoff the audience actually receives?
Did it separately assess stay, continued viewing, comments, saves, shares, and follows?
Did it analyze one-sided attribution, strong assertions, and identity conflict as possible propagation elements?
Did it ground commercial value in traffic composition, capability demonstration, and follow-up actions?
Did it seek traffic constraints only from audience reactions?
Did it explain what the recommendation will enhance and what it will sacrifice?
Did it avoid predicting specific play counts?
Externally, did it avoid model terms such as "first screen, gate, pass, reachable, viewing payoff, audience relationship, propagation reaction"?
Did it state the conclusion first and keep the default length within a range the user can read quickly?

After completing the current task, end directly. Only when the user explicitly asks about the next step, and the current environment already has /dbs installed, briefly prompt: "When the next step is uncertain, you can enter /dbs。」