dbs-content-value: Content Traffic and Commercial Value Diagnosis
Task
Receive a piece of content and examine the audience response it may trigger when presented publicly:
- What viewers infer from the title, cover, and opening about what comes next, and whether they have a reason to continue;
- Whether the most valuable content later in the piece can actually be seen by viewers;
- Who will feel that the topic relates to them, and how close that relationship is;
- What payoff viewers gain from watching;
- Which content elements drive stopping, continued watching, commenting, saving, sharing, and following;
- Who makes up this traffic and what commercial value it has;
- How to revise the content to strengthen a particular outcome, and what that revision would sacrifice.
This Skill evaluates traffic conditions from the content side; it does not predict specific view counts.
Task Boundaries
This Skill treats content as a set of stimuli and rewards presented to viewers and analyzes how they are likely to respond. It is not responsible for verifying whether claims are correct, whether causal reasoning holds, or whether arguments meet academic standards.
If the user explicitly wants to determine whether a theory, fact, or empirical conclusion is valid, use
. This task is not embedded in the current diagnostic workflow.
Input Identification
Distinguishing User Instructions from the Content to Analyze
- Requirements raised by the user outside the content are the question to answer in the current round;
- Questions, self-posed questions, rhetorical questions, and other interrogative sentences inside the draft being analyzed are all content elements;
- Expressions such as “is it or isn't it,” “why,” and “could it be that” in the draft are analyzed by default for their effect on viewers; do not answer them or conduct online verification without being asked;
- If the user only pastes content, directly output a complete report.
Required Information
- Any one of the following: an idea, material, topic, title, script, or published work.
Optional Information
- The specific question the user most wants answered;
- The platform and content format;
- Exposure, retention, completion, interaction, or account baselines for published work;
- The product, service, account positioning, or business objectives;
- The viewpoints, cases, tone, and expression the user wants to retain.
When this optional information is missing, continue with the content-side diagnosis. Do not ask follow-up questions before presenting the report.
Five Core Judgments
1. Whether the Opening Makes People Continue
The opening refers to what viewers can see or hear before making a stay-or-leave decision. It typically includes the cover, title, first sentence, or first few seconds of a video.
Set the later content aside for now and focus only on the opening. Answer the following:
- What viewers think will be discussed next;
- How many people already have this question in mind;
- How the topic relates to viewers’ real-life circumstances, stakes, emotions, or identity;
- What viewers expect to gain by continuing;
- Whether the opening leaves a question worth pursuing.
If the opening provides no reason to continue, tell the user directly: although there is good content later, most people may never reach it. Cases, quotations, and methods later in the piece cannot be counted toward predictions of comments, saves, shares, and follows.
The internal judgment falls into the following cases, but do not output these category names externally; express them only as complete sentences:
- Most strangers have a reason to continue;
- Only people who already care about the issue will continue;
- The later content relates to many people, but the opening makes it seem like a discussion of a technical concept or internal matter;
- The opening does not help people see how the topic relates to them;
- The user has not provided an actual title, cover, first line, or opening visual, so it cannot yet be assessed.
2. Who This Is Relevant To
The audience relationship explains why the topic matters to certain people. Common relationships include:
- Current situation: viewers are currently experiencing a similar problem;
- Expected consequences: the content touches on their stakes, risks, opportunities, relationships, or identity;
- Unnamed experience: the content articulates a feeling viewers have experienced but never summarized;
- 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 particular person, scenario, outcome, or secret;
- Social utility: the content can be used to express a position, explain oneself, or participate in a conversation.
When assessing the relationship, explain separately:
- Who the core audience is;
- Which relationship is strongest;
- Whether it occurs frequently, during a particular stage, or only occasionally;
- Whether the current expression lets viewers recognize this relationship quickly;
- Whether the audience is a professional niche, a single group, multiple groups, or a broad shared situation.
3. What Viewers Get From Watching
The viewing payoff explains why viewers feel the content is worth watching. Common payoffs include:
- Explanatory payoff: gaining a simple reason that can be repeated;
- Judgment payoff: gaining criteria for distinguishing, evaluating, or choosing;
- Action payoff: knowing what to do next;
- Emotional payoff: gaining satisfaction, comfort, anger, surprise, hope, or release;
- Identity payoff: recognizing oneself, confirming a position, or gaining group belonging;
- Expression payoff: obtaining a line to repeat, a label, or a social talking point;
- Entertainment and aesthetic payoff: enjoying a story, performance, visual, or linguistic experience.
The viewing payoff is based on what viewers can actually obtain from the content. A viewpoint can be one-sided while still providing strong explanatory, emotional, and expression payoffs.
4. Whether Viewers Will Stop, Finish, and Interact
Assess the following behaviors separately rather than combining them into one overall score:
- Stop: why viewers are willing to stop scrolling at first glance;
- Continue watching: what else is worth waiting for later;
- Comment: why viewers would want to voice an opinion, rebut, contribute, or share their own experience;
- Save: why viewers would use the content again later;
- Share: why viewers would bring the content to someone else;
- Follow: why viewers would expect the author to continue providing similar content.
Strong assertions, one-sided attribution, identity opposition, absolute expressions, and conflict can all create distribution momentum. Explain which behavior each element is likely to drive and which group it may alienate.
5. The Commercial Value of This Traffic
Commercial value explains what this traffic is useful for to the author. Examine:
- Whether the traffic mainly comes from a broad audience, peers, potential customers, existing customers, or onlookers;
- Which of the author’s capabilities, identity, or positions the content showcases;
- Whether viewers are likely to develop motives for continued following, inquiries, purchases, or collaboration;
- How closely the content aligns with the long-term themes of a product, service, or account;
- Whether the people attracted by high-traffic elements have potential for downstream conversion.
When the user has not provided a product or business objectives, report separately:
- Broad-traffic value;
- Follow and account value;
- Potential commercial value and any unknowns.
Workflow
See references/diagnostic-model.md for the detailed assessment table.
Step 1: Identify the Current Question and Content Boundaries
Extract:
- Requirements raised by the user outside the draft;
- The starting and ending boundaries of the content being analyzed;
- The content’s core claims, cases, emotions, and expression style;
- Any platform, data, product, and business objectives that have been provided.
If the user asks a specific diagnostic question, answer it first. Questions inside the draft continue to be treated as content.
Step 2: Examine Only the Opening
Isolate the later content and examine only the information viewers encounter initially:
- In one sentence, state “what viewers think this piece is about to cover.”
- Determine whether this question already exists in viewers’ minds.
- Determine whether the opening reveals personal consequences, real-life circumstances, emotional conflict, group identity, an academic subject, a conceptual correction, or the author’s personal interest.
- State the payoff viewers expect from continuing.
- In plain language, explain who will continue, who will leave, and why.
If the opening cannot hold viewers, lead with this conclusion. Then read the full piece to find valuable material that has been buried, but say directly, “There is value later, but most people may not reach it.” Do not use later assets to retroactively raise judgments about current stopping, comments, saves, shares, and follows.
Strong claims, negations, and conflict only create stopping momentum when viewers care about the object of the conflict. Do not automatically label a sentence as a strong opening merely because it uses a conflicting structure.
Step 3: Map the Audience Relationships
Identify the one to three types of people most likely to react and explain for each:
- What they recognize in the content;
- How the topic affects them;
- The strength and frequency of the relationship;
- Whether the current content surfaces the relationship.
Do not use “everyone may be interested” in place of a specific relationship.
Step 4: Extract the Viewing Payoff
Answer:
- What viewers get first;
- After watching, what additional line, judgment, emotion, or action do they leave with;
- Whether the payoff is visible in the opening or requires waiting;
- How much the original text actually delivers and how much remains a promise.
Present the primary and secondary payoffs. The content does not need to provide every kind of value simultaneously.
Step 5: Assess Distribution Responses Separately
Assess stopping, continued watching, commenting, saving, sharing, and following separately:
- What drives the behavior;
- What creates friction;
- Which original element has the greatest effect;
- Whether confidence is a strong signal, medium signal, or unknown.
Without platform and performance data, report only content-side tendencies. Exposure and actual plays remain unknown.
If the opening cannot hold viewers:
- Assess whether viewers will stop based only on the opening;
- State directly that most viewers may not reach the valuable later content;
- Do not predict that the content can already generate comments, saves, shares, or follows.
Step 6: Assess Commercial Value
When the product, service, or business objectives are known, assess traffic fit and the conversion path. When they are unknown, analyze traffic composition, the capabilities demonstrated, and likely subsequent behaviors without asking follow-up questions before starting.
Step 7: Identify Constraints and Trade-offs
Constraints must come from audience responses:
- The relationship is too narrow or is surfaced too late;
- The viewing payoff is too weak, too slow, or too abstract;
- The opening provides no reason to stop;
- The later content provides no new information, emotion, or conflict;
- The content lacks reasons to comment, save, share, or follow;
- The audience is too far from the commercial conversion path.
Prioritize the opening. Once viewers have left at the opening, later structure, repetition, and commercial conversion can only be second-order issues and cannot override the opening conclusion.
The same expression may provide both benefits and costs. For example:
- One-sided attribution lowers the cost of understanding but may prompt some viewers to rebut it;
- Identity attacks increase comments but may alienate the targeted group;
- Complex explanations increase the reason to save but may reduce continued watching;
- Broad scenarios expand the audience but may weaken target-customer recognition.
Step 8: Provide Priority Revision Directions
For each recommendation, specify:
- Which distribution element to revise;
- Which audience response it is expected to strengthen;
- Which response it may reduce or which group it may alienate;
- Its impact on broad reach, audience growth, or commercial value;
- Which existing assets must be retained.
When the user has not provided business objectives, the recommendations may separately address “expanding reach,” “increasing follows,” and “strengthening commercial value.” Provide no more than three recommendations. If the user asks only for a diagnosis, do not rewrite the complete draft.
Mode Selection
Mode A: Complete Report
The user submits only content or asks about overall traffic, value, and commercial viability. Execute the complete workflow.
Mode B: Focused Question
The user asks only about a single issue, such as “Is this relevant to more people?”, “Why is nobody watching?”, or “Does this have commercial value?” Answer the question first and add only directly relevant judgments.
Mode C: Published Content with Low Traffic
Prioritize the data already provided by the user and distinguish between:
- Insufficient exposure;
- Exposure but insufficient stopping;
- Insufficient continued watching;
- Insufficient interaction or follows;
- Content that has generated a distribution response but has weak commercial conversion.
When the data is incomplete, complete the content-side diagnosis and mark the remaining areas as unknown.
External Expression Rules
The analysis method may be complex, but the language delivered to the user must be simple.
Default Requirements
- The first paragraph directly states whether the content can make people continue and why;
- Use natural expressions such as “most people will continue,” “only people who already care about the issue will watch,” and “there is good content later, but most people will not reach it.”;
- Every judgment quotes one part of the original text so the user can see where the conclusion came from;
- By default, state only the three to five most important findings;
- By default, provide no more than three revision recommendations;
- Keep simple content to about 500–900 Chinese characters; complex long-form content should generally not exceed 1,500 Chinese characters;
- Use short paragraphs and bullet points by default, without large tables;
- Expand into a complete analysis only when the user requests a detailed report.
Terms Forbidden in External Reports
The following terms may be used only in internal reasoning and reference models and must not appear in reports delivered to users:
- first screen, first-screen judgment, first-screen gate;
- broad-audience pass, target-audience pass;
- first-screen misclassification, first-screen insufficiency;
- information scent;
- reachable value, not-yet-reachable assets;
- strong signal, medium signal, weak signal;
- viewing payoff, audience relationship, distribution response.
Express these ideas in plain language instead:
- “What viewers will think you are about to cover when they see the opening…”;
- “Only … will care about this issue.”;
- “The truly valuable content is later, but many people will never reach it.”;
- “This line will make people stop / swipe away / comment / save.”;
- “This audience is very close to / far from your product.”
Output Format
markdown
## 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 already causes most viewers to leave, the output may be reduced to three parts: “One-Sentence Conclusion,” “Why the Opening Fails to Hold Viewers,” and “Which Later Value Should Be Brought Forward.” Do not continue filling out the template merely for the sake of completeness.
Boundaries with Adjacent Skills
- : determines whether a viewpoint, theory, causal claim, or empirical conclusion is valid; this Skill does not perform that task.
- : uses communication studies and social psychology to analyze resonance mechanisms, audience emotions, and sharing motivations; this Skill focuses on audience scope, viewing behavior, and commercial value.
- : uses communication studies and social psychology to diagnose resonance mechanisms in a draft; this Skill is more concerned with overall audience scope, viewing payoff, and differentiated outcomes.
- : designs content expression after the topic has been selected; this Skill first determines what audience reactions the content may trigger.
Stopping Conditions
- The user’s specific question has been answered;
- The audience relationship, viewing payoff, distribution response, commercial value, and priority recommendations have been provided;
- Any parts that depend on platform, visual, account, or backend data have been marked as unknown;
- If the user requested only a focused judgment, that judgment and the necessary explanation have been completed.
Self-Check
- Were user instructions distinguished from questions inside the draft?
- Was the later content isolated so that only the opening was used to determine what viewers think the content will cover?
- Was it checked whether the question raised by the opening already existed in viewers’ minds, and for how many?
- If the opening cannot hold viewers, was it explicitly stated that most people may not reach the valuable later content?
- Were later assets prevented from retroactively improving predictions of stopping and subsequent responses?
- Was it checked whether viewers care about the object of the conflict, rather than merely identifying a conflicting sentence structure?
- Was the audience response analyzed directly without shifting to claim verification?
- Was it made clear which people the topic relates to?
- Was it explained what viewers actually gain from watching?
- Were stopping, continued watching, commenting, saving, sharing, and following assessed separately?
- Were one-sided attribution, strong assertions, and identity conflict analyzed as possible distribution elements?
- Was commercial value tied to traffic composition, demonstrated capabilities, and subsequent actions?
- Were traffic constraints identified only from audience responses?
- Was it explained what each recommendation would strengthen and what it would sacrifice?
- Were specific view counts avoided?
- Were model terms such as “first screen,” “gate,” “pass,” “reachable,” “viewing payoff,” “audience relationship,” and “distribution response” kept out of external reports?
- Was the conclusion presented first, with the default length kept within a range the user can read quickly?
End immediately after completing the current task. Only when the user explicitly asks about the next step and
is already installed in the current environment, briefly suggest: “If you are unsure what to do next, you can enter
.”