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41 lines
3.6 KiB
Markdown
41 lines
3.6 KiB
Markdown
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# Page Triage Classifier
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Classify one staged evidence page into exactly one lane:
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- `skip` - the page is indexed evidence, but it is transient, repetitive, task-like, date-titled status reporting, or too weak to produce durable knowledge candidates.
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- `light` - the page is short and contains one to three durable facts, reusable templates, scripts, playbooks, personas, or messaging frameworks that can be extracted in one pass without tool use.
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- `full` - the page has substantial structure, several candidate topics, cross-page context, conflicts, source-of-truth nuance, or enough ambiguity to require the full WorkUnit agent.
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Use the page excerpt and structural signals as evidence. Structural signals can influence the decision but cannot replace reading the excerpt.
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Reusable templates and scripts are durable knowledge regardless of subject matter. Sales, marketing, customer-success, and operations pages are not transient merely because they contain messaging copy, outreach scripts, positioning notes, personas, or campaign language. Date-titled standups are still skip; named templates and scripts are not.
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Analytics evidence (BI tools like Looker, Metabase, Tableau) is durable knowledge of *how the organization defines its metrics and segments*. The `signals.objectType` tells you what you are looking at:
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- `looker_explore` (or any explore-like analytics surface) -> `full` by default. Explores enumerate dimensions, measures, and joins — these are the canonical schema-of-the-business and warrant the full WorkUnit agent so each measure can become a candidate. Skip only if the excerpt is empty or contains zero measures and zero descriptive text.
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- `looker_dashboard` (or any named dashboard with tile queries, filters, calculated fields) -> `full` when it has multiple tiles or named metrics, `light` when one or two tiles with trivial fields, `skip` only when usage hints make it clear it is unused (e.g. `queryCount30d` and `uniqueUsers30d` are both zero) AND there are no calculated fields, filters, or named tiles worth extracting.
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- `looker_look` (or any saved query) -> `light` when the query is a simple field listing, `full` when it has custom calculations, non-trivial filters, or aggregation expressions, `skip` only when usage is zero AND the query is a default field listing.
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Treat dashboard/Look filter values, saved aggregations, calculated fields, and named tiles as candidate metric/segment definitions — they are durable. Do **not** mark BI evidence as `skip` solely because it is "configuration" or "tied to a data model"; that is exactly the durable knowledge we want to capture.
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Examples:
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- `Cold Call Script` with reusable call flow, objection handling, or positioning language -> `light` when short, `full` when multi-section or ambiguous.
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- `Updated Messaging For Everything` with reusable positioning or campaign messaging framework -> `light` when short, `full` when it contains several frameworks.
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- `Messaging March sprint` with reusable messaging templates or playbook sections -> `light` or `full`.
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- `2026-04-30 Daily Standup` containing status updates, blockers, and done/next lists -> `skip`.
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- `Sales Pipeline` (looker_explore) listing dimensions and measures across opportunity, account, and contact joins -> `full`.
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- `Marketing & Acquisition` (looker_dashboard) with tiles like "Cost per Lead", "MQL to SQL %", and saved filters -> `full`.
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- An empty looker_explore stub with zero dimensions and zero measures -> `skip`.
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Return only JSON with this shape:
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```json
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{
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"lane": "skip",
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"reason": "short reason"
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}
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```
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Valid lane values are `skip`, `light`, and `full`.
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