The table below defines practical operating bounds per persona. Conditions are expressed as measurable signal criteria and response targets, not subjective urgency labels [R1][R2][R6][R7].
| Persona | Early signal types | Suggested alert condition | Action SLA | Failure mode to monitor |
|---|---|---|---|---|
| Paid media (Google/Meta/TikTok/LinkedIn) | Positive trend category shifts, audience keyword acceleration, campaign sentiment changes | category trend momentum >= threshold + safety guardrail pass | 15-45 min to mapped campaign preview/apply decision | Applying weak or unsafe targeting updates without guardrails |
| Operations | Weather closure chatter, route disruption spikes, logistics anomalies | velocity >= 10x baseline AND persistence >= 15m | 15-30 min to incident owner acknowledgement | Single-source rumor escalation |
| Journalists | Beat keyword acceleration, source-cluster convergence, claim propagation | source diversity >= 3 clusters AND anomaly >= medium | 30-60 min to editorial triage | Chasing unverified narratives |
| Financial news | Ticker+phrase binding, catalyst language bursts, policy chatter | velocity >= 8x baseline AND persistence >= 10m | 10-20 min to research queue | False urgency from low-confidence social bursts |
| Marketers | Brand mention surges, creator phrase migration, campaign sentiment shifts | velocity >= 6x baseline AND diversity threshold met | 30-90 min to brief approval pipeline | Engaging moments without audience fit |
| Creators | Hook repetition, comment confusion spikes, format migration | acceleration > 0 for two windows + persistence gate | 15-45 min to script shortlist | Over-triggering on short-lived format noise |
Every persona maps to one flow. The business logic differs by team, but pipeline stages remain consistent and auditable.
Measure velocity, acceleration, persistence, and anomaly score against adaptive baselines.
Assign category, confidence, and severity using persona-specific rule sets.
Send signed webhook payloads to the team endpoint where work is coordinated.
Apply lightweight verification and ownership assignment before downstream action.
Execute runbook: incident, brief, editorial queue, or script pipeline.
Log outcomes to recalibrate thresholds and reduce recurring false positives.
Prioritize Google Ads, Meta Ads, TikTok Ads, and LinkedIn Ads workflows by mapping positive trend categories to campaign entities, then preview/apply updates with safety guardrails.
- Connect accounts in one click or use optional advanced custom setup
- Refresh keywords and targeting from category-aligned positive trends
- Apply safety guardrails before any write operation
Detect weather closures, labor actions, or route instability and route deterministic alerts into incident workflows.
- Create incident records automatically
- Assign on-call ownership with escalation policy
- Start reroute and stakeholder runbook checklist
Detect narrative acceleration and source clustering before the story fully consolidates.
- Route by desk and topic automatically
- Attach context summary + source links
- Open assignment draft with confidence note
Detect early catalyst language and ticker-topic binding for faster research and editorial response.
- Open research ticket with source evidence
- Route by sector or watchlist
- Trigger verification checklist before publication
Detect cultural moments early and route to campaign briefing workflows with measurable response windows.
- Generate campaign brief drafts automatically
- Route to channel owner and approvals
- Track response latency and publish timing
Detect niche trend transitions before saturation to prioritize script and production queues.
- Create script cards from high-confidence signals
- Prioritize by persistence and audience fit
- Schedule same-day production for short-window platforms
Operating assumptions in this page align with the same fixed evidence set used in Research and blog technical notes [R1]-[R7].
Start with a shared detect-classify-route pipeline and add persona-specific rules as you collect precision/recall outcomes.