SOCIAL MEDIA

High-Reach Detractor Escalation Triage

Monitors mentions hourly and when a negative post comes from a high-follower account it verifies the account's reach, files an escalation card in Coda.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHourly schedule
  • ActionScrape negative mentions with reach dataApify
  • LogicHigh-reach detractor? else exit
  • ActionScore damage and draft replyOpenAI
  • ActionFile escalation cardCodaCoda
  • OutputPriority ping to comms leadDiscordDiscord

What it does

Not every negative mention deserves the same response. This watches mentions hourly and isolates the dangerous ones: negative posts from accounts with large followings or verified influence. It confirms the account's real reach, scores how damaging the post is, and creates a prioritized escalation card so comms handles the loud voices first.

When to use it

Use it when reach matters as much as sentiment, an angry tweet from a 2-million-follower account is a different problem than one from a brand-new account. Good for teams that need to triage by impact, not just volume.

How it works

  1. 1An hourly schedule starts the run.
  2. 2Apify scrapes recent negative-leaning mentions with author follower counts.
  3. 3A logic step filters to negative posts from high-reach accounts and exits if none qualify.
  4. 4OpenAI scores potential damage and drafts a suggested first response.
  5. 5An escalation card with reach, severity, and draft reply is filed in Coda.
  6. 6A priority Discord ping routes the card to the comms lead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect CodaDocs, packs, automations.
  4. 4
    Connect DiscordCommunity channels + voice + bots.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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