SOCIAL MEDIA

Discord Sentiment Crisis Auto-Escalation

When a sudden coordinated surge of negative Discord messages crosses a crisis threshold, it pages the on-call brand lead via PagerDuty and opens a war-room Slack thread…

CategorySocial Media
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew messages in watched Discord channelsDiscordDiscord
  • ActionScore window and flag coordinated patterns with OpenAIOpenAI
  • LogicCheck volume spike and negativity against crisis threshold
  • ActionPage on-call brand lead via PagerDutyPagerDutyPagerDuty
  • OutputOpen war-room thread in Slack with evidenceSlack

What it does

Handles the worst case: a fast, coordinated wave of negative community reaction. It detects when negative message volume and sentiment both spike past a hard crisis threshold in a short window, then escalates loudly instead of waiting for a digest. It pages the on-call brand lead and spins up a war-room thread with the supporting quotes.

When to use it

Reserve this for high-stakes communities where a coordinated backlash can become a public crisis within an hour. Use it alongside the gentler early-warning workflow: that one catches drift, this one catches the fire.

How it works

  1. 1New Discord messages in watched channels trigger evaluation.
  2. 2OpenAI scores the recent window for sentiment and flags coordinated or brigading patterns.
  3. 3A logic step checks volume spike and negativity against the crisis threshold.
  4. 4If both clear it, PagerDuty pages the on-call brand lead.
  5. 5A Slack war-room thread is opened with the channel, spike metrics, and representative messages so responders start with full context.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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