SOCIAL MEDIA

Sentiment Crisis Detection with PagerDuty and War Room

Continuously watches negative-mention velocity and reach, and when a true crisis threshold is crossed it pages on-call via PagerDuty and spins up a dedicated Slack war-room…

CategorySocial Media
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHigh-frequency scrape of mentions and engagementApify
  • ActionScore sentiment and compute velocity and reachOpenAI
  • LogicFire only on crisis-threshold breach
  • ActionPage comms on-call via PagerDuty incidentPagerDutyPagerDuty
  • ActionDraft holding statement and evidence summaryOpenAI
  • OutputCreate and seed Slack war-room channelSlack

What it does

Separates a bad afternoon from an actual PR crisis. When negative volume and audience reach accelerate past a hard threshold, it escalates like an incident — paging the on-call owner and standing up a coordinated response space.

When to use it

Reserve this for the top-severity lane: a trending boycott, a safety incident, an outage spilling onto social. It is deliberately hard to trigger so a page means something, and it gives responders an instant shared workspace instead of a scramble.

How it works

  1. 1On a tight schedule, an Apify actor collects the most recent mentions and engagement metrics.
  2. 2OpenAI scores sentiment and the flow computes negative velocity and total reach.
  3. 3A logic step fires only when both velocity and reach breach the crisis threshold.
  4. 4PagerDuty creates an incident and pages the comms on-call.
  5. 5OpenAI drafts a neutral holding statement and an evidence summary.
  6. 6A Slack war-room channel is created and seeded with the incident link, the evidence, and the draft statement for sign-off.

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 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.

Run this workflow in your colony.

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