SOCIAL MEDIA

Negative Mention-Spike Escalation to Teams

Detects spikes that are specifically negative or crisis-toned, filters out positive surges, and escalates an evidence pack with severity rating to a Microsoft Teams channel.

CategorySocial Media
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 15 minutes
  • ActionCollect mentions, flag volume spikeApify
  • LogicScore sentiment, exit if not negative
  • LogicCompute severity from volume and reach
  • OutputEscalate pack to crisis Teams channelMicrosoft Teams

What it does

Separates good buzz from bad. A spike from a viral fan moment shouldn't page the crisis team — a spike of complaints or backlash should. This workflow only escalates when the surge is meaningfully negative, and grades how urgent it is.

When to use it

Use this when your comms or risk team only wants to be pulled in for reputation threats, not every uptick. Ideal for orgs running incident response in Microsoft Teams who need signal, not noise.

How it works

  1. 1A schedule fires every 15 minutes.
  2. 2Apify collects recent mentions and the spike check flags above-baseline volume.
  3. 3A logic step scores sentiment across the spiking posts and exits if the surge is neutral or positive.
  4. 4For negative spikes, a severity rating is computed from volume, negativity, and author reach.
  5. 5The top negative posts plus the severity rating are assembled into an escalation pack.
  6. 6The pack is posted to the crisis-response Microsoft Teams channel, with high-severity events flagged for immediate attention.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect Microsoft TeamsChannels, chats, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    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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