MARKETING

Discord Negative Sentiment Spike Escalation to Monday

Monitors Discord for sudden surges in negative sentiment around a topic, and when a complaint cluster spikes it opens a high-priority Monday item and alerts the team so issues…

CategoryMarketing
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery-2-hours schedule
  • ActionFetch recent Discord messages and score sentimentDiscordDiscord
  • LogicDetect negative sentiment spike vs baseline
  • ActionDraft incident summary with OpenAIOpenAI
  • ActionCreate high-priority escalation item on Mondaymonday.com
  • OutputAlert team in Discord ops channelDiscordDiscord

What it does

This workflow runs an agent that periodically scans recent Discord activity for clusters of negative sentiment. When complaints about a single topic spike above the normal baseline — a sudden wave about a broken feature or a pricing change — it opens a high-priority item on a Monday board and pings the team, turning a brewing community problem into a tracked action before it spreads.

When to use it

Use it as an early-warning system for community trust issues. Routine feedback flows through your other digests; this one exists to catch the rare, fast-moving negativity spike that needs a same-day response.

How it works

  1. 1A schedule fires the agent every two hours during active hours.
  2. 2The agent fetches recent Discord messages and compares the volume of negative sentiment per topic against the rolling baseline.
  3. 3A logic step decides whether any topic has spiked beyond the alert threshold; if none, the run ends quietly.
  4. 4For a spiking topic, OpenAI drafts a concise incident summary with representative quotes.
  5. 5A high-priority Monday item is created and tagged escalation.
  6. 6An alert with the summary and Monday link is posted to the team's Discord ops channel.

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 monday.comVisual work management for teams.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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