CUSTOMER SUPPORT
Log Zoom call sentiment dips to an Airtable coaching tracker
Records every Zoom support call's sentiment-dip findings as structured rows in an Airtable coaching tracker.
How it runs
The automated pipeline, trigger to output.
- TriggerZoom support call recording completesZoom
- ActionScore sentiment dips with topic tags via OpenAIOpenAI
- ActionAppend structured row to Airtable trackerAirtable
- LogicCount agent's flagged calls in rolling window
- OutputNudge lead in Slack on repeat-offense thresholdSlack
What it does
Turns Zoom support calls into a durable coaching dataset. Each completed call is scored for sentiment dips and written as a structured row in Airtable, capturing the agent, call date, dip count, severity, and the triggering topic. When an agent accumulates enough flagged calls in a rolling window, the lead gets a Slack nudge to address the pattern.
When to use it
Use this when you want a system of record for call quality, not just one-off alerts. It is ideal for teams building a coaching history they can filter, report on, and revisit during reviews, while still getting proactively pinged about repeat offenders.
How it works
- 1A Zoom recording-completed event fires for a finished support call.
- 2The flow fetches the transcript and OpenAI scores sentiment dips with topic tags.
- 3A structured row is appended to the Airtable coaching tracker.
- 4A logic step counts the agent's flagged calls in the rolling window.
- 5If the threshold is crossed, a Slack message nudges the lead; otherwise the row is simply logged.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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