SALES
Synthesize Zoom deal retros into a competitive objection-handling playbook
Watches for completed Zoom win/loss interview recordings, extracts the objections and competitor mentions from each transcript.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Zoom win/loss recording transcript readyZoom
- ActionFetch full interview transcriptZoom
- ActionExtract objections, competitor, and rebuttal as JSONOpenAI
- LogicRoute each objection to its theme bucket
- ActionAppend entries to Notion playbook sectionNotion
- OutputNotify enablement channel in SlackSlack
What it does
Every recorded win/loss interview becomes structured intelligence instead of a forgotten video. When a Zoom retro recording finishes processing, this workflow pulls the transcript, has an LLM tease out the specific objections raised, the competitor named (if any), and the rep's response, then files those entries into a structured Notion playbook page grouped by objection theme.
When to use it
Run this when your team records win/loss interviews in Zoom and you want a continuously updated playbook rather than a pile of recordings nobody rewatches. Ideal for sales enablement leads who own competitive positioning.
How it works
- 1A new Zoom cloud recording transcript becomes available and fires the trigger.
- 2The workflow fetches the full transcript text from Zoom.
- 3An OpenAI step extracts each objection, the competitor mentioned, deal outcome, and the winning or losing rebuttal as structured JSON.
- 4A logic step routes each extracted objection to its matching theme bucket (price, integration, security, etc.).
- 5The entries are appended to the Notion objection-handling playbook under the right section.
- 6A Slack message notifies the enablement channel that the playbook was updated with new entries.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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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