Workflow: Zapier + ChatGPT for automated meeting notes

Short answer
Use Zapier as the orchestrator: trigger on a new meeting recording, transcribe the audio (Whisper/Otter/Zoom), send the transcript to ChatGPT for structured summarization/action extraction, then create Jira issues and follow-ups automatically.

Recommendation (one-line)
Build a Zap: Zoom/Google Meet/Cloud storage → Transcription step → ChatGPT summarizer (prompted) → Jira create issue(s) + Slack/email notifications.

Why this works
Zapier has the integration coverage to connect meeting sources, transcription services, and Jira without custom servers. ChatGPT (or the OpenAI API) converts raw transcripts into high-value outputs: TL;DR, decisions, owners, deadlines, and ready-to-create Jira payloads.

Decision criteria (pick one depending on constraints)
- Budget: use a paid transcription service (Otter/Rev/Zoom auto-transcript) for highest accuracy; Whisper self-host or API if you want lower cost but need engineering setup.
- Security/compliance: keep transcription inside approved vendor (Zoom cloud or internal Whisper instance) if meetings contain sensitive data.
- Reliability/scale: prefer managed transcription (Otter/Rev) when >10 hrs/week of recording.
- Control/format: use ChatGPT/OpenAI API if you need customizable prompts and structured JSON output for Jira.

Practical checklist (step-by-step)
1. Trigger: Choose the Zap trigger — New Zoom Cloud Recording, new file in Google Drive/Dropbox, or Zapier’s webhook from your recorder.
2. Transcription: Add a transcription action — Otter/Rev/Zoom transcript or send the audio to Whisper/OpenAI transcription API. Save the transcript text to Zapier.
3. Summarize with ChatGPT: Call the ChatGPT/OpenAI action with a prompt that requests: summary (3 bullets), decisions, action items with owner + due date, and a list of Jira tasks as JSON (title, description, labels, priority, estimate).
- Example prompt snippet: “Produce: 1) 3-line summary, 2) decisions, 3) action items with owner and due date, 4) JSON array of Jira tasks (title, description, assignee email, priority).”
4. Parse response: Use Zapier’s text utilities or the “Parse JSON” step to extract the Jira tasks.
5. Create Jira issues: Use the Jira Cloud action to create issues from the parsed JSON. Attach timestamp links and the transcript file.
6. Notifications: Post a summary to Slack/email with links to created Jira issues and the full transcript.
7. QA: Log the original transcript and ChatGPT output in a team Slack channel for human verification for the first 20 meetings.

Best-for / Avoid-if
- Best for: Product teams needing consistent, fast notes and automated follow-ups with small-to-medium meeting volumes.
- Avoid if: Your meetings contain very sensitive PII/regulatory content unless your transcription and AI vendors meet compliance needs.

Prompts and quality tips
- Ask ChatGPT to return strictly-formatted JSON for Jira to avoid parsing errors. Include examples in the prompt.
- Add a human-review step (Slack or email) for initial weeks to catch prompt drift or transcription errors.

Tools to start with
- Use Zapier as the orchestrator and ChatGPT/OpenAI for summarization. Zapier’s broad integrations make connecting Zoom/Otter/Jira straightforward.

If you want, I can draft the exact Zap steps and a tested ChatGPT prompt + example JSON output for Jira creation.

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