MARKET RESEARCH

Zoom interview JTBD theme miner to Notion research repo

After each Zoom user-interview recording finishes, this transcribes it, extracts jobs-to-be-done themes with supporting quotes.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionFetch interview transcriptZoomZoom
  • ActionExtract JTBD themes and quotesOpenAI
  • LogicSkip interviews with no clear job
  • OutputCreate entry in Notion research repoNotionNotion

What it does

Turns a finished Zoom user interview into a searchable research artifact. It pulls the recording transcript, asks an LLM to surface the customer's jobs-to-be-done (the progress they're trying to make), captures verbatim supporting quotes, and writes a clean entry into your Notion research repo so the corpus grows automatically after every call.

When to use it

Use it when your team runs a steady cadence of discovery or user interviews on Zoom and you want a living, structured theme repository instead of orphaned recordings nobody rewatches. Ideal for product, research, and founder-led discovery teams.

How it works

  1. 1A Zoom recording-completed event fires for the interview cloud recording.
  2. 2The flow fetches the recording's transcript text from Zoom.
  3. 3OpenAI extracts JTBD themes, the underlying motivation, current workarounds, and 2-3 verbatim supporting quotes per theme.
  4. 4A logic step drops interviews where no clear job emerged so the repo stays signal-dense.
  5. 5A new page is created in the Notion research repo with the themes, quotes, and a link back to the source recording.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  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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