MARKET RESEARCH
Route Zoom Feature Requests into Linear
Transcribes a finished customer-research Zoom call, detects explicit feature requests and pain points, dedupes them against existing Linear issues.
How it runs
The automated pipeline, trigger to output.
- TriggerZoom recording completedZoom
- ActionFetch transcriptZoom
- ActionExtract feature requests with quotesOpenAI
- ActionSearch Linear for matching issueLinear
- LogicBranch: append evidence or create issue
- OutputFile or update Linear issuesLinear
What it does
Closes the loop between customer conversations and the backlog. It pulls concrete feature requests out of an interview and gets them in front of engineering, attaching the customer's own words as evidence.
When to use it
Use it when valuable asks get lost between research and roadmap. Best for teams running Linear who want interviews to directly inform prioritization with real demand signal.
How it works
- 1A Zoom recording-completed event triggers the flow.
- 2The transcript is fetched from Zoom.
- 3An OpenAI step extracts distinct feature requests and pain points, each with a supporting quote.
- 4For each request, the flow searches Linear for a semantically similar existing issue.
- 5A logic branch decides: if a match exists, append the customer quote as a comment and bump a demand counter; if not, create a new triage issue.
- 6The new or updated Linear issues are labeled with the source interview for traceability.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.