Voice-to-requirements
Speaking is faster than typing, and a recorded conversation keeps context that a ticket throws away. This module turns a spoken requirement into something a pod can size and commit to.
How it works
1. You talk, the platform listens
Open the capture module and describe the outcome in your own words — problem, users, constraints, systems involved. Two to four minutes is usually enough.
2. The transcript becomes structure
The platform produces a first draft: actors and roles, user stories with acceptance criteria, explicit business rules, and a list of open questions it could not resolve.
3. Your pod reviews and estimates
The tech lead edits the draft with you — deleting what is out of scope, answering the open questions and attaching a size to each story. Nothing enters the sprint without that review.
4. It lands in the backlog with a trail
Stories arrive in the backlog linked to the original recording, so six months later anyone can hear how a requirement was actually described.
What it does not do
- It does not replace decisions. Priorities, trade-offs and scope are still agreed by people — the platform only makes the conversation cheaper to capture.
- It does not estimate on its own. Sizes come from your pod, with the context of the existing codebase.
- It is not a substitute for discovery. For platform work, the two-week discovery still happens first.
Getting better output
Do this
- Speak in outcomes: “customers should be able to reschedule a delivery without calling us”.
- Name the systems involved: the CRM, the payment provider, the warehouse app.
- Mention the constraint you care about: deadline, compliance rule, team that has to maintain it.
- Say what happens when things go wrong — those edge cases are where estimates usually hide.
Skip this
- Dictating screen-by-screen UI before the problem is understood.
- Describing a solution you already picked without stating the constraint behind it.
- Leaving out the systems that will need integration — they are the expensive part.
Privacy and data handling
Recordings and transcripts live in your workspace, not in a shared pool. Retention is configurable per client, access is least-privilege by default, and recordings can be deleted after a specification is signed off. For regulated engagements we run capture inside the boundary agreed in the security addendum.