DeliverySheet vs Jira Service Management

A ticket is resolved. A commitment is kept or broken.

A service desk is built around one loop: a request arrives, someone picks it up, and it closes. The measures follow from that — time to first response, time to resolution, how many are open. For a password reset or a failed deployment those are exactly the right measures.

A project-sized ask does not fit the loop. "Improve mobile checkout before the board review" cannot be resolved; it can only be understood, sized, decided and then delivered or not. Put through a service desk it usually ends one of two ways: the ticket is closed by creating an epic, which records that work was started but not what was promised, or it sits in a queue marked "waiting", which is a slow maybe with an SLA clock on it. Neither leaves a record of who gave the estimate, who accepted the open questions, or what would count as done. The longer argument is in The intake form is a door.

What DeliverySheet holds that a service desk does not

• A capture floor. A request enters the lifecycle only with a stated need plus an impact or a trigger. Paste a Slack message or an email and AI drafts the structured demand; a bare topic gets a question back instead of a ticket.
• Shaping before sizing. Known facts, assumptions and open questions drafted from the pasted text and kept apart, for a person to confirm or correct — so nobody estimates a sentence.
• A decision with four exits. Plan it, run a time-boxed discovery, park it, or decline it — the last two with a reason on the record. "Waiting" is not one of the states.
• A readiness verdict. Dependencies, decisions, capacity and risks each read as not assessed, nothing found, or items, rolled into one verdict before anyone commits.
• Enforced commitment states. Committing a demand that is not ready requires a commitment exception — why now, what is missing, who accepts the risk, what would change the decision.
• An honest close. An honest close: what shipped against what was promised, what differed, and a written lesson before the demand counts as complete.

Where Jira Service Management is simply better

• A front door for everyone. A portal the whole company can submit through. DeliverySheet has no requester-facing form — a workspace member pastes the request in.
• Volume. Queues, assignment and SLAs for hundreds of small requests a week. DeliverySheet is built for a handful of large ones.
• Automation and approvals. Routing, reminders and escalation by rules you write. DeliverySheet sends requesters nothing.
• Incidents and changes. On-call, incident and change-management workflows. DeliverySheet has none.
• Living next to the work. A request links straight to the Jira issue that delivers it. DeliverySheet has no integrations today; the ticket is still written by a person once the decision is made.

Where the boundary is

A workable rule: if the request can be finished by one person in a few days and would look the same next time, it belongs in the service desk. If answering it honestly needs an owner, a capacity figure from the team that would do the work and a list of what is still unknown, it is a demand, and the service desk is only where it arrived. How the tracker itself fits is on the Jira and Linear page, and the engineering intake process essay walks the whole path.

To see the capture floor on one of your own requests first, the free request check reads a pasted request for need, impact and why-now — no account, nothing stored.