A real-time gadget from RVS that brings live SLA visibility directly to your Jira dashboards — no extra reporting tools required.
Service Level Agreements define the commitments your team makes to customers — response times, resolution windows, availability guarantees. Without visibility into how those commitments are being met, teams are reactive rather than proactive, and breaches go undetected until they've already damaged customer trust.
The SLA Dashboard Gadget brings that visibility directly onto your Jira dashboards, so your team can monitor, act on, and improve SLA performance without ever leaving Jira.
Here's how different teams use the SLA Dashboard Gadget day-to-day — with real examples from the app itself.
An IT operations team receives dozens of incidents each day across multiple priorities. Their SLA contract requires P1 incidents to receive a first response within 15 minutes and be resolved within 4 hours. Without a live view, agents only find out about a breach after it has happened.
With the gadget, the team pins a dashboard to their ops TV screen. They configure it to filter for their IT Support project, scoped to Incident issue types. The table shows every open ticket with live SLA countdown timers — green, amber, and red — so agents can see at a glance which tickets are at risk right now. A Time to Resolution chart grouped by priority gives team leads a daily visual of how well each priority band is being met.
Result: The team reduced P1 SLA breaches by catching amber-state tickets early and reassigning them before the clock ran out.
A SaaS company's customer support team handles requests across three tiers: Free, Pro, and Enterprise. Enterprise customers have a contractual SLA requiring a first response within 2 hours. The support manager needs a live view to ensure Enterprise tickets are never deprioritised in a busy queue.
They set up two gadgets on the same dashboard: one filtered by customer tier = Enterprise using JQL, and a second showing the overall queue. The real-time SLA status column lets agents self-triage — they can see which Enterprise tickets are approaching their response window without needing a manager to flag them.
The Time to First Response chart, grouped by assignee, also helps the manager spot if one agent's queue is overloaded before an SLA breach occurs.
Result: Zero missed Enterprise response SLAs in the month after adoption, and faster self-directed prioritisation across the whole team.
A managed services provider goes through predictable high-volume periods — Monday mornings, end-of-month billing windows, and product release days — when ticket volume spikes and SLA breaches are most likely. The ops lead needs early warning, not a retrospective report.
Using the gadget's JQL filter, they create a dashboard view scoped to tickets created in the last 24 hours with an open SLA status. During high-volume periods, this dashboard is front-and-centre. The gadget's live SLA counters tick down in real-time, making it obvious when a cluster of tickets all entered the amber zone simultaneously — a signal that a surge is happening and reallocation is needed.
The ops lead also uses the Time to Resolution chart grouped by request type to identify which categories consistently run close to the SLA limit, and feeds that into their staffing model.
Result: The team now proactively reallocates capacity during surges, cutting SLA-breach-related customer escalations in half.
Not all SLAs are customer-facing. An engineering team has an internal agreement: Critical bugs must be acknowledged within 1 hour and resolved within 1 business day. These commitments are tracked in Jira Software — not Jira Service Management — and the team previously had no live visibility into whether they were on track.
Because the SLA Dashboard Gadget works with both Jira Software and Jira Service Management, the team adds the gadget to their engineering dashboard, filtered to Bug issue types with Critical or Blocker priority. They extend the table to include the Assignee and Fix Version fields, so the view shows who owns what and which release cycle the fix belongs to.
The Time to Resolution chart grouped by fix version gives the engineering lead a clear picture of SLA performance sprint-over-sprint — useful data for retrospectives.
Result: The team achieved consistent SLA compliance on Critical bugs for the first time, and the retrospective chart data led to a revised triage process for Blocker issues.
| Option | Description |
|---|---|
| Project filter | Scope the gadget to one or more specific Jira projects. |
| Request / issue type | Narrow down to specific request types or issue types within a project. |
| Priority filter | Focus the view on high-priority or critical issues only. |
| JQL query | Use any custom JQL expression for precise, advanced filtering. |
| Saved Jira filters | Reuse existing saved filters from your Jira instance. |
| Table fields | Add extra Jira fields (assignee, labels, fix version, etc.) to the data table. |
| Chart metric & grouping | Choose Time to First Response or Time to Resolution, grouped by priority, assignee, request type, and more. |
Jira Cloud only, partner-supported by RVS (Silver Marketplace Partner).
Rahul_RVS
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