TL;DR: Paste your Jira or Linear ticket into TaloTrace and get a running test back, no test steps to write, and reviewed findings once they clear review.
Key Takeaways
Linear import: Linear issues import directly into TaloTrace as a knowledge doc that TaloTrace uses when planning the test.
Jira today: Jira's integration is issue export only, so a Jira ticket's text gets pasted in as a doc rather than imported automatically.
No scripts: you describe the flow in plain language and TaloTrace explores the running app, plans the journey, and drives it itself.
Proof, not appearance: a goal only counts as done when a machine-checkable predicate proves the outcome changed, not when a screen merely looks right.
Evidence included: every finding ships with a recording, the time window where the defect shows, and a severity rating you can shape with your own rubric.
Turnaround: findings are reviewed before they reach you, so you're not looking at a raw, unverified dump of possible bugs.
Closed loop: findings that pass review can export back into Jira, Linear, or GitHub once you turn that on for the project.
What Are Engineering and QA Teams Actually Trying to Do?
You have a backlog of Jira or Linear tickets, each describing a feature or a fix, and you want a runnable test out of that ticket text instead of translating it into automation code by hand. The job is turning ticket language into something that actually exercises the app and tells you whether the described behaviour holds. This is one of the most common jobs the teams in our engineering and QA leader base bring to TaloTrace first.
Can TaloTrace turn a Linear ticket into a running test automatically?
Linear | Jira | |
|---|---|---|
Import mechanism | Imports directly as a doc | Issue export only, paste the ticket text in as a doc |
Re-sync | Re-importing refreshes the doc in place | Manual, no re-sync |
Editable after import | Yes, in the app | N/A (pasted text) |
Yes, with one caveat: Linear issues import directly into TaloTrace as a knowledge doc, so the ticket's description and acceptance criteria become context TaloTrace plans from, rather than a starting point you rewrite into a script. Re-importing the same issue refreshes that doc in place instead of duplicating it, and the doc can be edited in the app afterward.
You still point TaloTrace at your running app, and you can optionally add a short plain-language description of the flow you care about most. What you do not do is write test steps.
What about Jira tickets?
Not the same way, today. TaloTrace's Jira integration is issue export only: findings that pass review can be filed into Jira, but there is no matching import path that pulls a Jira ticket in as a doc the way Linear issues do, which is why we built the paste-in path instead of waiting on a native import.
The workaround is straightforward. Docs can be pasted directly into TaloTrace, so you copy the ticket's text in as a doc yourself. From there, TaloTrace uses it for planning exactly the way it would an imported Linear issue.
How does a ticket actually become a running test?
This is goal-based test building: TaloTrace explores the running app, plans the user journeys worth testing, drives each one to a verifiable outcome, and turns the journeys it completes into replayable scenarios. It commits real actions such as create, save, and submit, and reads the resulting screen to confirm what changed. Only destructive or irreversible actions, like deleting an account or making a payment, are held back.
A journey is not marked done because the screen looks right. A machine-checkable predicate has to be false before the action and true after it, so a screen that already showed the expected state cannot falsely pass. You can also declare boundaries TaloTrace should stay inside; a flow that would cross one is recorded as blocked rather than driven through.
What do you get back once the test runs and how fast?
Each finding is backed by a screen recording, the time window inside that recording where the defect shows, TaloTrace's reasoning, and step-by-step reproduction, including an Evidence panel with the step-by-step trajectory. Repeated observations of the same defect collapse into a single issue rather than showing up many times.
Severity comes through as one of five customer-facing levels, Critical, High, Medium, Low, or Trivial, shown with its internal code, for example "Critical (P0)". You can supply your own severity-rating guidance and TaloTrace follows it when rating findings.
Results start hidden. A finding becomes visible only after a reviewer approves it, or the project is configured to auto-approve, and low-confidence findings are held separately so they can never be released in bulk. Once a finding passes review, it can export to Jira, Linear, or GitHub as a ticket, off by default per project, and idempotent, so an already-filed finding gets commented on instead of duplicated.
What makes TaloTrace different here?
Most of what makes this work traces back to how TaloTrace reviews findings independently before they reach you, covered on why teams use TaloTrace. It proves a goal completed with a machine-checkable predicate instead of assuming a journey passed because the screen looked fine. It separates finding a bug from reporting it, independently reviewing each finding before anything reaches you. And it navigates by looking at the screen rather than brittle element IDs, so a scenario built from a ticket keeps working as the UI changes around it.
Where does this capability stop?
Jira ticket import is not automatic; you paste the text in as a doc. TaloTrace runs on three cloud-hosted execution planes, a browser, an Android emulator, and an iOS Simulator, chosen automatically from your app's platform, with no physical devices on any of them.
Running the same scenarios across several device or OS configurations at once is plan-gated: the free trial runs the default profile for its platform, and paid tiers unlock alternate profiles. And triggering is on demand or on a recurring daily or weekly schedule at a set time, not tied to a ticket's status changing or a pull request opening; there is no PR-triggered run and no CI/CD pipeline integration today.
Who Is This Workflow For?
This workflow tends to matter most for teams who already ship to web or mobile regularly and can't keep manual QA in step with the backlog, see the full breakdown of industries and roles TaloTrace serves if you want to check the fit for your team before applying.
How Do You Get It?
Most TaloTrace tiers are published and buyable directly; see the pricing page for the current ladder. Larger or custom needs are handled through sales. TaloTrace's beta is open now, apply for early access to walk through importing a ticket and watching TaloTrace build the scenario from it.
Frequently Asked Questions
Can I import a Jira ticket into TaloTrace the same way I import a Linear issue?
Not today. TaloTrace's Jira integration is issue export only, so instead of importing, paste the ticket's text into TaloTrace as a doc and TaloTrace plans and drives the test from that.
Do I still need to write test steps for the ticket's test to run?
No. You point TaloTrace at your app, optionally describe the flow in plain language, and TaloTrace explores the app, plans the journey, and drives it to a verified outcome itself.
How does TaloTrace know the ticket's flow actually completed?
A goal only counts as done when a machine-checkable predicate is false before the action and true after it, so a screen that merely looks right without that state change does not pass.
How long does it take to get results back after I paste in a ticket?
Findings stay hidden until they pass review — either explicit reviewer approval, or auto-approval if a project is configured for it — so you're never looking at raw, unverified output.
Can findings from a ticket-driven test go back into Jira or Linear as tickets?
Yes. Once a finding passes review it can be exported to Jira, Linear, or GitHub if you have turned that on for the project. Export is off by default and will not create duplicate tickets on repeat runs.
Does this work if the ticket describes a mobile flow instead of a web flow?
Yes. TaloTrace runs on a browser, an Android emulator, or an iOS Simulator, chosen automatically from your app's platform, though physical devices are not offered on any of them.
