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Customer Service & Helpdesk

Jira Service Management

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Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: not determined

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by Atlassian Corporation · www.atlassian.com

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Read this page as one judge. Each weighs the same scores by what they care about.

The Data Protection Officer

Weighted verdict

Sees a ticket archive for what it is: years of personal data customers typed themselves, including the things they should not have. Wants retention that executes, redaction, an audit of who read what, and an answer on whether vendor support can open a ticket.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Data Protection Officer

Ticketing, queues & SLA

How this is scored

The engine: how work is routed, prioritised, escalated and measured — and whether an agent can find the ticket they need among ten thousand.

0 — A shared mailbox with labels; no ownership, no status model, no history beyond the thread.

3 — Tickets with assignment and open/closed status, but routing is manual, there are no SLA timers and search covers subject lines only.

5 — Queues with rules-based routing, priorities, a working status model, SLA timers with breach warnings, and full-text search across ticket bodies.

8 — Business-hours-aware SLA policies per queue or customer, escalation chains, macros and triggers, merge and split, and reporting on first-response and resolution time by agent and queue.

10 — The workload is managed rather than merely tracked: capacity-aware assignment, SLA per contract with reporting an account manager could show a customer, audit of every status change, and search that finds the ticket from a half-remembered phrase.

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The Data Protection Officer

The product page sells AI, incident escalation and 'Assets', not the engine — the one escalation quote ('escalate them to an incident') is alert-to-incident, not ticket routing. Nothing in the evidence evidences queues, SLA timers, a status model, macros, or search across ticket bodies; a decade of customers' own words with no evidenced handling mechanics earns a point only for being a service platform at all. 1

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Channels in one queue

How this is scored

Email, chat, phone, portal, messengers and social — judged on what actually lands in the same queue with the same history, not on how many channel logos the marketing page carries.

0 — Email only.

3 — Email plus one more channel, but the second lives in its own inbox: no shared history, and a customer who switches channel starts again.

5 — Email, a web form or portal and live chat all landing as tickets in one queue, with the customer's history visible whichever channel they used.

8 — The above plus telephony integration with call logging, at least one messenger (WhatsApp, Signal or similar) with its consent handling stated, and a customer portal where a requester can see their own tickets.

10 — Channel is an implementation detail: every channel including voice and messengers writes to one conversation with one history, agents answer from one screen, and the customer can move between channels mid-issue without repeating themselves.

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The Data Protection Officer

No channel architecture is evidenced at all — not even email-to-ticket; the evidence's use cases are IT, HR and facilities service desks. The only channel-adjacent fact is SMS originator opt-in data in the privacy policy, which suggests an SMS feature exists somewhere at Atlassian, not that channels share one queue or one history. 1 3

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Knowledge base & deflection

How this is scored

Whether the product reduces the number of tickets as well as organising them: public help centre, article workflow, suggestions to agents and to customers.

0 — No knowledge base; answers live in agents' heads and old tickets.

3 — A basic article list, public or internal, with no editorial workflow, no versioning and no link between articles and tickets.

5 — A searchable public help centre with categories, draft and publish states, and agents able to insert an article into a reply.

8 — Article suggestions to the customer before they submit and to the agent while they answer, multilingual articles, review dates that flag stale content, and reporting on which articles deflect.

10 — Knowledge is a managed asset: gaps identified from unanswered tickets, article performance measured against ticket volume by topic, versioned content with approval, and deflection reported as a number the team can act on.

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The Data Protection Officer

'AI agents that draw on existing knowledge' plus AI 'spotting knowledge gaps and drafting new articles' evidences a knowledge base with gap detection — a 10-anchor trait. But nothing evidences editorial workflow, versioning, review dates, multilingual content, or deflection reported as a number the team can act on. 1

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Customer data protection

How this is scored

A ticket archive is personal data written by the data subject. Retention, deletion, access control, subject rights, and what the vendor does with attachments — judged on what executes rather than what is promised.

0 — No retention policy stated, no deletion path, agents all see everything, and no DPA is published.

3 — A DPA on request and coarse roles; deletion is described as something the customer arranges, and there is no stated retention period.

5 — A signable DPA published, configurable agent roles and queue-level visibility, a stated retention period, and deletion of a requester's data that can actually be executed.

8 — Automatic retention rules per queue or data category, attachment handling stated, an audit log of who opened which ticket, documented support for access and erasure requests, and pseudonymisation or redaction of ticket content.

10 — Built for a data-protection audit: retention executed and evidenced per category, field-level redaction, full audit trail, subprocessor list published, and the vendor's own support access to customer instances documented and consent-gated.

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The Data Protection Officer

A DPA exists ('Data Processing Addendum entered into with those customers') and the retention principle is at least honest about backups — delete or de-identify, or 'isolate it from any further use until deletion is possible' — but no retention period is stated for ticket data, and there is no evidence of per-queue retention rules, an audit log of who opened which ticket, redaction, or attachment handling. Worse, 'machine learning and artificial intelligence model training' runs under legitimate interests and 'generative artificial intelligence' is used in responding to support requests — a vendor claiming a legal basis to train on data, with no documented, consent-gated support access, is exactly what I would refuse in a DPA review. 3

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Integrations & API

How this is scored

The systems a helpdesk has to reach — CRM, shop, order management, identity — and whether the API is documented for building or gated behind a partner conversation.

0 — No API and no named integrations; context is copied in by hand.

3 — A handful of native integrations and a read-mostly API, with no webhooks and no documented rate limits.

5 — Named integrations for common CRM and shop systems, a documented REST API with keys, webhooks for the core ticket events, and SSO.

8 — Maintained bidirectional integrations, customer context from other systems shown inside the ticket, SCIM provisioning, documented rate limits and a sandbox.

10 — A component rather than a destination: versioned API with a deprecation policy, event streaming both directions, an app framework for in-ticket extensions, and integrations the vendor maintains rather than lists.

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The Data Protection Officer

Over 1,000 Marketplace apps is a real ecosystem, but a marketplace proves apps exist, not that a customer can build against a documented surface — no REST API, webhooks, rate limits or SCIM are evidenced anywhere in the evidence. The Google/Microsoft/Apple/Slack signup buttons are consumer login, not enterprise SSO. 1

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European sovereignty

How this is scored

Where the ticket archive lives, who the contracting entity is, which subprocessors touch it, and whether vendor support can read customer data. Independently sourced by the sovereignty pipeline; scored here as this buyer weighs it.

0 — Non-EU vendor and contracting entity, hosting unstated or non-EU, subprocessors unnamed.

3 — EU hosting offered as an option while the contracting entity is non-EU, or the subprocessor list is absent.

5 — EU hosting as standard and an EU contracting entity, but parts of the chain — support tooling, analytics, AI features — are non-EU without an explained safeguard.

8 — EU or DACH hosting with a named data-centre provider, EU contracting entity, full subprocessor list published, and any non-EU processing named with its legal basis.

10 — Sovereign end to end and evidenced: vendor, entity, hosting and every subprocessor in the EU, certification published, and a self-hosted or private-cloud option for buyers who need the archive on their own infrastructure.

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The Data Protection Officer

Non-EU vendor and contracting entities (Atlassian Pty Ltd, Atlassian US, Inc.), hosting unstated, subprocessors unnamed, and a policy that reserves transfer of information 'to wherever we or our third-party service providers operate' with DPF used for intra-affiliate transfers. The EU representative, Atlassian B.V., sits 'c/o Atlassian US, Inc. 350 Bush Street, Floor 13, San Francisco' — a representative that answers in California tells me everything; the evidence's own sovereignty attributes confirm jurisdiction, residency and subprocessors are all unconfirmed. 3

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Pricing transparency

How this is scored

Whether a support lead can compute the real annual invoice for their agent count — including the channels and features they actually need — from public pages alone.

0 — No public prices at all; every tier is a sales conversation.

3 — A per-agent headline exists, but the tier where the needed channel or SLA feature begins is unstated, or light-agent and contact limits are not mentioned.

5 — Per-agent prices public for the main tiers with billing period stated, but at least one commonly needed capability (telephony, messengers, SLA policies) sits in an unpriced bundle.

8 — Every tier and add-on priced publicly with per-agent maths, billing period, minimum term and VAT treatment stated; only genuinely custom enterprise work lacks a number.

10 — Complete price computability: a calculator or table producing the annual invoice for a given agent count and channel selection, including usage-metered channels and overage.

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The Data Protection Officer

Three tiers are public with per-agent maths — $0 for 3 agents, $20 and $51.42 per agent/month — and Enterprise is at least honestly labelled 'Contact sales', billed annually. But nothing maps channels or SLA capabilities to tiers, and there is no VAT treatment, add-on pricing or term statement: a support lead could price the agents but not the invoice. 2

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European sovereignty — proven facts

0 of 4 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Ownership Not determined ⚠ unverified — uncited Report an error
Data residency Not determined ⚠ unverified — uncited Report an error
Subprocessors Not determined ⚠ unverified — uncited Report an error

Where this could be wrong

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

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Sources (15)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

  1. 1 Product page www.atlassian.com Checked 5 Oct 2026 Details →
  2. 2 Pricing www.atlassian.com Checked 5 Oct 2026 +2 earlier captures: 15 Sep 2026, 31 Aug 2026 Details →
  3. 3 Privacy policy www.atlassian.com Checked 5 Oct 2026 Details →
  4. 4 Security / trust page www.atlassian.com Checked 5 Oct 2026 Details →
  5. 5 Imprint www.atlassian.com Checked 5 Oct 2026 Details →
  6. 6 Ticketing, queues & SLA — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  7. 7 Ticketing, queues & SLA — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  8. 8 Channels in one queue — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  9. 9 Channels in one queue — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  10. 10 Knowledge base & deflection — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  11. 11 Knowledge base & deflection — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  12. 12 Customer data protection — found from sitemap www.atlassian.com Checked 5 Oct 2026 Details →
  13. 13 Customer data protection — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  14. 14 Integrations & API — found from sitemap support.atlassian.com Checked 5 Oct 2026 Details →
  15. 15 Integrations & API — found from sitemap developer.atlassian.com Checked 5 Oct 2026 Details →