All use cases
Plan Design Optimize Verify

One tool instead of five — and one bill instead of $74.70 a seat.

Consolidate Jira, Confluence, Lucidchart, Xray, and TestRail into one AI-native platform — for $29 a seat, not $74.70.

Most engineering orgs pay for a tracker, a wiki, a diagramming tool, and a test manager — and then pay again, in lost time, every time context has to be copied between them. Stride replaces that stack with one connected graph where stories, docs, diagrams, and tests are linked by default. The list-price math alone is $74.70 per seat down to $29.

What does engineering tool sprawl actually cost per seat?

Tool sprawl is the tax nobody approved. A typical stack — Jira for tracking, Confluence for docs, Lucidchart for diagrams, Xray for test execution, TestRail for test management — runs about $74.70 per seat per month at list price, and that's the cheap part. The expensive part is the seams: a story in Jira, its spec in Confluence, its architecture in Lucidchart, and its tests in TestRail are four disconnected records that humans keep in sync by hand. Onboarding is slow, audits are a scavenger hunt, and the AI you bolt onto any one tool can only see a quarter of the picture.

How does one tool replace Jira, Confluence, Lucidchart, and TestRail?

Stride collapses the stack into four modules over one graph: Plan (stories, sprints, releases), Design (diagrams, ADRs, tech radar), Optimize (process mining), and Verify (test management, defects, traceability). Because every artifact is a node with typed edges, the spec, the diagram, the tests, and the release notes for a story are one click — and one AI query — apart. You replace five bills and five integrations with one, at $29 per seat for all four modules.

  • Plan module replaces the Jira tracker (stories, epics, sprints, releases, AI planning)
  • Design module replaces Confluence + Lucidchart (docs, diagrams, ADRs in one place)
  • Verify module replaces Xray + TestRail (test cases, runs, defects, self-maintaining traceability)
  • One connected graph means the spec, diagram, tests, and release notes for a story are linked by default
  • One bill ($29/seat, all four modules) instead of five separate subscriptions
  • Jira import (OAuth + webhooks) so you migrate history, not just start over
Best for

Mid-market engineering orgs (20-300 engineers) paying for a separate tracker, wiki, diagramming tool, and test manager who are feeling the integration tax.

Not for

Teams whose wiki serves the whole company (marketing, HR, sales) — Stride is a delivery platform, not a general-purpose knowledge base, so you may keep a company wiki alongside it.

Frequently asked

Where does the $74.70 figure come from?
It is the combined per-seat list price of Jira + Confluence + Lucidchart + Xray + TestRail, verified against each vendor’s public pricing on 2026-04-29. Your actual spend may differ with annual or enterprise discounts — the point is the structural difference between five bills and one.
Do I have to migrate everything at once?
No. Most teams import their Jira backlog first (history included via OAuth + webhooks), run Stride alongside the old stack for a sprint or two, then retire tools one at a time. The 30-day migration playbook on our blog walks through the phased cutover.
Is test management really as deep as TestRail or Xray?
The Verify module covers test cases, test runs, defect analytics, and traceability matrices that maintain themselves because tests are linked to stories in the graph. We name the specific places TestRail and Xray are still deeper on our comparison pages — honesty is the editorial rule.
What about diagrams — is it a full Lucidchart replacement?
The Design module handles architecture diagrams, ADRs, and a tech radar. It is built for delivery diagrams (system, sequence, flow), not general-purpose whiteboarding — if your team lives in freeform brainstorming canvases, see the Stride vs Lucidchart and Stride vs Miro comparisons for the honest boundary.
How much do teams actually save?
The list-price delta is $74.70 → $29 per seat per month. The larger, harder-to-quantify saving is the context-switching and manual-sync time the seams used to cost — which is exactly the work the connected graph removes.