Acceptance criteria2 of 53 of 54 of 55 of 5 complete
Apple Pay shows at supported checkoutsCard fallback on payment errorOrder confirmation within 2 secondsDeclined cards show an inline errorHidden on unsupported devices
Generate acceptance criteria
StoryORB-131Full View
Refund flow for partial orders
In ProgressDoneMediumAKAnna Kelly
Acceptance criteria2 of 53 of 54 of 55 of 5 complete
Partial amounts validate against the orderRefund posts back to the original methodLedger entry links to the orderCustomer email confirms the refundFailed refunds surface a retry
Generate acceptance criteria
app.stride.page/plan/issuesPendingPassed
In Progress
ORB-128
Add Apple Pay to checkout
ORB-131
Refund flow for partial orders
ORB-531
Smart retry logic for failed charges
ORB-132
Currency rounding audit
Done
ORB-114
Retry failed Stripe webhooks
ORB-128
Add Apple Pay to checkout
ORB-114
Retry failed Stripe webhooks
Context dies between seven tools.
Your team juggles Jira for planning, Confluence for docs, Miro for architecture, TestRail for QA, and a dozen spreadsheets for process tracking. Context is lost between tools. AI is bolted on as chatbots that don't understand your codebase. Nothing is connected.
7+ toolsPlanning, docs, diagrams, QA and process tracking: the typical delivery stack
5×Every feature gets retold five times: ticket, doc, diagram, test plan, status update
~$144Per seat, per month, for the typical Jira-era stack, before anyone ships
Nothing to glue together.
Plan
Boards, backlog, sprints and releases, with AI that drafts epics, stories and acceptance criteria from your real delivery history
Design
Diagrams, ADRs and scored solution options: your whole architecture, versioned, reviewable and kept in sync with the work
Optimize
BPMN modeling, process mining and what-if simulation, from finding the bottleneck to proving the automation ROI
Verify
End-to-end quality: AI-generated tests, risk scoring, live traceability and release gates that block on gaps
Stride holds the whole record of your product: the plan, the design, the tests, the decisions. Your team works it in the UI. Your coding agents read and write the same record over MCP.
Context over MCP
What a coding agent knows before it writes a line
The same agent, two briefs. A bare ticket makes it guess. Stride sends the decisions your team already made, so it builds to them.
From Stride8 linked inputsPRD lineADR + trade-offDesign diagramData schemaAPI contractProcess detailTests + defectsDiscussionFull payloadCoding agentClaude Code · Codex · CursorBuilds to decisions already made.Right the first time.versusFrom a bare ticket2 inputsTicket titleAcceptance criteriaNo diagramNo schemaNo ADRNo contractNo processNo discussionA snippetGuesses the missing parts.Rework burns hours and tokens.
From Stride8 linked inputsPRD lineADR + trade-offDesign diagramData schemaAPI contractProcess detailTests + defectsDiscussionFull payloadCoding agentClaude Code · Codex · CursorBuilds to decisions already made.Right the first time.versusFrom a bare ticket2 inputsTicket titleAcceptance criteriaNo diagramNo schemaNo ADRNo contractNo processNo discussionA snippetThe same agentGuesses the missing parts.Rework burns hours and tokens.
116MCP toolscovering planning, design, testing, optimizing and releasing
4modulesPlan, Design, Optimize and Verify write to the same graph
Claude Code, Codex + Cursorone MCP server, any agent, a tool for every object
Both sides
Leads ask in plain words. The record answers in specs.
Functional leads drop asks into the record. AI turns them into stories, specs and tests. Engineers and their agents work the same record over MCP and file their own updates as they go.
MRKSDRFunctional leadsProduct · PM · BusinessLivePlain-words asksLive status backOne recordAI turns asks into stories, specs and testsStorySpecTestDrafted tech specsMCP · kept currentTPJSEngineering + QAHumans and their agents, the same accessAgents
MRKSDRFunctional leadsProduct · PM · BusinessLivePlain-words asksLive status backOne recordAI turns asks into stories, specs and testsStorySpecTestDrafted tech specsMCP · kept currentTPJSEngineering + QAHumans and their agents, the same accessAgents
Agents file their own updates over MCP, so tickets keep themselves current. Leads read live truth instead of asking for status. Asks arrive as drafted specs, not blank tickets.
Either side can start an artifact. The other finishes it.
Stride vs. five tabs and an admin team. We tell you when Jira or Linear is the better fit, and why most teams still pick Stride.
One bill, not seven
The price of doing it the old way
Add up the tools you'd buy to match Stride's feature set. Stride is the same value at a flat $39/seat.
All-in
Stride Pro
AI-native delivery OS
$39/ seat / mo
Plan + Design + Optimize + Verify
Library docs + diagrams in-platform
AI on every artifact, no add-ons
One vendor, one bill, one login
The other way
Jira-anchored stack
7 vendors, 7 contracts, 7 renewal dates
Jira PremiumReplaced by Stride · Plan
$18.30
Confluence PremiumReplaced by Stride · Docs
$13.20
LucidchartReplaced by Stride · Design
$15.00
Visual Paradigm StandardReplaced by Stride · Optimize
$19.00
Figma ProfessionalReplaced by Stride · Design
$15.00
TestRailReplaced by Stride · Verify
$38.00
ChatGPT TeamReplaced by Stride · AI
$25.00
Total / seat / mo$143.50
The other way
Linear-anchored stack
7 best-of-breed tools instead of one platform
Linear BusinessReplaced by Stride · Plan
$18.00
Notion BusinessReplaced by Stride · Docs
$24.00
Miro BusinessReplaced by Stride · Design
$25.00
Figma ProfessionalReplaced by Stride · Design
$15.00
Visual Paradigm StandardReplaced by Stride · Optimize
$19.00
TestRailReplaced by Stride · Verify
$38.00
ChatGPT TeamReplaced by Stride · AI
$25.00
Total / seat / mo$164.00
You save $105–$125/seat/mo· 73–76% lower TCO
Numbers assume one seat per tool with the cheapest plan that matches Stride's feature set. Prices verified against vendor pricing pages on 2026-07-25; your real procurement quote will be higher than this.
Feature
Most completeStrideAI-native delivery OS
JiraConfigurable issue tracker
LinearPolished issue tracker
AI-written acceptance criteria
Via add-ons (extra cost)
Basic (Linear Assistant)
AI test case generation
AI release notes
Via marketplace apps
AI architecture reviewAI flags risk in your C4 diagrams + ADR drafts.
AI process mining + automation
Architecture diagrams + ADRs
Process mining + simulation
QA test coverage as first-class
Via marketplace apps
Defect tracking
First-class
Labels on issues
Cross-module traceabilityEvery story links to its tests, ADRs, and processes.
Issue tracking + sprints / cycles
Real-time collab + @mentions
Public shareable artifact links
Projects only
Modern UI out of the box
Works in 5 minutes
Expect a week of config
Best-in-class
Native mobile appHonest: Linear's mobile app is more mature than ours.
PWA
Best-in-class
Time-to-first-value
Works in 5 minutes
Expect a week of config
Minutes
AI included in every planA monthly AI-credit allowance is included on every plan; buy more credits anytime, no add-ons or separate AI seats.
Limited
Per-seat monthly price (Pro)Jira and Linear look cheaper until you add the six other tools each needs to match Stride.
$39
$7.91 (Standard) / $18.30 (Premium)
$10 (Basic) / $18 (Business)
Total stack cost (typical bundle)Tools you would buy to match Stride's feature set. See bundle breakdown above.
If you run 200-state workflows, Jira is the right fit.
Stride
Pragmatic
Jira
20-year head start
Linear
Pragmatic
Third-party integration marketplace
Stride
Public API + webhooks
Jira
Atlassian Marketplace (thousands)
Linear
Cycles platform
Where Jira or Linear is genuinely stronger
Honest comparisons rank above dishonest ones. Here's what we don't pretend to do better.
Honest take
Jira is the better fit when…
Large enterprises with dedicated Jira admins and complex customisation needs.
›Jira has a 20-year head start on custom workflows and field-level permissions. If your team runs a 200-state workflow with 40 custom screens, Stride is not the right fit.
›Atlassian Marketplace has thousands of apps. Stride has a public API + webhooks but a smaller integration ecosystem.
Switching from Jira or Linear? Bring your whole backlog with you.
Export to CSV and Stride's import wizard auto-maps the fields you'd otherwise retype: Title, Description, Status, Priority, Assignee. And your data is never locked in: export everything back out whenever you want.
Credits meter AI across all four modules. Most everyday work costs a credit or two; only the big pipelines cost real credits, and a live meter in the app shows what you’ve used.
Everyday workfrom 1 credit
Draft a user story
Generate test cases for a story
Ask the agent a question
Suggest a sprint goal
Root-cause a defect
Deeper generationsfrom 3 credits
Architecture options or an ADR
Generate a diagram from a story
Design a UI mockup
Turn a story into a BPMN process
Write release notes
Full pipelinesfrom 100 credits
PRD wizard to a 60-story backlog, or a legacy-system analysis
Starter
200credits / seat / mo
Two PRD runs, or a sprint of stories, tests and diagrams
Pro
1,000credits / seat / mo
Ten PRD runs, or AI on every story a team ships in a month
Enterprise
1,500credits / seat / mo
Fifteen-plus runs, with a custom allowance on request
Human or AI agent, browser or API key: every request clears the same six gates before it touches your data.
Gate 1 of 6
Encrypted everywhere
Encryption is the floor, not the feature.
AES-256 encryption at rest, TLS 1.2+ in transit
Passwords hashed with bcrypt and timing-safe comparison
128-bit CSPRNG tokens for every invite and share link
Webhooks signed so receivers can verify origin
DPA available on requestEnterprise SLA and on-premise deployment on requestSOC 2 Type I in progressEU data residency on roadmapPCI-compliant payments handled by Stripe
FAQ
Questions, answered.
Sign up and pick a plan (a card is required to start), then create a project and describe your tech stack. That's it: most teams are on a populated board in under two minutes. The AI immediately starts generating architecture options, writing stories, and suggesting test strategies based on your project context.
Jira handles task tracking. ChatGPT is a general chatbot. Stride is purpose-built for software delivery: structured AI that generates architecture solutions, writes test cases from stories, discovers process bottlenecks, and connects everything with full traceability. No copy-pasting between tools.
Nothing breaks. You'll get a heads-up as you approach your plan's included AI-credit allowance (200 credits per seat per month on Starter), and you can top up with more credits anytime. Upgrading to Pro ($39/seat/mo) raises the allowance to 1,000 credits per seat, and adds unlimited projects, 100 seats and the audit log.
Yes. Storage is per seat, so it grows as you add teammates. Starter includes 1 GB per seat (up to 5 GB), Pro includes 5 GB per seat (up to 500 GB at 100 seats), and Enterprise includes up to 1 TB. Only file attachments count toward the cap, and you can see your usage on the billing page.
Live today: GitHub (App install with auto-linked PRs to stories, optional status auto-sync on open/merge), GitLab (OAuth connect with auto-linked merge requests, pipeline status on the story, optional status auto-sync on open/merge), Slack (one-click bot install, channel picker, per-category toggles for @mentions, story status changes, and sprint events), Jira Cloud (OAuth + webhook import), Claude Code, OpenAI Codex and Cursor (via our MCP server), plus HMAC-signed outbound webhooks and a public REST API on every paid plan. We don't list integrations that don't work yet.
No. You can run Stride alongside Jira and sync via our Jira Cloud OAuth + webhook import. When you're ready to consolidate, the same import brings epics, stories, subtasks, and comments over in one click. For anything else, CSV import covers stories, epics, and test cases. Most teams that fully migrate are done within a week.
Absolutely. Each module works independently. Start with Plan for sprint planning, or Verify for test management. As your needs grow, activate more modules; they share context automatically.
Credits are how Stride meters AI usage: every paid plan includes a monthly allowance (200 per seat on Starter, 1,000 per seat on Pro, 1,500 per seat on Enterprise), and each AI generation draws from it; heavier requests use more. A single drafted story is light, while turning a full PRD into a backlog is heavier, so an allowance covers a lot of everyday drafting before you ever top up. Credits are spent only on actual AI work, reset monthly on every plan (including annual), and one-time top-ups never expire.
We use multiple AI providers (Anthropic Claude, OpenAI) with strict data handling. Your project data is used only for your requests, never for training. On Enterprise, bringing your own inference keys and private-cloud deployment are both arranged through sales; neither is a self-serve setting in the product today, so treat them as contracted options rather than switches you can flip.
Most teams are productive within the first hour. The AI guides you through workflows: just describe what you need, and modules generate structured outputs. No training required.
Ship without the seams.
Spin up a workspace in under two minutes. Import a backlog from Jira or a CSV, or plug Claude Code straight into your MCP config. Watch the AI start connecting the dots before your first sprint ends.