Ship growth tests this Friday.
Engineers stay on roadmap.
Spar turns your test backlog into JS variants your growth team can preview, edit, and publish through Shopify's theme app extension. No PRs. No sprint negotiation. No release queue.
Self-serve on Shopify. Bring your GA4 and Clarity. Keep your experimentation stack.
You don't have an ideas problem. You have a shipping problem.
Most in-house growth teams cap out around two tests a month per engineer-share. The wall isn't strategy. It's the queue between the idea and the traffic split.
Every test is a Jira ticket the dev team can't get to.
Twenty ICE-scored ideas in the backlog. Sprint capacity for two. The roadmap wins every grooming meeting, and growth velocity is whatever's left over.
Test ideas die in Notion.
A scored sheet nobody actions. By the time engineering has bandwidth, the seasonal window closed and the hypothesis is stale. The backlog becomes a graveyard.
Friday is the recap deck, not the next test.
Half the day goes to stitching screenshots into slides for the exec readout. The other half goes to chasing engineers for status on tickets that haven't moved.
Six weeks through engineering. Four hours through Spar.
Both columns start with the same scored hypothesis. The left one waits on people. The right one waits on you.
Through engineering
Through the dev queue
Ticket written, ICE-scored
Week 1Hypothesis, success metric, MDE math in Jira or Linear.
Wait for design sprint
Week 1-2Designer pulled off roadmap to mock the variant.
Engineer assigned, PR opened
Week 2-3Pulled off a product sprint. Branch, scaffold, tests.
Code review, QA, merge
Week 3-4Reviewer, fix-ups, QA pass, conflict resolution.
Sits in release queue
Week 4-6Behind feature work the product team owns.
Live
Week 6Test exposure starts. Window may have already closed.
Through Spar
Through your growth team
Idea selected from Spar backlog
Hour 1Scored against your GA4 + Clarity anomalies.
Mockup generated
Hour 1-2Visual variant on top of the live page, in browser.
JS variant generated
Hour 2-3Production-safe snippet, previewable on the real page.
Strategist edits in browser
Hour 3Copy tweaks, selector fixes, side-by-side with control.
Published to traffic split
Hour 4Spar SDK or your existing experimentation platform.
No PR. Engineers stayed on the product roadmap. The growth team shipped the test on its own.
Left timeline is typical pre-Spar at a mid-size DTC brand sharing engineering with a product team. Right timeline is what we've seen run end-to-end for changes Spar ships as a JS variant through Shopify's theme app extension. Backend changes (checkout flow, subscription logic, new data models) still go through your engineers.
The honest line on what Spar ships.
Frontend variants (copy, layout, components, badges, gates) ship through Spar. Backend changes (checkout, subscription, new schemas) still belong to your engineers. Spar removes the dev queue from the work that doesn't need it.
Every capability pulls one bottleneck toward zero.
Spar isn't just an ideas engine. You have ideas. It's a shipping engine for the growth team that already runs the program.
Variants ship as JS, not PRs
Spar generates a production-safe snippet your growth team previews on the real page and publishes to a traffic split. The dev queue stops being the gate on growth velocity.
Test ideas grounded in GA4 and Clarity
Spar reads your real analytics: drop-off, rage clicks, dead clicks, scroll depth, conversion events. Backlog reflects what's actually broken, not whiteboard guesses.
One backlog, one queue, one report
Backlog, in-flight tests, learnings, and shipped variants live in one workspace. No reconciling Notion, Jira, GA4, and Slack to know where the program stands.
Frozen, shareable exec reports
Friday recap writes itself. Share-link snapshots your CEO opens in a browser: what ran, what won, what we learned, what's next. No deck building.
Your stack stays your stack.
Spar reads from the analytics you already trust and can route test exposure through the experimentation platform you already pay for. We replace the shipping bottleneck, not the rest of the stack.
Bring an existing experimentation platform and Spar feeds variants into it. Don't have one, the Spar SDK handles assignment, exposure, and reporting on its own.