Ab Laravel Package

Product Decisions This Supports

• Build vs. buy the experimentation layer — narrowly. This package is a candidate dependency for one concrete mechanism: show variant A or B to a visitor, remember which one they saw, and record a conversion. It does not touch the expensive half of experimentation (significance testing, sample-size planning, guardrail metrics, dashboards), so adopting it shortens only the cheap part of the roadmap. The PM decision it informs is real but bounded: do we write our own assignment layer or take a pre-built one?
• Whether to commit to an experimentation cadence at all. Adopting it is a statement of intent to run a recurring stream of tests on copy, layout, onboarding, and feature exposure — not a one-off launch gimmick. If growth experimentation is a roadmap pillar, this is a cheap way to prove the workflow before funding tooling. If it isn't, the dependency is shelfware and should be declined on that basis alone. The most valuable output of a trial is often the answer to "does this team actually run experiments and act on the results?"
• Decoupling deploy from release. Experiment/variant gating is a stepping stone toward feature flags: ship dark, ramp exposure, kill a variant without a redeploy. That is a release-process decision the PM can own independently of any single experiment's result — and it is frequently worth more than the A/B tests themselves.
• Risk budget for a pre-1.0 dependency sitting in a measurement path. Maturity signals are weak: v0.2.0 (0.x, breaking changes permitted on minor bumps), zero dependents in the wild, and a release history whose only visible entry is a framework-compatibility line. Acceptable for a prototype; not acceptable for a number the company will cite in a board deck.
• A forced go/no-go on the legacy-framework question. The package's ceiling is Laravel 5, which is end-of-life. Adopting it implicitly argues for extending Laravel 5's life. A PM should force that trade-off into the open rather than let a testing tool quietly become a migration blocker.
• How much to trust the results. Sticky assignment means a broken cookie/session layer silently contaminates the dataset — visitors flip variants, conversion rates drift, and a roadmap call gets made on garbage. The honest posture at this maturity is "directional signals on low-stakes surfaces only," and that should be written down before the first experiment ships.

When to Consider This Package

Consider it only when all of the following hold:

• The application is genuinely pinned to Laravel 5.x on a deliberate, time-boxed basis — not "we'll get around to upgrading."
• The experiment surface is low blast radius: marketing copy, layout, button wording, an internal tool, or a prototype feature. A wrong answer costs a week, not a quarter.
• You will wrap it behind your own ExperimentService interface (variant(), track(), active()) so assignment and goal tracking are one adapter swap away from Laravel Pennant, Unleash, LaunchDarkly, or an in-house implementation.
• You can pin the exact 0.x version, vendor or fork if needed, and accept that nobody guarantees backwards compatibility.
• You already have an analytics destination. The package fires exposure/conversion events; the stats, dashboards, and significance testing are yours to build.
• Scope is one team, a handful of concurrent experiments, and no audience targeting, RBAC, approval workflow, or audit-trail requirements.

Look elsewhere when any of the following apply:

• You are on Laravel 6+ or a current LTS. The only evidence of framework support tops out at Laravel 5; assuming forward compatibility is an unsupported bet. Use Laravel Pennant (first-party feature flags) or a maintained experimentation service.
• The experiment touches pricing, checkout, auth, entitlements, or anything with revenue or compliance exposure. Pre-1.0 plus no security-response commitment is not a defensible posture there.
• You need statistical rigor — sequential testing, CUPED, guardrails, sample-ratio-mismatch alerts. This is a bucketing library, not an experimentation platform; do not let the name "A/B testing" set stakeholder expectations.
• Privacy matters. Assignment typically relies on cookies or local storage; under GDPR/CCPA that intersects consent, and this package gives you no consent story.
• Multiple teams need self-serve experiments, shared metric definitions, and a warehouse-native assignment log. That is a platform, not a package.
• Maintenance health is a hard requirement. Zero dependents and a changelog that only lists framework bumps are a signal, not a footnote.

How to Pitch It (Stakeholders)

For executives (one paragraph): We're evaluating a small open-source Laravel component that lets us show different versions of a page or feature to different visitors and measure which performs better. It solves the cheap half of experimentation — deciding who sees what, and remembering it — and none of the expensive half, which is the analytics and statistical confidence we'd still have to build or buy. The project is early-stage (pre-1.0, no meaningful adoption) and its newest release only adds support for an older version of Laravel, so my recommendation is a bounded trial: prototype or internal scope only, version-pinned, wrapped so it can be replaced in days. The upside is a few weeks of engineering avoided and a fast answer on whether experimentation cadence is worth funding. The downside is contained to the trial — provided we don't let it justify staying on an end-of-life framework. I'll come back with a build-vs-buy recommendation backed by two or three real experiments before anything touches a revenue surface.

For engineering leads (the operative detail): Treat v0.2.0 as a compatibility claim, not a capability one — the changelog says "Laravel 5 support" and nothing else, so verify the actual constraint in composer.json and the PHP floor before we scope anything. Because it's 0.x, a minor bump can legally break us: pin the exact version and add a dependency-review gate. Put it behind an adapter with a contract test covering "same visitor, same variant" so a swap is mechanical. The two things I want validated in the spike are the storage and consistency behaviour behind sticky assignment (cookie vs. session vs. database, its TTL, and what happens on cache flush, cookie expiry, or a new device) and the exact shape of the goal-tracking events — once per visitor, once per session, or once per event, and over what attribution window — because that is where the analytics integration cost actually lives. Also confirm the behavior when an experiment is paused, renamed, or deleted mid-flight, that bot traffic is excluded, and that determinism doesn't depend on mutable inputs like variant order or config edits. And note the implied baseline: a package that only just reached Laravel 5 carries dated assumptions around service providers, config publishing, and facades. If the spike works, the follow-up question is not "do we keep this package" but "do we still want to own this capability ourselves," and I expect the answer to favour Laravel Pennant or a thin in-house flag layer once we know the real requirements.