sst/survey-lib-bundle
SST Survey Lib Bundle is a PHP/Symfony package that brings reusable survey components into your application, offering structures for surveys, questions, and responses so teams can add survey creation and management features without building the core survey logic from scratch.
NOASSERTION), and low overall score signal early-stage or uncertain maintenance. That supports a decision to avoid it for customer-facing or compliance-sensitive survey workflows without legal and maintenance review.Consider it when:
Look elsewhere when:
NOASSERTION is a blocker for many commercial uses.Executive summary: Survey and feedback capabilities are a plausible roadmap opportunity, but sst/survey-lib-bundle is not a ready-to-adopt Laravel package. It is a Symfony bundle with very low visible adoption, no dependents, and an unclear license. Recommendation: do not commit it to the product roadmap as a dependency; run a short evaluation only if survey functionality is being prioritized, and compare it against building a small Laravel-native module or buying an established survey SaaS.
For engineering: Treat this as a reference implementation, not a library to install. The Symfony bundle introduces framework mismatch, unclear licensing, and maintenance risk. Any reuse would require a port or adapter, plus ownership of security, upgrades, and testing. A time-boxed spike could extract useful domain ideas, but production adoption needs legal review and an explicit maintenance owner.
For product: Use the package to sharpen requirements—survey definitions, response storage, rendering, reporting, and permissions—but validate demand before building. The high opportunity signal is not a substitute for customer evidence. If surveys are core, define a narrow MVP and assess build vs. buy; if surveys are peripheral, prefer a proven SaaS or simple internal form workflow.
Ask: Approve a small discovery spike only if survey functionality is on the near-term roadmap; otherwise defer. Gate any further work on license clarification, stack fit, and a clear build-vs-buy comparison.
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