In this episode of CELab – The Customer Education Lab, host Adam Avramescu sits down with Bessie Weiss, Senior Director of Customer Education at Webflow, to unpack what it really takes to evolve a beloved PLG education motion into an enterprise-ready engine. Bessie shares how she inherited the iconic Webflow University, the “don’t mess it up” mandate from leadership, and the practical tradeoffs her team makes every day between pixel-perfect production and keeping pace with a rapidly changing SaaS + AI product.

They dive into the org design behind Webflow’s modern education function—video production, instructional design, platform, certifications, and onboarding—and how those pieces work together to support both self-serve users and large enterprise accounts. From launching high-stakes certifications in under a year, to deciding when humor helps (or hurts) learning, to using AI for exam development and just‑in‑time learning, this episode is a masterclass for Customer Education and Customer Success leaders building programs that actually move product adoption and revenue.

Highlights:

• How Webflow University evolved from PLG top-of-funnel magnet to a dual PLG + enterprise education engine.
• The “make it better, but don’t mess it up” mandate when inheriting a beloved program and community.
• Balancing high production value vs. speed and scalability in a fast-changing SaaS + AI product.
• Where marketing ends and education begins—and how Webflow split teams and responsibilities.
• Structuring a modern education org: video, instructional design, platform/experience, certifications, onboarding.
• Why rigid instructional design can backfire—and how to flex based on audience (developers vs. designers vs. marketers).
• Designing high‑stakes, AI‑proctored certifications that are meaningful to partners and the ecosystem.
• Using AI as a tool for question authoring, psychometrics, and in‑product just‑in‑time learning—without replacing humans.
• Metrics that matter in PLG vs. enterprise: traffic and conversion vs. time‑to‑value, renewal, and expansion.
• The future: customers learning via agents and contextual AI, but still needing conceptual scaffolding and strategy.