Legacy Branch | T.vLearnDash.legacy

vLearnDash: my last major release.
This wasn’t just a product cycle — it was a stabilization branch.

Eighteen Months of alignment → acceleration → evolution — and the quiet work of refactoring how I lead.

Product Owner → System Restorer

I inherited a platform under strain.

We rethreaded the architecture, rebuilt velocity, and left LearnDash more stable than it had been in years — ready for the decade ahead. Grew a newly formed, globally distributed team from concept to cadence: trust, throughput, and shared language as infrastructure.

Commit Highlights

• feat: LearnDash 5.0 — stabilized the v2 REST API and prepped for agentic AI support (~95 % complete at transition).
• refactor: shifted to API-first architecture for integration resilience.
• embed: AI workflows across triage, docs, CX, and roadmap planning.
• align: engineering + design + CX + marketing under one loop.
• launch: DevRel initiative to rebuild trust with the developer ecosystem.
• reduce: support volume ↓ 30 % YoY through CX alignment.
• design: built sustainable UX workflow; shipped first modern interfaces (2 projects ~70 % complete at transition).

LearnDash proved strong teams ship strong systems. My proudest release wasn’t the roadmap — it was the refactor of the team itself.

Legacy Artifacts

Each artifact in T.vLearnDash.legacy is a snapshot of systems rebuilt under pressure.

⚙️Version: archived release // built with purpose, closed with gratitude

Final Commit → LearnDash Era

A reflection from the manager who helped me shape T.vLearnDash into its strongest build — and a reminder of the legacy I’ll always carry forward.

“I managed Taylor during her time as a Product Owner at LearnDash, and she was an exceptional member of our team.

What impressed me most about Taylor was her proactive approach to everything she touched. She didn’t wait for direction; she identified opportunities, developed strategies, and drove initiatives forward with remarkable independence. Taylor had an innate ability to see around corners and anticipate what the product and team would need next.

Taylor was also an early champion of AI within our organization. While many were still trying to understand the potential, she was already experimenting, implementing, and sharing insights with the team. Her willingness to dive deep into emerging technologies didn’t just improve her own work, it elevated our entire product team’s capabilities and mindset. She created a culture of learning and innovation that rippled across the organization.

Perhaps her greatest strength was the balancing act she performed daily: deeply understanding and addressing immediate customer needs while simultaneously keeping us focused on our longer-term product vision. She had this rare ability to be both tactical and strategic, ensuring we delivered value today without losing sight of where we needed to be tomorrow.

Any organization would be fortunate to have Taylor working in their product org.”

– on LinkedIn