Our story
Softshore KnitLab began as a studio where product thinking met textiles. We documented every swatch, tracked gauge drift, versioned patterns, and built repeatable systems. When friends asked how we learned so fast, we turned our process into a modular curriculum so professionals could master knitting with engineering-grade clarity.
Mission
Make knitting education precise, accessible, and tool-agnostic—so makers and product teams can ship reliable garments at any scale.
Approach
We teach principles first—fabric behavior, gauge analytics, and fit—then map them to tools such as hand needles, punchcard, and electronic machines.
Quality bar
Every module ends with a studio brief and rubric. You’ll submit artifacts that could ship in a production environment.
Team
Avery Bell — Program Director
Former knitwear lead at a boutique studio. Specializes in fabric analytics and reproducible fit across yarn systems.
Morgan Shaw — Machine Knitting Lead
Domestic and industrial machines, pattern conversion pipelines, and error-proofing for production.
Riley Quinn — Pattern Systems
Versioning strategies, grading logic, and human-readable documentation patterns.
Jordan Lee — Student Success
Onboarding, checkpoints, and capstone coaching to keep momentum strong and outcomes concrete.
What sets us apart
- Dashboard-style course cards: every lesson displays expected outcomes, inputs, and rubric criteria.
- Studio briefs aligned to production-grade deliverables for your portfolio.
- Tool-agnostic methods that map to any machine or needle system.
- Built-in progress metrics and repeatable swatch protocols.