Continuous-improvement learning solutions for products, operations, and AI-enabled teams. Industrial-engineering mindset. Measurable results.
We’re an instructional design studio led by an industrial engineer. We combine needs analysis, content architecture, and learning analytics with lean/continuous-improvement principles to reduce rework, speed up launches, and prove impact.
Job-task analyses, measurable objectives, storyboards, scenario design, and accessibility (WCAG).
Roadmaps, governance, SLAs, playbooks, and metrics for scale.
Task-based micro-modules, checklists, and just-in-time guides with analytics.
Dashboards, xAPI-friendly instrumentation, and impact studies.
Practical sessions on ID workflows, SME collaboration, and quality.
Impact: Reduced support tickets by ~30% within 90 days by deploying in-flow performance support and scenario practice.
What we did: Mapped top failure modes, designed branched scenarios and job aids, instrumented usage, and iterated via analytics.
Impact: Time-to-first-contribution cut from ~6 to ~3 weeks using competency maps and guided labs.
What we did: Defined competencies, built micro-modules and rubrics, measured progress with learning data.
Impact: Fewer reworks and consistent outputs after introducing conventions, checklists, and review gates.
What we did: Established definitions of done, review cadence, and lightweight governance with SME coaching.
Due to NDAs, client examples are anonymized or recreated with synthetic data. Private demos available under NDA.
Stakeholders, metrics, risks, and constraints (1–2 sessions).
Measurable outcomes, content architecture, prototypes, pilot plan.
Storyboards, builds, QA, accessibility, and SME reviews.
Pilots, analytics, iterations, and handoff with runbooks.
Practical frameworks and dashboards for L&D.
From objectives to branching with feedback loops.
Reduce rework with checklists, definitions of done, and review cadence.
Share your challenge and we’ll reply within 48 hours with scope, timeline, and an estimate.