A five-phase approach to designing, building, and delivering high-quality learning significantly faster, using smart automation, responsible AI, and a consistent documented standard across every project.
How the KN Method Works
The KN Method is KnowledgeNow eLearning Solutions' five-phase approach to delivering our learning design and development services. It is built on one principle: that smart automation and responsible AI produce better results when the fundamentals of learning design are resolved at the onset of a project, not patched in later. By separating the tasks that require instructional design expertise from those that are responsibly automated, KnowledgeNow delivers high-quality learning significantly faster, with fewer revision cycles, built-in accessibility compliance, and a consistent documented standard we provide to our clients.
Most eLearning problems are not technology problems, they are sequencing problems.
- A course gets built quickly, looks polished, and then fails to produce measurable outcomes because the instructional foundation was never properly established.
- Accessibility gets added as a remediation step after the content exists, generating a revision cycle that could have been avoided.
- Revision rounds multiply because structural problems surface too late in the build. The result is a project that takes longer, costs more, and delivers less than it should.
The KN Method addresses this pattern directly by making a distinction that most learning design solutions do not.
- AI and automation accelerate the tasks that do not require instructional design expertise.
- Human instructional designers make every decision that does.
This separation is what allows KnowledgeNow to deliver high-quality learning significantly faster without trading off the instructional and pedagogical rigour that determines quality learning. The method applies whether the engagement is a single custom course, a migration of hundreds of existing courses, or a full curriculum transformation. For projects that arrive mid-stream or involve inherited course libraries, it adapts to the stage at which we enter. What does not change is the standard.
KN Method Phases
Phase 1 — Analyze and Align
Every project begins with a structured analysis process designed to establish how the learning will be used, who it serves, and what outcomes it needs to produce. The questions we ask at this stage go beyond content and timelines. We establish our client's needs. This could include: supporting certification, generating revenue, creating course templates, or meeting regulatory or compliance requirements. Our team also confirms the language needs at this stage. We determine whether both English and French or additional languages are required through our translation partners. Our project approach follows these objectives before any design decisions are made.
This phase produces a shared definition of success that subsequent phases are held to. Getting this clarity upfront is one of the primary reasons KnowledgeNow projects require fewer revision rounds than engagements where scope and goals are defined after the build has begun.
Phase 2 — Establish the Learning Design Foundation
Before any content is built, KnowledgeNow uses its proprietary software to establish the instructional foundation of every course. Our software embeds evidence-based learning design principles, grounded in the ADDIE framework and informed by UDL principles, directly into our learning design workflow. The standards we adhere to are not a checklist applied at the end. They are built into our proprietary tools, which means they cannot be skipped, rushed, or inconsistently applied.
This phase focuses on learning objectives, content structure, assessment alignment, and delivery method before the course creation begins. Instructional design foundation problems identified at this stage cost much less than fixing them after courses have been built.
This phase provides much shorter course delivery timelines because the foundational elements are resolved before we apply automation, the build phase moves much faster, and the review phase produces fewer surprises.
For organizations working with existing course libraries: This phase includes a grading assessment. Each course is evaluated against our learning design framework and assigned a documented baseline grade with a prioritized set of next steps. This diagnostic service gives organizations a clear picture of where their library stands, what a consistent quality standard would require, and what a phased improvement plan would look like. It is available as a standalone service and as a natural entry point into a broader modernization engagement.
The Course Grading and Retrofit Service
For organizations that did not start with a structured design process, KnowledgeNow offers a standalone course grading and retrofit service. Our service applies the Phase 2 framework to all previous courses, evaluating each one against our learning design fundamentals. The outcome is a documented baseline grade for each course, along with the next steps to achieve that grade.
This service is useful to organizations that have inherited a course library following an LMS migration, post-secondary institutions standardizing course quality across faculties or departments, associations building scalable member education programs from existing materials, or regulated industry clients preparing training libraries for compliance audits.
The grading service does not require a full development engagement. It produces a prioritized action plan that an organization can execute internally, with KnowledgeNow, or with another provider.
Phase 3 — Build with Accessibility, Inclusion, and Language by Design
KnowledgeNow's accessibility and inclusion expertise are brought into the project at the design stage. This expertise includes WCAG Level 2.1 AA compliance rules and regulations, inclusive design principles, UDL, and copyright considerations, all considered in the course architecture from the beginning.
We don't treat accessibility as a remediation step at the end of a project. We build it in at this phase intentionally to eliminate a full course revision cycle after the fact. It's one of the reasons KnowledgeNow can deliver accessible courses faster than our competitors.
For federally regulated organizations in Canada, we align with the Accessible Canada Act or WCAG 2.1 AA requirements. For post-secondary institutions, we consider regulations such as Ontario's AODA and accessibility rules mandated by the institution. For associations and nonprofits, we review their learner's inclusive design standards and the expectations of their mission.
Our team develops courses in English and French, with both language capabilities fully in-house. For organizations requiring additional languages, we work with a trusted network of translation partners, integrating multilingual delivery into the same build process rather than treating it as a separate project. Confirming language requirements in Phase 1 means multilingual versions are produced significantly faster than engagements where translation is planned as an afterthought.
Phase 4 — Review, Adapt, and Stay Aligned
Structured checkpoints are scheduled at defined milestones throughout the project plan. These are working sessions, not strict sign-off gates. At each checkpoint, our work in progress is reviewed against the client goals established in Phase 1 and against KnowledgeNow's quality and consistency standards.
These checkpoints also serve as the point at which the project adapts. Scope changes, stakeholder feedback, and mid-project discoveries are addressed here rather than carried forward unresolved. Catching drift early at a scheduled checkpoint is substantially faster than resolving accumulated misalignment at the end of a build. For projects involving multiple courses or extended timelines, the checkpoint structure keeps the full library coherent and prevents individual courses from drifting from the agreed standard.
For clients in regulated industries, these reviews create an internal record of the design and quality decisions made throughout the project, supporting audit readiness. For higher education clients managing faculty input and institutional review processes, they provide a structured forum for subject matter expert collaboration without disrupting the build timeline.
Phase 5 — Deliver with Documented Outcomes
Before a project is delivered, KnowledgeNow provides a formal review against four criteria. Each one is assessed against our defined standard.
Phase 5 Delivery Criteria
- Accessibility compliance: Documented against WCAG 2.1 AA.
- Inclusive design: Assessed against UDL principles applied throughout the build.
- Instructional quality: Assessed against the learning design framework established in Phase 2.
- Cross-course consistency: Measured against the template and style decisions agreed in Phase 1.
This review gives client organizations a documented record of what was delivered, a quality baseline for future projects and updates, and evidence they can use internally with boards, funders, leadership teams, or regulatory bodies. For organizations where training completion is tied to licensing, certification, or compliance audit, this documentation is a functional part of the deliverable, not an administrative summary.
KnowledgeNow documents what it delivers and holds itself accountable to a defined standard at handoff. The design decisions made through the KN Method provide clients with the strongest possible foundation for measuring their outcomes downstream.
A Defining Principle of the KN Method
How KnowledgeNow Uses Automation Responsibly
Smart automation is central to how KnowledgeNow delivers learning faster. It is also the area where the most damage is done in the industry when it is applied without discipline.
KnowledgeNow operates under a clear rule.
We use automation to handle tasks that do not require instructional design expertise, while human IDs make every decision that does.
This is how we break down the tasks handled by automation vs live instructional designers.
- Repetitive course-building tasks
- Course data migration and archiving
- Course formatting
- Template application
- Accessibility checkpoint monitoring
- Learning objective design
- Content sequencing and structure
- Assessment design and alignment
- Learner experience decisions
- All qualitative quality judgments
- Writing revisions and styling
This same discipline applies to the work KnowledgeNow does on behalf of its clients. AI-generated content that has not been reviewed, shaped, and validated by a human instructional designer does not meet the KN Method standard. We apply these rules to our own work and advise our clients on applying them to theirs.
The KN Method does not guarantee a specific outcome. Learning outcomes depend on factors that extend well beyond the design and build phase, including how courses are deployed, how learners are supported, and how organizations act on what the training produces. What the method does guarantee is that every course KnowledgeNow delivers has been through a defined, documented process, that automation was applied where it belongs and human expertise where it matters, and that the client organization has the record to prove it.
To learn more about how the KN Method applies to your specific project type, book a discovery call or explore our learning design services.