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Frameworks · Learning & Capability

The frameworks behind training that sticks.

Most corporate AI training stops at Levels 1–2. The capability shift happens at 3 and 4.

Six frameworks behind training that transfers to the job. ADDIE is the design backbone. Kirkpatrick measures whether anything actually changed. The Anthropic 4D model specifies what AI fluency means in competency terms that survive a model upgrade. Nielsen's Four Metaphors shape the mental model the learner brings to the tool.

Underneath those four, 70-20-10 and Bloom's Taxonomy decide what mastery means for a given curriculum. 70-20-10 explains why workshops alone don't change behaviour. Bloom's specifies the cognitive depth a program targets — Apply-level mastery is a different curriculum than Evaluate-level.

← All frameworks (index) · Full reference (single page)

ADDIE

The five-phase backbone behind training that transfers to the job: Analyze, Design, Develop, Implement, Evaluate.

The reference instructional-design model. Five phases that move a curriculum from "what do learners need to do differently" to "did the design work, and how do we know." Used across corporate L&D, higher education, and government training worldwide.

Use case
Building training that transfers to practice. What separates programs is the rigor of the Analysis phase.

How Far West applies it
Every curriculum runs through ADDIE, starting with needs analysis on the team's real workflows, not a template.

td.org · ATD — The ADDIE Model

Kirkpatrick's Four Levels

Four levels for measuring whether training actually worked: Reaction, Learning, Behaviour, Results.

Donald Kirkpatrick's evaluation model. Level 1: Reaction (did they like it). Level 2: Learning (did they acquire it). Level 3: Behaviour (are they doing it on the job). Level 4: Results (did the business change). Most vendor training stops at Level 1–2 and declares success.

Use case
The shift that justifies the training investment happens at Levels 3 and 4, not 1 and 2.

How Far West applies it
Designs for all four levels; check-ins at weeks two, four, and eight measure behaviour change, not just reaction.

kirkpatrickpartners.com

Anthropic 4D AI Fluency Framework

Four atomic competencies that survive any model upgrade: Delegation, Description, Discernment, Diligence. (Anthropic)

A four-competency model published by Anthropic. Delegation — what to hand off. Description — specifying the task well. Discernment — judging the output. Diligence — owning what the AI produced.

Use case
Defining AI-fluent as judgment, not tool knowledge — competencies that survive every model change.

How Far West applies it
Anchors curriculum design under the tool-specific training, and drives branching in The Bearing diagnostic engine.

anthropic.com · AI Fluency Framework

Four Metaphors for Working with AI

Four ways to frame AI in a workflow: Intern, Coworker, Teacher, Coach. (Nielsen / UX Tigers)

A pedagogical posture model — each metaphor changes what you expect and how you verify. Intern — a first draft you check. Coworker — peer collaboration. Teacher — the AI explains, you learn. Coach — it prompts your thinking, you do the work.

Use case
Helping non-technical learners pick the right mental model — an intern's work needs review, a coach's prompts don't.

How Far West applies it
The framing layer in training: how to work with AI, taught before which tools to use.

uxtigers.com · Nielsen, 4 Metaphors for Working with AI

70-20-10 Model

Adults learn 70% from experience, 20% from peers and coaches, 10% from formal training.

A model of how adults actually develop capability, from McCall, Lombardo and Eichinger at the Center for Creative Leadership and popularized by Charles Jennings. 70% comes from experience and hard assignments, 20% from coaching and peer feedback, 10% from formal training. The exact split gets debated; the direction is well-evidenced — capability is built mostly in the work, not the classroom.

Use case
Makes the case for Far West's multi-service model: training is the 10%; Coaching, Advisory, and Integration cover the 20% and 70% where adoption sticks.

How Far West applies it
Reframes training as one part of a wider learning system — useful when prospects assume AI literacy equals training.

702010institute.com · Charles Jennings

Bloom's Taxonomy (Revised)

Six levels of cognitive depth for specifying what mastery actually means in a curriculum.

Anderson and Krathwohl's 2001 revision of Bloom's 1956 taxonomy. Six cognitive levels in ascending depth: Remember, Understand, Apply, Analyze, Evaluate, Create. The reference for specifying skill depth — a curriculum targeting Apply-level mastery is a different curriculum than one targeting Evaluate-level.

Use case
A vocabulary for the fluency level a program targets — workshop scope versus academy scope.

How Far West applies it
A depth specifier inside ADDIE: AI-fluent at Apply is a different target than at Evaluate.

cft.vanderbilt.edu — Bloom's Taxonomy

Where this work shows up

Learning-and-capability frameworks anchor every training and coaching engagement.

Where to start

If training is the immediate need, the discovery call scopes the curriculum against the team's actual workflows — not a catalog.