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Training design / L&D build

ADDIE (Instructional Design)

ADDIE is the backbone method for building training that works: Analyze the performance gap, Design the learning solution, Develop the materials, Implement the programme, Evaluate against the original gap.

Its discipline is the front end — most bad training skipped the analysis.

Problem
Training design / L&D build
Altitude
Program
Effort to run
Moderate
Evidence base
Established

Theory & origin

ADDIE emerged from instructional-systems design work at Florida State University for the US military in the 1970s and became the default grammar of the L&D profession. The model’s power is its insistence that training is an intervention against a defined performance gap: analysis decides whether training is even the right tool, and evaluation closes the loop against that same gap. Agile critics call it waterfall — modern practice runs the phases iteratively (SAM, rapid prototyping) — but the phase logic survives every iteration fashion because the failure it prevents is timeless: building a beautiful course for a problem training cannot fix.

Explore the model

How a consultant runs it

  1. 01 Interrogate the request in Analysis: is the gap skill, or is it incentives, tooling, role design? Decline the course if training is the wrong tool.
  2. 02 Write measurable performance objectives before any content — "after this, learners can X to Y standard" — and get the sponsor to sign them.
  3. 03 Design assessment first, content second; if you cannot test it, you cannot claim it.
  4. 04 Prototype one module and pilot it with real learners before developing the full curriculum.
  5. 05 Evaluate against the original gap (Kirkpatrick levels 3-4), not completion rates, and report the loop back to the sponsor.

When to use

  1. 01 Building any training programme with real stakes — compliance, onboarding, capability shifts
  2. 02 Auditing an existing curriculum that consumes budget without moving performance
  3. 03 Forcing a sponsor conversation about whether the problem is trainable at all

When not to use

  1. 01 Rapidly changing content where iterative methods (SAM, continuous curation) beat a full cycle
  2. 02 When analysis shows the gap is incentives or process — no design phase fixes a non-training problem
  3. 03 Micro-learning or knowledge-base needs where the full ceremony outweighs the asset

Worked example

A logistics firm requests customer-service training after complaint volumes double. Analysis interviews find agents know exactly what to say — but the returns system takes eleven screens and customers boil over during the wait. The consultant returns a two-line training scope (new-hire onboarding only) and a process finding. The returns flow is rebuilt to three screens; complaints halve with two days of training instead of the requested twenty. ADDIE’s first phase saved the client from buying eighteen days of theatre.

Common pitfalls

  1. 01 Skipping Analysis and building a course for a problem training cannot fix
  2. 02 Objectives written as topics ("understand X") instead of observable performance
  3. 03 Evaluating with completion rates and satisfaction scores, then wondering why the budget gets cut
  4. 04 Running the phases as a rigid waterfall when the content demands iteration

Sample deliverable

One real engagement, end to end — watch the numbers travel from raw input, onto the chart, into the artifact.

Programme build — onboarding redesign

Input — raw data

  • Analyze — gap interviews30 h
  • Design — objectives & tests45 h
  • Develop — 6 modules120 h
  • Implement — 4 cohorts60 h
  • Evaluate — 90-day check25 h

Process — mapped

The performance gap sets the objectives; effort is planned per phase against them

OutputDeliverable

Programme build — onboarding redesign

  • Objectiveramp time 6 → 4 months
  • Pilotcohort 1, then revise module 3
  • Evaluatetime-to-quota at day 90

Sources

Next in the library Gallup Q12 Engagement Model