ADDIE vs SAM: When to Use Each Instructional Design Model

A product course takes five months to build. The week it launches, the product ships a new release and half the screenshots are wrong. The subject matter expert sees the module for the first time at review, and the team goes back to the drawing board.

Plenty of instructional designers blame the model for that cycle. ADDIE and SAM do differ, though less than most comparisons suggest. The gap lies in how early a team learns whether a course works.

Both instructional design models sit inside the wider practice of instructional design for employee training.

Key takeaways

• ADDIE is a linear model with five phases: analysis, design, development, implementation, and evaluation. The Successive Approximation Model (SAM) is an iterative model built on rough prototypes and repeated review.
• ADDIE tends to expose a wrong assumption late in a project, while SAM exposes it within days, in the first prototype round.
• Choose by how often the content changes and what a miss costs.
• Many teams blend the two, with ADDIE planning up front and SAM prototyping during the build.
• Whichever model you use, pick a business metric during analysis or the Savvy Start, such as time to proficiency, and check it after launch.

What Is the Difference Between ADDIE and SAM?

ADDIE and SAM differ mostly in when feedback arrives. Under ADDIE's linear approach, the team signs off on each phase before starting the next, so problems surface late. SAM puts rough prototypes in front of SMEs and learners within days, while fixes still cost little.

Here is how the two compare:

Neither model decides what belongs on the screen. Each one manages the instructional design process around a course. The design itself still needs instructional strategies such as Gagné’s nine events of instruction or action mapping, and a new development model won't fix a weak design.

How the ADDIE Model Works

ADDIE is an acronym for analysis, design, development, implementation, and evaluation. The ADDIE model moves a project through those five phases in order. Each phase hands its output to the next, from a needs study to storyboards to a built course. Teams usually close every phase with a formal review.

• Analysis phase: define the performance problem, the audience, and what success looks like.
• Design phase: write learning objectives and plan structure and assessments.
• Development phase: build the course and its instructional materials.
• Implementation phase: release it into your learning environments and support the rollout.
• Evaluation phase: check whether it worked.

The Digital Learning Institute's ADDIE guide covers each phase in more depth.

The history of ADDIE instructional design dates back to 1975. That year, Florida State University built the first version for the US military, titled Interservice Procedures for Instructional Systems Development. It named its fifth phase "Control," and the ADDIE name arrived later.

On paper, the ADDIE framework checks its work at every step. In practice, most teams run it as a row of approval gates, which gives predictable scope and suits compliance content.

The cost is timing, because a wrong assumption can sit unnoticed until review and force rework across development, implementation, and evaluation.

How the SAM Model Works

The SAM (Successive Approximation Model) builds a course through rapid prototyping. The team sketches a rough version, shows it to SMEs and learners, improves it, and repeats until the design holds. Feedback starts in the first days of a project, which is why teams pick SAM.

Dr. Michael Allen of Allen Interactions created SAM, sometimes written as the Successive Approximations Model. He set it out in Leaving ADDIE for SAM (ASTD Press, 2012) with Richard Sites. SAM1 suits small projects, with three loops of evaluate, design, and develop. Larger builds use SAM2, which has three phases:

• Preparation, including the Savvy Start
• Iterative design, where the team reviews and refines prototypes
• Iterative development, ending in alpha, beta, and gold releases

The Savvy Start is usually a kickoff of one or two days where the team sketches the first prototypes. Allen's own paper on SAM adds three more guests to that room: the budget holder, the learners' supervisor, and a few future learners.

The payoff of SAM instructional design is early learner feedback. A mistake found in week one costs a sketch, while the same mistake found at launch costs a rebuilt module.

In return, SMEs must attend every round, and stakeholders must treat rough work as a first draft. Allen's guideline is that no content area gets more than three rounds until every type of content has had its three.

Allen still respects ADDIE, calling it "a logical and well-thought-out process" and "an easily defended process that covers all the bases."

ELM Learning's guide to SAM walks through each phase, and teams use course authoring software to turn prototypes into clickable modules.

How to Choose Between ADDIE and SAM

Choose by two things you already know: how often the content changes and what a miss costs. Stable content with a costly miss points to ADDIE, while changing content with a cheap miss points to SAM. When content changes often and a miss is costly, blend the two.

Many SAM vs ADDIE debates stall on features. Place your next project in one of these four boxes instead:

The grid also gives learning designers an answer when a manager asks why. For a product course:

"We're using SAM because the features change every quarter. A missed detail costs us a quick revision, not a compliance finding."

A compliance course flips the answer, since stable content and a costly miss make the ADDIE method the better fit.

Can You Combine ADDIE and SAM?

Yes, and many teams already do, often by using ADDIE planning for analysis and design, closed by one approval. After that, SAM prototype rounds carry the project through development, with a final approval at the gold release. You keep ADDIE's planning and SAM's early feedback.

The blend fails when a team adds sprints on top of ADDIE's approval gates. The team then runs both processes at once, and every approval covers a moving target.

Agree on one set of gates instead, usually one after planning and one at release, and choose the design approach that fits each stage.

A designer working with an AI co-authoring tool can turn an outline into a rough module quickly, which shortens the wait between the Savvy Start and the first review. That shortens the wait between the Savvy Start and the first review.

Where ADDIE and SAM Both End: Evaluation

Early feedback tells you whether a design holds up. Neither model, as usually run, tells you whether the course changed anything on the job. Both end in evaluation, which usually means completion rates and satisfaction scores, and neither number shows whether learners apply what they learned. The better test, whichever model you use, asks whether performance improved and whether a business metric moved.

Pick that metric during the analysis phase or the Savvy Start, such as time to proficiency or error rates, then check it after launch. Tracked over several releases, it turns evaluation into continuous improvement.

Intellum Evolve speeds up revision, and its Cloud Sync pushes each update straight to the LMS without a republish. Intellum's analytics and Data Connector send learning data into your own data warehouse, next to your business metrics. See how that supports employee performance programs.