The Revenue AI Report

Framework · Adoption ladder

LOPAFT

LOPAFT is a six-rung adoption ladder used by The Revenue AI Report to diagnose why an AI rollout did not change behavior. The rungs are Learn, Observe, Practice, Apply, Feedback, Teach. Each rung has a deliverable and a specific fix. Most failed rollouts stall between Practice and Apply, or lose Feedback, not Learn.

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What it is

LOPAFT was built for sales enablement over a decade in the field. It is now the default adoption diagnostic for AI rollouts, because the failure mode is identical. A team gets handed a tool, given a three-day event, and expected to be productive by Friday.

The ladder is a diagnostic, not a curriculum. You do not need a bigger training event. You need to know which rung the team is stuck on.

The six rungs

L

Learn

Someone explains it. First exposure to the content. Training deck, SOP, or launch email.

O

Observe

Watch what good looks like and what bad looks like. Without both, a person cannot tell where they stand. Examples library, recorded calls, pass and fail samples.

P

Practice

A safe place to try, fail, and try again. No stakes, no judgment, no live customer. Sandbox, role play, dry runs.

A

Apply

Real work, real deals, real risk. The first live rep.

F

Feedback

An honest read on the work, measured against a standard. Not how did it go. A measurement.

T

Teach

Teach it to someone else. This is the rung that locks it in. If a person can teach it, they understand it.

The visuals

Figure

The LOPAFT ladder

Most failed AI rollouts stall on Practice, Apply, or Feedback.

  1. TTeachPeer teaching session
  2. FFeedbackCoaching against a standard · common stall point
  3. AApplyLive deal · common stall point
  4. PPracticeSandbox and role play · common stall point
  5. OObserveExamples library
  6. LLearnTraining deck or SOP

Figure

The rollout post-mortem card

Any rung you cannot answer yes to is the cause, not the symptom.

  • LLearnDid we explain it once, clearly, in writing?
  • OObserveDid people see both a good and a bad example?
  • PPracticeDid people get reps with no customer on the line?
  • AApplyDid the work move into live deals with a named owner?
  • FFeedbackWas the work measured against a written standard?
  • TTeachCan someone on the team teach it to the next hire?

Score: ___ / 6

What you get out of it

Run LOPAFT and you get a diagnostic that names the rung your team is stuck on. Every rung has a specific fix. No more running another expensive event to solve a Practice problem or a Feedback problem.

  • Behavior change on live deals in 60 to 90 days instead of a training event and a hope.
  • A repeatable adoption motion you can run for every new tool, method, or AI capability.
  • A defensible answer when the CEO or CRO asks why the rollout is not working.

The mistakes it prevents

The three-day-event trap
A rollout treated as one training event with a refresher a month later. That is where learning happens, not where behavior changes.
Unsafe feedback
Group feedback in front of peers kills adoption. Feedback has to be safe before it can be honest.
Skipping Practice
Handing a rep a new tool and pointing them at a live customer burns the deal and the rep's trust in the tool.
Skipping Feedback
Without measurement against a standard, the operator does not know if the work got better.
Skipping Teach
Untaught skill stays fragile. When the person leaves the role, the organization loses the capability.

How it is used here

Run LOPAFT on any failed AI rollout as a post-mortem. In most failed cases the problem sits between Practice and Apply, because nobody got safe reps. In the rest, Feedback is missing, because nobody told the operator whether the work was any good.

Most teams use training as the only thing that they do. The initial rollout of a three-day event. Then another thing a month later. That's not where behavior changes. That's where learning happens.

Jonathan Kvarfordt, Selling Made Simple podcast

When performance is measured and reported back on, that's when behavior changes.

Thomas Monson, cited by Jonathan Kvarfordt on the same episode

Terms used here are defined in the glossary and explained in plain language in the AI and Revenue Dictionary.

Apply it with a skill

Each skill turns this framework into a job you can finish. Copy the quick prompt for one task, or download the SKILL.md file, a reusable set of instructions for an AI assistant, for repeatable work.

All skills and prompts →

Common questions

What does LOPAFT stand for?
Learn, Observe, Practice, Apply, Feedback, Teach. Six rungs of adoption, in order. Each rung has a deliverable, and skipping one is the usual cause of a rollout that does not stick.
Why use an enablement ladder for an AI rollout?
The failure mode is the same. A tool is announced, a training is held, and behavior is expected to change without safe reps or measured feedback. LOPAFT names which rung is missing so the fix is specific instead of another event.
Where do most teams stall?
Between Practice and Apply, because nobody got safe reps, or at Feedback, because nobody measured the work against a standard.

Cite this framework

Kvarfordt, Jonathan. "LOPAFT." The Revenue AI Report. https://www.therevenueaireport.com/frameworks/lopaft

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