Skip to content

A fixed curriculum is a compromise: too slow for the people who already know it, too fast for the people who do not, and exactly right for a learner who does not exist. Personalised learning paths spend each person's time on what they cannot yet do.

The problem

In any cohort of thirty sellers, perhaps six are excellent at discovery and poor at closing, eight are the reverse, and the rest are somewhere in between. A standard programme teaches all of them everything, which means most of the six weeks is spent on content that is either revision or noise. The strong learners get bored, the weak ones get left behind, and the evaluation reports an average that describes nobody.

How it works

Three inputs shape the path: a short diagnostic at the start, performance in practice and assessment as the programme runs, and role — because a dealer salesman and a telesales executive need different versions of the same skill. From these, each learner gets a queue: the practice scenario to run next, the micro-module to watch, the task to complete with their manager.

The queue updates continuously. A learner who fails the concession conversation three times gets more of it and a different explanation of it; one who handles it cleanly moves on to multi-stakeholder negotiation rather than repeating what they have shown they can do.

What changes at work

  • Time is bought back: strong performers finish the common material sooner and spend the remainder on harder scenarios.
  • Weaker performers stop drowning quietly — the system notices before the follow-up day, and the facilitator intervenes.
  • Coaching becomes specific: a manager receives "these two need work on discovery questions", not "the team attended".
  • Completion improves, because learners can see that what they are being asked to do is aimed at them.

How we prove it

We compare like with like: the spread of end-of-programme assessment scores under a fixed curriculum against a personalised one, and time-to-standard per learner. A successful path narrows the spread — more people reach the standard — rather than simply raising the average, which is what most training reports quietly measure.

What it cannot do

Personalisation cannot rescue a badly-diagnosed programme: if the competency framework describes the wrong skills, a path simply aims everyone accurately at the wrong target. It also needs organisational tolerance for people doing different things at different times, which some operations genuinely cannot accommodate. Where a plant needs an identical, auditable curriculum for compliance, we say so and run it that way.

Frequently asked

What is a personalised learning path?

A sequence of learning and practice that differs per person, built from what a diagnostic and their practice attempts show they cannot yet do. Two people in the same cohort may spend their six weeks on entirely different things and both finish at the same standard.

Is this just branching in an LMS?

No. Branching is a rule someone wrote in advance — if score under 60, show module B. A path adapts continuously from performance across assessments, practice attempts and, where available, business data, and it changes during the programme rather than at a fixed gate.

Does everybody still attend the workshop?

Usually yes — the classroom teaches the model and builds the cohort. Personalisation governs the six weeks after it, which is where the time is actually spent and where a fixed curriculum wastes most of it.

How do you avoid learners simply skipping the hard parts?

Paths are built on demonstrated capability, not preference. A learner cannot opt out of the objection-handling track by finding it uncomfortable; they leave it by performing in it. Minimum standards are set by the client and enforced.

What does it need from us?

A competency framework, or an hour with your subject-matter experts to build a simple one, and a willingness to let different people do different things — which is more often the real obstacle than any technology.

Tell us about the team you want to develop.

We come back within one working day with a first-cut approach — content, facilitation, technology and analytics in the right mix.

Request a proposal