Initiatives, Not Courses: A New Organizational Model for People Development
Initiatives, not courses, are the right unit for enterprise people development. Here's what an initiative is, why it works, and why it's only now possible.
Philipp Heideker
Co-Founder & CEO
Last updated: April 13, 2026
TL;DR: The organizational unit for enterprise people development should be the initiative, not the course. Initiatives are outcome-shaped — defined by a business goal, the behaviors required to achieve it, the practice needed to build those behaviors, and the evaluation that confirms the change. Courses are content-shaped, a relic of LMS architecture built for compliance training. AI-native coaching platforms make the shift possible by removing the content-delivery bottleneck and enabling scaled, scorecard-based practice at the point of work.
The organizational unit for enterprise people development should be the initiative, not the course. An initiative is a manager-defined people development goal, tied to a business outcome, executed through structured practice and measured against observable behaviors. A course is a container for content. One is shaped by how work actually gets done; the other is shaped by how content was historically delivered.
This distinction sounds semantic until you look at what it changes. When L&D thinks in courses, the unit of planning is "seat-hours of training." When an organization thinks in initiatives, the unit of planning is "behavioral change aligned to a revenue, retention, or risk outcome." The first produces training budgets that can't be tied back to results. The second produces development programs that can.
This piece makes the case for the shift, defines what an initiative actually is, and explains why the AI-native coaching architecture is what makes initiative-driven development operationally possible — not just philosophically preferable.
Why do organizations still buy training in courses?
Organizations still buy training in courses because the dominant software category in L&D — the Learning Management System — was architected in the early 2000s to solve a compliance problem, and the buying, planning and reporting patterns of L&D teams calcified around that architecture. Courses were the atomic unit because a compliance auditor needed to verify that "Employee X completed Module Y by Date Z." Everything downstream — procurement, vendor contracts, reporting dashboards, HR budgets — reshaped itself around that unit.
This was fine for mandatory training. Anti-harassment modules, GDPR awareness, information security basics: the goal is documented completion, not behavior change. The LMS did its job.
The problem arrived when the same architecture was pointed at sales enablement, leadership development, and customer success coaching. These are not compliance problems. They are behavior-change problems. And the course unit fails them for three reasons.
First, courses optimize for content, not practice. A typical sales onboarding course contains 6–12 hours of videos, slides, and quizzes. The learner finishes the course having watched others sell. The only reps who build selling ability from courses are the ones who practice on live deals — which means the training cost was paid to essentially watch content.
Second, courses are measured by completion, not outcome. LMS dashboards show "% completed," not "% who changed behavior in observable ways." Brandon Hall Group estimates that less than 20% of sales-training content is retained behaviorally after 90 days. This isn't a learner problem. It's a measurement problem — courses were never instrumented for behavior.
Third, courses force an artificial calendar on development. Onboarding cohorts, quarterly training cycles, annual compliance pushes. Real skill gaps don't appear on a calendar. A CSM finds out they can't handle a renewal objection the day before a renewal call, not in Q2 planning.
What is an initiative?
An initiative is a manager-defined people development goal, executed as a structured program of practice and evaluation against a specific business outcome. It is defined by four elements, in this order:
- Outcome: The business result the initiative exists to influence. "Reduce discovery-to-demo conversion lag by 25% in the DACH mid-market segment" is an outcome. "Improve sales skills" is not.
- Behaviors: The observable actions that cause the outcome. In the example above: running structured discovery, validating top-3 pain points with follow-up questions, quantifying business impact, proposing a concrete next step. Each behavior must be describable in a way that two observers would agree whether it happened.
- Practice: The volume and specificity of repetitions required to build the behavior. This is where AI-native coaching platforms change the math — practice volume that was previously impossible to deliver is now trivial.
- Evaluation: The scorecard that determines whether the behavior is present at the required level. Scorecard criteria are explicit, observable, and scored against examples (100 = excellent, 50 = adequate, 0 = absent).
The initiative owner is usually a line manager, not an L&D professional. This is intentional. The person accountable for the outcome is best positioned to define which behaviors matter. L&D's role shifts from producing content to making the initiative architecture — scorecards, practice environments, evaluation frameworks — available and usable.
How does an initiative differ from a course in practice?
The following table captures the architectural difference:
| Dimension | Course | Initiative |
|---|---|---|
| Organizing unit | Content module | Business outcome |
| Owner | L&D team | Line manager |
| Primary input | Recorded/written material | Defined behaviors and scorecard |
| Primary learner activity | Consumption | Practice |
| Success metric | Completion % | Behavioral change + outcome impact |
| Duration | Fixed (e.g., 6 hours) | Variable (until scorecard threshold met) |
| Evaluation method | Post-module quiz | Scorecard applied to observed practice |
| Scalability | High for content, low for practice | High for both (AI-native) |
| Personalization | Minimal | Per-learner adaptive path |
The course model treats learners as interchangeable recipients of a fixed input. The initiative model treats learners as individuals building toward an observable behavioral standard, with practice volumes and pacing adapted to their current level.
Neither model is "better" in absolute terms. Courses remain the right unit for knowledge transfer with a binary completion requirement — regulatory training, product launches, policy updates. Initiatives are the right unit when the goal is behavior change tied to business outcomes. Most of what enterprise L&D spends its money on today sits in the second category, but is procured and measured as if it were the first.
Why is initiative-driven development only now operationally possible?
Initiative-driven development was philosophically obvious for decades but operationally blocked by the economics of practice — providing every learner with enough realistic, evaluated practice was prohibitively expensive until AI-native coaching platforms collapsed the cost. The bottleneck wasn't L&D imagination; it was the cost of a qualified coach, a realistic practice partner, and an evaluator, per learner, at volume.
Consider the math. A sales organization of 300 reps, if it wanted every rep to practice discovery once per week against a realistic buyer persona with feedback against a scorecard, would need roughly 300 hours of qualified coach time per week. Even at moderate coach rates, that's several million euros per year — for one initiative, for one skill, for one team. Most organizations simply didn't attempt it. They bought content instead, which is cheaper per seat and requires no ongoing coach capacity.
AI-native coaching platforms change this cost structure by three orders of magnitude. A practice session with a realistic buyer persona, followed by scorecard-based feedback on a 10-minute transcript, costs a few dollars in API calls — not a few hundred dollars in coach time. At that unit economics, the constraint on practice volume becomes learner time, not practice cost. And learner time is finite but abundant compared to what was previously affordable.
Three capabilities had to arrive for this to be real:
- Realistic conversational simulation. Language models now sustain multi-turn, personality-consistent conversations with a defined buyer profile well enough that practice sessions have diagnostic value.
- Structured evaluation. With a well-defined scorecard, an AI evaluator can score observable criteria with inter-rater agreement comparable to trained human coaches. Unstructured "give me feedback on this call" is still hard. Structured scorecard evaluation is solved.
- Initiative-shaped software. Coaching platforms that are built around initiatives, scorecards, and practice — not around content libraries — remove the LMS-era gravity that pulls organizations back toward course thinking.
Point 3 is where the choice of platform matters. Most vendors have bolted AI features onto an LMS foundation, which produces better courses, not initiatives. We wrote about this distinction in AI-Native vs. AI-Washed.
What does an initiative-driven L&D function look like?
An L&D function organized around initiatives looks different from an L&D function organized around courses in four visible ways.
The conversation with line managers is about outcomes, not content. Instead of "we need a sales training program for new hires," the conversation is "what business outcome is this initiative driving, what behaviors produce that outcome, and what practice volume do your people need." L&D becomes a thinking partner on the architecture of development, not a procurement function for content.
The procurement stack changes. Course libraries become a smaller line item. Scorecard design, initiative tooling, and AI-native coaching capacity become the larger line items. Per-seat licenses stop making sense because usage is variable by initiative and by learner — this is one of the reasons we argue against per-seat pricing in Why We Don't Charge Per Seat.
The measurement dashboard changes. "Courses completed" disappears. "Initiatives active," "scorecard progression by learner," "behaviors demonstrated in observed interactions," and "outcome movement correlated with initiative" take its place.
The L&D team's skills shift. Less instructional design, more behavior specification, scorecard calibration, and initiative governance. Closer to operations than to media production.
What initiatives and scorecards don't solve
Initiatives are not a universal replacement for courses, and scorecard-based practice is not a substitute for human judgment about complex deal strategy, cross-functional politics, or the emotional craft of customer relationships. Anyone selling that claim is overreaching.
Three categories of development sit outside what the initiative-plus-AI-practice model handles well:
- Executive judgment in ambiguous contexts. The question "should we walk away from this account" is not a scorecard question.
- Cross-functional relationship architecture. How a CSM navigates a customer's internal politics over twelve months is not reducible to per-call scoring.
- Genuine strategic creativity. New category creation, product repositioning, value-proposition rewrites. These require human synthesis, not pattern practice.
The honest position is: roughly 60–70% of what organizations today buy as enterprise training is pattern-practice work that initiatives plus AI-native coaching handle better and cheaper. The remaining 30–40% is human judgment work that deserves different tooling — and, often, different people.
FAQ
What is initiative-based coaching? Initiative-based coaching is an approach to enterprise people development in which the organizing unit is a business-outcome-linked initiative — defined by an outcome, a set of observable behaviors, a practice volume, and a scorecard-based evaluation — rather than a fixed-duration course. Initiatives are typically owned by a line manager and executed through AI-native coaching platforms that can provide the practice volumes required.
Is an initiative the same as a learning path? No. A learning path is still content-shaped — a sequence of courses a learner is expected to complete. An initiative is outcome-shaped — a practice program a learner completes until their scorecard meets a defined threshold. Learning paths end at completion; initiatives end at behavior change.
Do initiatives replace the LMS? Not entirely. LMS platforms remain the right tool for compliance training and knowledge transfer with binary completion requirements. For behavior-change work tied to business outcomes — sales coaching, leadership development, CSM enablement — initiatives executed on AI-native coaching platforms replace what an LMS was never designed to do well.
Who owns an initiative inside an organization? The line manager accountable for the business outcome owns the initiative. L&D owns the initiative architecture — scorecards, practice tooling, evaluation frameworks, governance. This shift moves L&D from content production to enabling a scalable development infrastructure.
How do you measure the success of an initiative? On three levels: (1) scorecard progression per learner over time, (2) demonstrated behavior change in observed interactions (live calls, customer meetings), and (3) correlation with the business outcome the initiative was defined against. Courses are typically measured only on completion; initiatives are measured on behavior and outcome.