Most of what goes wrong in education content goes wrong before anything is written. A disconnected course, a skill check that measures the wrong thing, a demo no one in the field can use: each traces back to the same missing step. The people who built it never agreed, in writing, on what the learner should be able to do when it was finished.
I want to argue for a small, unglamorous idea that carries most of the weight in instructional design. Learning objectives are the backbone of everything an education or enablement team produces. Written well, they can accomplish two things at once. First, they make the teaching better. Second, they give the whole company a common language for saying what a learner, user or customer can do. That second is what connects education to product adoption, and it is the one usually missed.
Design from the end
Instructional design is the practice of building learning experiences so that a person can do something specific afterward. It begins from the need, not from the content. Backwards design makes that literal. You start with the end, the behaviour or skill you want to see. You decide how you will know the learner has it. Only then do you build the videos, labs and exercises that get them there.
The alternative is content-first design which is usually the default. You start from what you know, assemble it, and hope it lands. It feels productive because it fills a page quickly. Yet it produces exactly the failure it cannot see: a lesson that is complete and nonetheless teaches nothing in particular, because no one ever named the particular thing it was for.
One objective, everything downstream
A learning objective is the single input that drives everything that follows. It determines what a video teaches, how deep it goes, and what gets cut. It determines what a skill check measures and what counts as passing. Moreover, it determines how a seller, a solutions engineer or a support specialist uses the material in front of a customer, and what that person can honestly claim the learner can now do.
The flow runs one way: learning objectives into videos and labs, into skill checks, into the field. Break the first link and the rest of the chain does not know what it is pulling toward. This is why the objective is the place to be slow, and to be precise.
Written together
Given all this, learning objectives should not come from a curriculum silo. Different stakeholders bring something the others cannot supply alone. Product managers bring what the product is meant to enable and the roadmap that shapes it. Go-to-market teams bring what customers and the field actually need to do. Engineers bring accuracy, feasibility and the reality of how the thing is used. Curriculum brings the craft: writing the objective, aligning it to assessment, building the learning around it.
Shared objectives are a common language, and the consequences are concrete. Content stops being duplicated or contradicted across teams; it becomes reusable and comparable. A seller and a curriculum designer can point at the same sentence and mean the same thing. It is what makes education legible to the rest of the business.
Specific, measurable, actionable
When it comes to the details, learning objectives should be specific, measurable and actionable. An objective must be specific in the sense that one clear skill or behaviour is being taught, with no ambiguity about what is being learned. It must be measurable insofar as you can observe or assess whether the learner can do it, in a skill check or a lab outcome. Finally, a learning objective is actionable when it describes something the learner can do on the job, not something they merely know or understand.
A vague objective cannot be assessed, cannot drive content, and cannot be compared across teams. That is the difference between “understand indexing” and “create a compound index that supports a given query pattern.” The first is a hope. The second is a thing you can watch someone do, and therefore a thing you can teach toward and measure.
The payoff is adoption
What this buys the business matters: a shared objective language lets you map assessment results back to specific objectives, so you can see where customers and users actually have gaps in what they know. The same objective used everywhere produces data that is comparable across teams, content and audiences.
That is how education becomes a system that can report, with evidence, where a customer is stuck. Consider the anti-pattern I see most often: a team assembles a video, demo, or workshop by remixing pieces of other content. The result is not tied to any objective, so the outcomes cannot be traced back to what the learner actually knows. No gap can be identified, and no one can tell whether the content is working. The better pattern is quieter: start from the objective that already exists, or build a new one, then build against it.
Begin at the end
I began with the claim that most failures happen before anything is written, and I will end with a similar thought. Education does not earn influence over product adoption by producing more content; it earns it by producing a shared, measurable answer to a single question. What can the learner do? Write that sentence first, and write it with the people who will have to live with it. Everything else follows from the end.