The Assumptions That Wreck Your Course Design

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Assumptions about your audience will cost you

Picture this. You build a course for a group of experienced sales reps. You skip the basics since they’re all experience and focus on advanced techniques to remove the content bloat and keep it lean.

Then the feedback comes back: learners were confused by terminology you thought was obvious. Turns out the team had a lot of newer hires nobody mentioned. You built for the wrong audience.

That scenario plays out constantly in e-learning. It’s not a failure of skill — it’s a failure of information. When you don’t know your learners well, you fill the gaps with assumptions. And assumptions have a way of being wrong at exactly the wrong moment.

Doing even a little audience analysis at the start saves a lot of rework at the end.

Common pitfalls in learner analysis

Most audience analysis mistakes fall into a few predictable patterns. Recognizing them is half the battle.

Assuming everyone has the same baseline. Your audience is almost never as uniform as your stakeholder thinks. A course built for “all customer service staff” might actually need to work for people who’ve been in the role for ten years and people who started last week. Those two groups need very different things.

Mistaking the client for the learner. The person who hired you knows what they want the course to cover. That’s not the same as knowing what the learner needs. Stakeholders often have blind spots about their own audience — what’s obvious to someone who’s been in a role for years is not obvious to someone new.

Skipping the “what they already know” question. One of the most useful things you can learn about your audience is what they already know and what they think they know. Learners who believe they already understand something will check out the moment your course confirms that belief. If they’re wrong about what they know, that’s a bigger problem.

Building for the average learner. There’s no such thing as an average learner. Designing for the middle often means designing for no one in particular.

What good learner analysis actually looks like

You don’t need to run a full research study. A few targeted conversations can tell you most of what you need to know. Talk to people who are actually doing the job, not just managing it. Ask what trips people up. Ask what knowledge gaps they notice in their colleagues. Ask what they wish someone had explained to them earlier.

Survey data helps, but it rarely tells the whole story. People answer surveys based on how they want to be seen, not always how things actually are. Combine survey data with direct conversations and you get a much cleaner picture.

Watch someone do the job if you can. Even 30 minutes of observation teaches you things that an hour of interviews won’t. You’ll see the workarounds people use, the steps they skip, the questions they ask out loud without realizing it.

Questions that actually help

A few questions worth asking before you start building:

• Who is the newest person likely to take this course?
• Who is the most experienced?
• What does the audience already know — and what do they think they know?
• What language and terminology does this group actually use on the job?
• What are the most common mistakes people make in this role?
• What’s the biggest frustration your audience has with their current training?

You won’t always get great answers to all of these. But asking them forces a conversation that wouldn’t happen otherwise. And that conversation usually surfaces something that changes the course.

Key takeaways

Before your next project kicks off, build audience analysis into your process — not as a checkbox, but as a real step. Talk to at least two or three people who are actually doing the job. Ask the uncomfortable questions about what they don’t know. The 30 minutes you spend there will save you hours of revision later and produce a course that actually connects with the people who have to take it.