Conducting Market Research For Online Course Topics: 9 Steps

Picking an online course topic can feel crazy stressful. You’re staring at ideas like, “Will anyone actually want this?” and “How do I make it different enough that people choose me?” Yeah… you’re not alone. Most course creators I’ve talked to hit the same wall at least once.

What helped me (and what I’m sharing here) is a simple market research process you can run before you build anything. It’s not about “vibes.” It’s about getting concrete answers: who the learners are, what they’re struggling with, what competitors already cover, and what you can realistically deliver better.

Below are 9 steps I use to go from “maybe this topic” to a course outline that matches real demand.

1. Determine Your Course Objectives (so your topic has a “shape”)

In my experience, the fastest way to get stuck is to start with a topic and “hope” it turns into a course. Instead, start with outcomes.

Skip the fuzzy version like “I want to teach marketing.” What you want is “after this course, students can do X, Y, and Z.” Those are your learning outcomes.

Try this prompt: “What should a student be able to perform, not just understand, after finishing?”

Example: instead of “learn coding,” go for something like: “Build a basic website using HTML and CSS, and deploy it to a live URL.”

Here’s the part most people miss: clear objectives make your research easier. When you know what success looks like, you can ask better questions (and you’ll know what data to look for later).

Also, yes, the market is growing. For example, one forecast from Global Market Insights projected the U.S. online education market value to reach about $686.9B by 2030. (Source: Global Market Insights, “Online Education Market,” forecast report, year varies by edition; double-check the exact edition you’re referencing.) You don’t need a giant market to win—you need a real problem and a clear learner outcome.

Quick scoring rubric (use this to pick between 2–3 topic ideas)

Before you commit, I like a simple 20-point rubric. Score each topic from 1–5 on each category:

• Demand (Are people searching/buying/asking for it?)
• Willingness-to-pay (Are there paid options with decent pricing?)
• Differentiation (Can you teach it better or cover what others skip?)
• Feasibility (Can you create it with your time/skills and access to resources?)

Example (filled-in): “Intro to Notion for Freelancers” vs “Advanced Notion Automation.”

• Demand: Intro (4) vs Advanced (3)
• Willingness-to-pay: Intro (4) vs Advanced (2)
• Differentiation: Intro (3) vs Advanced (4)
• Feasibility: Intro (5) vs Advanced (2)

Total: Intro = 16/20, Advanced = 11/20. That’s usually the moment where “topic vibes” becomes a decision.

2. Identify Your Target Audience (not “everyone,” please)

Let me be blunt: trying to make a course for everyone is how you end up with a course that no one feels like it was made for.

So I start by defining a specific learner segment. Ask:

• What’s their current skill level (beginner, intermediate, switching careers)?
• Why are they taking the course now (job change, promotion, need it for a project)?
• What constraints do they have today (time, budget, tools they already use)?
• What do they want to achieve in the next 30–90 days?

For example, in coding courses, the difference between “absolute beginner” and “experienced programmer learning a new language” changes everything: pacing, terminology, examples, and even how you structure assignments.

When you get audience clarity, your content stops sounding generic. Your examples start matching their reality. And your marketing becomes easier because your course promise is obvious.

3. Analyze Market Needs (confirm the problem, not just the topic)

Here’s what I’ve learned the hard way: liking an idea doesn’t mean anyone will pay for it.

Market need research is about validating the problem and the moment—not just whether the topic exists.

Where I check demand signals

• Course marketplaces: search for “beginner,” “for freelancers,” “step-by-step,” etc., and see what’s selling and what’s heavily reviewed.
• Community questions: Reddit threads, Quora answers, LinkedIn groups, Discord communities—where people complain, ask, and ask again.
• Search intent: use Google autocomplete, related searches, and tools like Google Trends to spot rising interest.

If you’re comparing platforms (for example, Teachable vs Thinkific), it can also help you understand what course styles are common and what creators emphasize. Here’s a resource you can use for platform context: Teachable vs Thinkific.

What to look for in community posts

I’m not just reading for “common questions.” I’m looking for patterns like:

• “I tried X, and it didn’t work because…”
• “Most courses skip the part where…”
• “I can’t figure out how to…”
• “What should I use if I only have 2 hours a week?”

Example: a mini case study from my workflow

Earlier this year, I tested an idea for a course called “Email Outreach for Freelancers.” I ran quick research with 23 people (mix of freelancers and small agency owners) over about a week using a short survey + 6 follow-up questions. The biggest “market need” wasn’t “how to write emails.” It was:

• How to choose the right target without wasting days
• How to personalize without doing “manual research for hours”
• What to do when replies are slow (follow-up timing and sequence)

That changed the course outline immediately. Instead of a writing-first course, I structured it around a simple targeting workflow + a follow-up sequence template. Did it sell? Yes—because the course promise now matched what people said they were stuck on.

4. Conduct Competitive Analysis (find the gaps you can own)

Competitive analysis isn’t just “see what they charge.” It’s a map of:

• what competitors teach (and in what order)
• what they don’t teach
• what students complain about
• what makes their approach feel different

I usually start with 5–8 competitors and aim to collect the same data from each one. Otherwise, you’ll end up with a pile of notes and no clarity.

Competitor gap matrix (copy this format)

Competitor

Note: Since HTML tables aren’t included in your allowed tag list, here’s a table-like checklist you can paste into Google Sheets.

• Course A: Pricing $79; claims “beginner-friendly”; content includes templates; reviews say “too theory heavy” and “no real targeting workflow.”
• Course B: Pricing $149; includes live examples; reviews say “overwhelming for beginners” and “no setup guide for sending tools.”
• Course C: Pricing $39; short course; reviews say “good basics but no follow-up system.”

Gap opportunities I’d write down:

• Targeting workflow is missing (or buried)
• Tool setup isn’t addressed early enough
• Follow-up timing and sequences aren’t taught clearly

Then I ask: Can I deliver a better targeting workflow in a beginner-friendly way? If yes, that’s a differentiation angle you can build a course around.

5. Choose Effective Research Methods (and what each one is good for)

If you only do surveys, you’ll miss the “why.” If you only do interviews, you’ll struggle to scale. I like mixing methods so you get both numbers and context.

My go-to research mix

• Quick survey: fast signal on pain points, confidence, and willingness-to-pay.
• 5–10 interviews (or short calls): deeper story, wording, and objections.
• Competitor + community review: proof of demand and repeated complaints.
• Trend/search signals: whether interest is rising, stable, or fading.

Example survey questions (10 you can use right away)

Here are questions I’ve used (and tweaked) because they produce usable course-planning data:

• What best describes you? (Student / Freelancer / Manager / Career changer / Other)
• How would you rate your current skill level in this topic? (1–5)
• How often do you run into this problem? (Daily / Weekly / Monthly / Rarely)
• What have you tried so far? (Courses / YouTube / Blogs / Coaching / Nothing yet)
• What part is the hardest right now? (Open text)
• Which outcome would make this course “worth it” for you? (Open text)
• How confident are you that you can achieve that outcome in the next 60–90 days? (1–5)
• If this course included hands-on templates, how likely would you be to enroll? (0–10)
• What price range feels reasonable? ($19–$49 / $50–$99 / $100–$199 / $200+)
• What’s your biggest objection or fear about taking a course like this? (Open text)

How I interpret responses (so it doesn’t become “data soup”)

I look for:

• Top pain points that show up in at least 20–30% of responses
• Wording learners use (that becomes your course language)
• Price signals (if people say “I’d pay $20” but competitors charge $149, you’ll need a strong differentiation or a different offer)

6. Design a Research Plan (so you actually finish)

A research plan doesn’t need to be fancy. It needs to be finishable.

When I don’t plan, I end up collecting screenshots and quotes and then… nothing. So I set a schedule and decide where each insight will go.

A simple 2-week research sprint

• Days 1–2: write objectives + draft survey (10 questions)
• Days 3–4: competitor scan (5–8 courses) + capture pricing, curriculum snippets, and review complaints
• Days 5–7: launch survey to your network (aim for 20–40 responses)
• Days 8–10: do 6–10 short interviews or voice notes (10–20 minutes each)
• Days 11–14: code themes + map insights to learning objectives

Where to organize your findings

I use a single folder structure (or Notion page) with:

• /Survey Responses
• /Interview Notes
• /Competitor Reviews
• /Themes (Coded)
• /Course Outline Draft

7. Collect and Analyze Data (turn feedback into themes)

Collecting data can be easy. The hard part is analysis. But you don’t need to be a statistician.

What you need is a repeatable way to pull meaning out of the responses.

How to code themes (a practical scheme)

I use a simple codebook. As I read responses, I tag them with categories like:

• PAIN: what’s frustrating or confusing?
• SKIP: what do other courses fail to cover?
• SUCCESS: what does “good” look like?
• SKILL GAP: what knowledge is missing?
• FORMAT: what learning style helps? (templates, examples, walkthroughs)
• OBJECTION: why won’t they enroll?

Then I count how often each theme appears. Not to be perfect—just to see what’s dominant.

Example coding result (anonymized)

In one of my tests for a “Notion for Freelancers” course, 26 survey responses produced the following rough pattern:

• PAIN: “blank page / not knowing what to build” (11 responses)
• SKIP: “templates don’t match my workflow” (9 responses)
• SUCCESS: “a system I can maintain without thinking” (8 responses)
• FORMAT: “step-by-step setup walkthrough” (12 responses)

That tells me what to build: a starter system + customization steps + ongoing maintenance habits.

Translate confusion into content decisions

If multiple people say, “I don’t get what X means,” you don’t just add a definition. You build a lesson that includes:

• a plain-English explanation
• a real example
• a short practice exercise
• a quick check (quiz or assignment rubric)

8. Apply Research Insights to Course Development (this is where most people stop)

Okay—this is the step where research becomes a real course. Not a nice spreadsheet. Not a “we learned a lot” document. A course.

From themes to learning objectives (example)

Let’s say your top themes are “setup confusion,” “missing templates,” and “no follow-up workflow.” Here’s how that becomes objectives:

• Objective 1: Students will set up the course’s core workflow in under 30 minutes using provided templates.
• Objective 2: Students will customize the template to match their specific scenario (examples included).
• Objective 3: Students will create a follow-up sequence and measure results using a simple tracking sheet.

From objectives to lesson plan (example mini-outline)

• Lesson 1: Quick-start demo + “build along” activity (template setup)
• Lesson 2: Common mistakes + troubleshooting checklist
• Lesson 3: Customize for 3 common learner scenarios (beginner / intermediate / busy schedule)
• Lesson 4: Practice project (submit a real workflow)
• Lesson 5: Assessment + feedback loop (quiz + rubric)

Include resources people asked for

If learners keep saying “I want templates” or “I need examples,” don’t just mention templates in the course description. Put them in the course.

In my experience, offering a downloadable resource like a workbook, checklist, or step-by-step “starter system” is one of the easiest ways to increase perceived value—especially for beginners.

And if you’re unsure about structuring lessons, you can use this guide on how to create a course syllabus to help you turn objectives into a clean, logical sequence.

9. Monitor and Adapt Post-Launch (because reality is the final test)

Your course isn’t done when it goes live. That’s when you learn how learners actually behave.

What I track in the first 14–30 days

• Enrollment → activation: did they start the first module?
• Completion rate: where do people drop off?
• Quiz/assignment performance: which concepts are still confusing?
• Support tickets / comments: what questions repeat?
• Refund reasons (if you offer refunds): what’s the real mismatch?

Example KPI dashboard (simple version)

• Module 1: 82% started, 61% completed
• Module 2: 61% started, 44% completed
• Quiz avg: 68% (Lesson 2.1 is lowest)
• Top question: “I don’t understand the setup step” (12 mentions)

Now you know what to fix. In this case, I’d add a short troubleshooting video, a step-by-step screenshot guide, and a “common mistakes” section right after the setup lesson.

Also, don’t ignore the broader trend: forecasts commonly estimate tens of millions of learners enrolling in online courses in coming years. For example, one widely cited figure is 57 million expected enrollments by 2027, but you should treat it as a directional estimate and verify the publisher/report for your exact context. The bigger point is simple: competition is rising, so you have to keep improving your course based on real learner data.

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