Market research for higher education: choose the course to develop

A prospective learner welcomes an applied data-analysis course because they want to use the skills at work. Another welcomes the same description because they expect credit toward a longer qualification. Those reactions point toward different courses. A stronger headline cannot decide which one your institution should develop.

For university and further-education program teams, market research for higher education should connect the learner's intended next step with the academic offer being considered. The useful recommendation concerns what to develop: a standalone course, a module on a supplied award pathway, a revised proposition or neither.

Start with what successful study would mean to the learner

Consider a hypothetical university choosing between two adult-learning offers in applied data analysis. The courses and learner accounts in this example are illustrative.

The standalone proposal focuses on preparing a workplace dataset, carrying out an analysis and explaining the result. Work-based exercises lead to its defined completion assessment. The university supplies the curriculum, entry requirements and the recognition it would actually issue on completion.

The alternative is an introductory module on an institution-supplied, academically approved longer-award pathway. Its academic owner specifies the foundations taught, required prior learning, assessed work and the award or progression conditions that apply. The standalone completion assessment cannot be presumed equivalent to that assessed academic work. The module is a different learning offer, with a different next step.

Leena wants to interpret her team's performance records more confidently. Jon wants assessed study that meets the stated conditions for his next academic step. Both might respond positively to “applied data analysis.” Their explanations determine what that interest means for development.

If the standalone offer does not provide the academic route Jon requires, more enthusiasm for its practical exercises leaves his need unresolved. If Leena needs particular workplace practice that the introductory module does not cover, its place on an award pathway does not supply that missing content. Jon must also meet the module's supplied prerequisites; his intended progression does not establish eligibility.

Our customer needs analysis guide explains how to separate an intended outcome from a requested feature. Here, the consequence reaches into the curriculum and assessment structure. The team needs to choose which learning offer to build before defending a favored course label.

Commission the missing understanding before another interest score

DJS Research's education offering describes new-course feasibility and proposition development for universities and further-education providers. For this decision, a useful commission must connect the learner's next step with the proposed academic structure.

Suppose the university's current evidence consists mainly of broad subject interest and favorable brand reactions. Begin by investigating what relevant prospective learners have tried to achieve through recent study choices. What did they need to learn or qualify for? What alternatives did they consider? Which requirement made one route useful and another unsuitable?

Keep each answer within its source. Learners can explain their intended use, choices and expectations. Academic owners establish prerequisites, assessment, award and progression facts. If an employer's recognition or support is consequential, appropriate employer evidence must establish that condition. An applicant's report of promised funding remains their account until supported; a modeled employer cannot commit it.

That work should change the development brief. A requirement for assessed progression may support investigating the supplied module. An immediate work task may justify developing the standalone curriculum or revising its exercises. A need neither proposition can serve is useful evidence too. The return should identify the academic or learner question still open, rather than turn every positive subject response into demand for either course.

Compare the course people have actually pictured

Once those conditions are sufficiently understood, compare complete propositions. Show what each course covers, who can enter, what the learner must do for assessment and what successful completion actually permits. Include the participation commitments and terms needed to judge the offer. Comparable detail helps prevent a polished pathway description from winning against an underspecified standalone proposal.

Our concept testing guide covers the wider comparison design. For this course decision, inspect the explanation behind a favorable response. What does the learner expect to study, demonstrate and receive? Which supplied feature makes the route worth considering?

If Jon favors the standalone course because he has imagined credit on the longer pathway, that response does not select the proposed standalone offer. Correct the misunderstanding and investigate the accurately understood proposition. If Leena understands the module but wants more practice on the workplace task, another explanation of the award may leave the curriculum question untouched.

Retain other institutions, existing workplace learning, self-directed study and postponement where they are credible alternatives. A preference between the university's two proposals does not establish that either deserves the next development commitment.

Let adequate evidence make the commission smaller

Now change the starting evidence. The university already has current, adequate research on the intended learners, and its academic owners have established a feasible approved program with clear entry and progression conditions. Repeating broad course discovery would add work without resolving the remaining decision.

Compare the complete alternatives if the development choice is still open. If the program is fixed and the uncertainty is what applicants understand, use our message testing guide to investigate the explanation. A learner who pictures automatic progression needs a clearer account of the actual conditions; that does not necessarily call for a different curriculum.

Choose the response source for the unresolved claim. Our synthetic versus human respondents guide explains that handoff. Grounded modeled comparisons can explore interpretations and preferences. Actual admission, successful assessment, completion, learning in use and employer recognition require their own appropriate evidence. None follows from a favorable course response.

Ask for a development direction with its conditions attached

The recommendation should explain which learner situation supports which course structure and why. It might favor further development of the standalone offer for a specified work task, the supplied module for an evidenced academic next step, or a revision before either progresses. These are possible recommendations from the illustrative brief, not reported findings.

Keep the audience, complete proposition and supporting source beside each comparison. An unresolved prerequisite or assumed award relationship belongs beside the recommendation. The team can then see whether the next action is curriculum work, an academic decision, a different learner audience or a narrower communication study.

Develop the next learning offer with Sapien

At Sapien, our team builds data-grounded simulated audiences, runs research and helps interpret the findings. Bring the course alternatives, intended adult learners and existing customer or research evidence. We can discuss the grounding needed to compare the supplied offers, explore differences between audiences and investigate the reasons behind their responses in an interactive report.

Use follow-up questions to examine a consequential interpretation or proposed revision. Agree which audience and task the available grounding supports; specialist academic or employer coverage should be established for the work. The useful result is a clearer development decision, with formal academic facts and remaining evidence needs visible.

Book a demo to explore how a Sapien study could help your team choose its next learning offer.