CMNS2700 Chap.2 Market Research and Customer Insight
Market Research and Customer Insight
Research choices determine what a venture can responsibly claim. This chapter distinguishes primary from secondary evidence and qualitative from quantitative methods, then shows how interviews, observation, surveys, reports and analytics can be triangulated. It also develops target markets and personas from relevant behaviours, motivations, contexts and pain points.
A persona is useful only when it changes the offer, channel, message or price.
What this chapter covers
- 01
Primary and secondary research
- 02
Qualitative and quantitative evidence
- 03
Consumer insight iceberg
- 04
Trend evidence
- 05
Target-market boundaries
- 06
Research-backed personas
Worked example · free
Triangulate a podcast customer
- +1Use interviews for motives and workflow language.
- +1Use the survey and behavioural evidence to test spread.
- +2Keep only characteristics that affect the service decision.
Key terms
- Primary research
- Evidence collected directly for the current decision through interviews, surveys, observation or similar methods.
- Secondary research
- Existing evidence such as industry reports, platform analytics, competitor material and trend publications.
- Qualitative evidence
- Evidence that explains language, motive, meaning or context rather than estimating frequency.
- Quantitative evidence
- Evidence expressed through counts, rates or comparisons that helps estimate scale or change.
- Persona
- A compact, evidence-backed representation of a target customer's relevant jobs, behaviours, motives and pains.
Market Research and Customer Insight FAQ
Which research method should I use first?
Start from the uncertainty. If you do not understand the customer's language or motive, begin with interviews or observation. If a pattern is already defined and you need to estimate its spread, use a survey or behavioural data. Secondary sources establish category context and alternatives.
Why is stated preference not enough?
People may describe ideals that differ from actual behaviour. Compare what respondents say with recent examples, observed workflow, purchase or usage data and current alternatives. This is not about distrusting participants; it is about understanding the practical job and constraints surrounding their answer.
What belongs in a customer persona?
Include only characteristics that change product, channel, message, support or price decisions. Relevant jobs, behaviours, context, goals and pain points matter more than decorative biography. If a detail has no effect on the venture decision, remove it or keep it outside the working persona.
How should I handle evidence sources that disagree?
Do not average disagreement away. Check whether the sources describe the same segment, time period, location and behaviour, then consider how the collection method shaped each result. Interviews may reveal motives while usage data records actions; both can be accurate without answering the same question.
Record the conflict as a decision-relevant uncertainty, narrow any claim to the evidence it genuinely supports and design the next method to discriminate between explanations. For example, follow an interview claim with observation or a concrete choice rather than another opinion question.
In the final analysis, explain which source received more weight and why, including sampling limits and plausible alternative interpretations.
When is a survey the wrong first research method?
A survey is weak when the team does not yet know the customer's vocabulary, relevant answer options or underlying process. Fixed responses can make an early assumption look measurable while excluding the real problem. Begin with interviews, observation or task walkthroughs when you need to learn how people describe the situation, where friction occurs and what alternatives they already use.
Once recurring patterns appear, a survey can estimate their distribution across a defined population. Keep questions neutral, ask about recent behaviour and avoid treating stated purchase interest as demand. A small transaction, booking, deposit or repeated use provides a different and often stronger kind of evidence than agreement with a hypothetical proposition.
Assessment move
Create a four-cell research plan crossing primary and secondary sources with qualitative and quantitative evidence. Put one method in each cell, name the question it answers and state its limitation. When writing the persona, cite the evidence behind every characteristic and mark unverified items as hypotheses. Revise the segment after each new source rather than accumulating details.
For revision, take one broad claim and rewrite it at three levels of defensibility: an observation, a supported pattern and a bounded recommendation. Label the evidence needed to move between levels. Audit every persona detail by asking which decision it changes, then remove decorative biography. Finally, compare a leading question with a behavioural prompt and explain how each could change the response, sample and conclusion.
Keep an evidence log recording source, date, scope, method and decision affected; this makes contradictions visible and stops a memorable quotation from silently outweighing the broader research record. Finish by stating the strongest remaining research limitation plainly.
Working through Market Research and Customer Insight in CMNS2700? Sia is AskSia’s AI Management tutor — ask any CMNS2700 Market Research and Customer Insight question and get a clear, step-by-step explanation grounded in how CMNS2700 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.