Home » Latest » Business Insghts » 3 Questions You Should Never Ask in Marketing Research

3 Questions You Should Never Ask in Marketing Research

2

InfoSearched 105 0 Business Insghts

6

SaveSavedRemoved 0

Three phrasing mistakes can quietly wreck an entire consumer survey before a single response comes in.

In his lecture “3 Questions You Should Never Ask in Marketing Research,” Professor Mark Wolters — creator of the Professor Wolters business and marketing education channel — walks business students through the questionnaire-design errors that turn a survey into unusable data. Wolters isn’t talking about which brand questions to skip; he’s targeting the structural flaws in how questions get written in the first place. His argument is simple: a badly built question can’t be fixed by a bigger sample size.

• Wolters identifies double-barreled questions — asking about two separate attributes in one prompt, like whether a store was “clean and well-stocked” — as a top source of unreliable data because respondents can’t answer accurately when they feel differently about each half.
• He flags leading questions, such as “Don’t you agree that our customer service is great?”, for telegraphing the desired answer and pressuring participants to conform instead of sharing genuine opinions.
• He warns that loaded questions, which embed charged language or socially undesirable assumptions, either drive respondents to quit the survey or push them toward dishonest answers just to avoid looking bad.

The Double-Barreled Trap

Wolters opens with the most common offender: the double-barreled question. His example — asking whether a store was “clean and well-stocked,” or whether a product was “affordable and fast” — sounds efficient on paper but collapses in practice. A respondent who loved the price but hated the shipping time has no honest way to answer a single combined scale. According to Wolters, that forces the participant to average two unrelated judgments into one number, and the researcher has no way of knowing which half of the answer actually drove the score.

The fix he prescribes is mechanical rather than clever: split the compound question into two single-issue items. Ask about cleanliness on its own line, stock levels on another. It doubles the question count but restores the ability to trace a negative score back to an actual cause — which is the entire point of running the research in the first place, a discipline anyone reading up on how to structure product market research will recognize as the baseline standard.

Leading Questions and Researcher Bias

The second trap Wolters covers is the leading question — phrasing that nudges the respondent toward a predetermined conclusion. His textbook example, “Don’t you agree that our customer service is great?”, doesn’t measure sentiment at all; it measures how willing the respondent is to disagree with the person asking.

“Don’t you agree that our customer service is great?”

Wolters walks through why that phrasing is corrosive to data quality: it introduces the researcher’s own bias directly into the instrument and creates social pressure on the participant to fall in line rather than voice a genuine complaint. He tells students that any question containing an embedded opinion — “agree,” “isn’t it true,” “wouldn’t you say” — should be rewritten into a neutral form before it ever reaches a respondent.

Loaded Questions and the Cost of Discomfort

The third and, per Wolters, most damaging category is the loaded question — one that buries an emotionally charged assumption or a socially uncomfortable premise inside the prompt. These questions corner respondents into a false choice, and Wolters stresses that people faced with that setup do one of two things: they abandon the survey entirely, or they lie to protect their self-image. Either outcome quietly poisons the dataset, because the researcher has no flag telling them which responses were genuine and which were damage control.

Wolters frames this as the highest-stakes mistake of the three because it’s the hardest to spot after the fact — a leading question shows up as an odd skew in the results, but a loaded question can simply produce silence, incomplete responses, or politely false ones that look clean on a spreadsheet.

Building a Cleaner Instrument

Across all three examples, Wolters returns to the same closing principle: marketing research only works when questions are neutral, clearly worded, and limited to a single issue at a time. That’s the standard he holds up for business students building their first questionnaires, and it’s the same discipline that separates usable survey data from noise — a lesson that applies just as much to founders reviewing their own early-stage business mistakes as it does to a classroom exercise.

Wolters ends the lecture the way he starts it — by telling students to physically test every draft question against the three traps before it goes anywhere near a respondent: is it asking two things at once, is it hinting at the answer, and does it force someone into an uncomfortable corner. Fail any one of those checks, he says, and the question doesn’t get fixed later with a bigger sample — it gets rewritten now.