Usage and Attitude Study (U&A): Methods & Examples

A usage and attitude study, also called U&A or A&U, examines who uses a category, how often, in which situations and what they think about it. Connect those measures to choose a growth question. Keep users, nonusers, purchases and occasions clear so the baseline leads to a useful next study.

A proposed category baseline would distinguish rare users who like dumplings, frequent users who choose a competitor and nonusers with a practical barrier. Those differences help the team choose a growth question; an average appeal score wouldn’t.

Example: a new occasion or a category-entry barrier

Plover is a hypothetical frozen-dumpling brand selling bags of 20 vegetable dumplings in supermarkets. It may be missing weekday meals among existing category users. Or potential weekday buyers may not use the category at all. The team needs to know which question to investigate.

Those explanations call for different work. The first might lead to a useful meal idea or preparation support. The second could involve product understanding, availability, freezer space or a mismatch with what people want to eat. A U&A should help decide which explanation deserves further investigation.

SurveyMonkey’s U&A guide describes the method as connecting who buys and uses a category, where and how often, with opinions and consumption habits. For Plover, that means studying the category beyond its own customer list. Surveying only Plover buyers would miss people choosing another brand and people not using frozen dumplings.

First establish the category baseline. Then choose whether to investigate an unused occasion among users or a barrier for nonusers. The baseline alone does not show that either response will increase sales.

Define the category and the period people must recall

Decide what counts before asking how often it happens. In this example, category use means eating frozen filled dumplings prepared at home. Restaurant dumplings and other frozen meals are alternatives, rather than category-use occasions. Explain the boundary in language people understand and check it in a pilot.

Keep buying and eating separate. One person may buy, another prepare and several eat. A purchase is not an occasion and a bag is not a person. Ask about the role someone can report, not everyone else’s behavior.

The same unit distinction appears in our financial services market research walkthrough: a banked household, an account holder and a completed move of everyday banking describe different things.

Use a stated reference period for frequency, with actual start and end dates in the fielded questionnaire. Ask about the most recent relevant occasion separately. The period needs to suit the category and the decision; four weeks is the example period, not a universal rule.

The UK Government Analysis Function’s questionnaire design guidance recommends specific time boundaries and attention to recall difficulty. Where appropriate and consented, a participant can check a receipt or another record. An unsupported recollection remains reported behavior, even when entered through a digital survey.

For a category-use estimate, define the eligible population before filtering to current users. If the target is adults who share responsibility for household food shopping, ask enough to identify current category users, lapsed users and nonusers within that population. An oversample of occasional users may support a diagnostic, but it needs to remain identifiable when estimating the category baseline. Our research sampling guide covers the audience and inference decisions behind that choice.

People, households and occasions have different bases

Plover needs more than a count of bags sold. It needs to know how category participation and frequency relate to the opportunity under consideration.

One recent occasion per user describes those users’ last occasions. Daily and once-a-month users each contribute one record, so it does not automatically show the share of all occasions. Use a suitable frequency or diary design when you need that wider mix.

Report participation and frequency separately. “Few people use the category” and “users use it infrequently” describe different problems. An average that removes zero-use answers cannot help choose between attracting nonusers and adding occasions.

Ask about alternatives used before asking for a favorite

People may alternate between frozen dumplings, other frozen meals, a meal cooked from ingredients and takeaway. Within the category, they may buy more than one brand. Ask about the alternatives used in the defined period rather than forcing a single favorite to stand in for their repertoire.

Someone using Plover and another brand belongs to both brand-use groups when multiple answers are allowed. Those shares need not total 100%. That differs from assigning each purchase or occasion to one choice. Keep the question and total behind each percentage visible.

Distinguish availability from choice where you can. A buyer may prefer another brand or simply not find Plover. Keep the encounter and source with the answer. A survey explanation does not verify store stock or competitor distribution.

This category repertoire is an input to later decisions. It is not yet a segment structure, a customer persona or a recommendation to target every person who named an alternative.

An attitude needs a defined use situation

An answer to “Dumplings are convenient” can refer to storage, preparation, serving or shopping. For the weekday-meal question, investigate the part that could change the next action.

One example statement is: “Frozen dumplings fit the time I have to prepare a weekday evening meal.” Keep a separate question for confidence in making them into a complete meal. Combining the two would make disagreement hard to interpret. Use response options suited to the question, and keep lack of experience or inability to judge distinct from a neutral opinion.

Ask about category habits before introducing Plover’s proposed meal idea. Once someone has seen a persuasive explanation, a later answer concerns that informed encounter. Pew Research Center’s guidance on question order explains how earlier questions can supply context for later answers. Keep the original category baseline separate from responses after the proposed intervention.

Compare attitudes within the defined usage groups and read the associated accounts. Positive views with little use might point to an absent occasion, a practical constraint or an inaccurate explanation. The association does not establish which belief caused the behavior. Our consumer behavior guide explains how reported, observed and transactional evidence answer different parts of that question.

Different patterns lead to different decisions

These are possible patterns, not results. Their value is that they lead to different research and product decisions.

The third pattern is a useful countercase. It prevents the team from turning every U&A answer into a communication problem. If the target household cannot store the product, an occasion-led campaign may reach the intended person without making the offer usable.

A large user group is not automatically the best opportunity. Check its measured size and uncertainty, unmet situation, workable response and the evidence needed to evaluate it. State missing data instead of inventing an opportunity score.

The selected opportunity needs a separate test

Suppose the real baseline and follow-up accounts eventually support investigating weekday use among current category users. Plover could compare its complete existing presentation with a feasible meal-serving presentation of the same bag. Keep product, quantity, price, availability and exposure comparable when the question concerns the presentation.

The presentation comparison asks whether the explanation changes understanding or consideration. It does not show successful preparation or more frequent buying. Test actual preparation with target users, then purchases or repeated use with an appropriate behavioral or retail comparison. Our in-home usage testing guide explains how to plan the preparation task with actual users.

If the proposed solution changes the product or adds another item, describe that as a different complete offer and evaluate its feasibility. Our concept testing guide covers the development decision after the opportunity has been selected.

Use the U&A to establish which category question deserves that test. It should not become a concept score collected before the team knows which population or occasion it needs to understand.

Our travel market research guide follows the move from planning evidence to a departure or itinerary a defined party can take together. It shows how the traveling situation can change which trip product to develop before investigating the booking journey.

The category baseline sets up the next comparison

Sapien builds simulated audiences from purchase, behavioral and research data. Customer data and past studies can add context. We can compare alternatives for an agreed category question and explore the reasons different audiences give.

For Plover’s decision, an existing human U&A could inform the audience and the usage situations represented in a subsequent comparison. Keep the source, period, category definition and important gaps visible. A simulated account of eating dumplings is not a new human usage record. Generated frequencies cannot establish current category participation, the actual occasion mix or a change in real household behavior.

Our synthetic vs human respondents guide explains how to choose the evidence source as the decision changes. Use human and behavioral evidence for the category baseline and real-use outcomes; use simulated comparisons with suitable audience data and validation to explore the next alternatives.

If your next question concerns a new use occasion, bring the category baseline and complete presentations for the existing offer and proposed alternative. Book a demo to plan a comparison of how the defined usage group understands them, before a preparation or purchase test.