Build a survey that reveals library brand awareness

Library leaders can point to visit numbers, borrowing totals and event attendance, yet these figures rarely reveal whether the community recognises the library’s name, understands its services or considers it relevant. A well-designed brand awareness survey fills that gap by showing what people notice, remember and associate with the library before they visit.

The results should support practical decisions, not merely provide a satisfaction score. In Australia, where councils, state libraries and community organisations often operate under different names, the survey must distinguish public awareness of a particular library from awareness of library services in general.

Define what brand awareness means

Begin by deciding which identity the survey will assess. A library network might be known through its central brand, individual council branches, familiar program names or local campaign messages. List the names, logos, social-media accounts and service descriptions people may encounter. Without this brand architecture, low recognition could be mistaken for weak promotion when residents were simply looking for a different name.

Measure awareness at several levels. Unaided awareness asks what people recall without prompting. Aided awareness tests recognition when names or logos are presented. Familiarity measures how much people know about opening hours, collections, events, digital resources and eligibility. The survey should also identify whether recognition leads to consideration or use.

Each awareness measure must support a decision. Strong name recognition alongside poor understanding of free membership may justify clearer enrolment messages. High awareness of storytime but little awareness of job-search help could shape promotion across adult services. Defining the purpose first keeps the questionnaire focused and prevents attractive but unhelpful ratings from crowding out essential evidence.

Select people who reflect the community

Decide whom the library needs to hear from, then recruit a sample that reflects that population. A general community survey may need adults from existing users, former visitors and people who have never used the library. A branch survey can focus on its catchment, while a campaign survey should include people exposed through regional advertising. Children may require a separate, age-appropriate study rather than inclusion in a standard adult questionnaire.

Do not rely on one online panel or email list. Offer a short paper version at branches and community events, and make the digital form usable on a basic phone screen. Survey methods used in travel and tourism research offer a useful model for separating sampling goals from convenient recruitment channels. Record response rates by channel because older residents, people with limited internet access and busy families may respond differently online and on paper.

Australian geography matters. A sample drawn in Melbourne may not represent people living in regional or remote areas. Ballarat residents may travel much further for specialist services, while people near Alice Springs may depend heavily on digital access and transport. Compare awareness across relevant regions only when sample sizes support reliable conclusions.

Write questions people can answer easily

Organise the questionnaire around the awareness journey: what people have noticed, what they remember, what they understand and what they might do. Begin with broad recall before showing names or service prompts. Later questions can assess recognition, relevance and intended action. Randomise long response lists so position does not influence answers, and include “not sure” where respondents may otherwise guess.

Use familiar Australian English and service language where it reflects local usage. Terms such as click-and-collect, storytime and makerspace may communicate value more clearly than technical phrases. An unaided question could ask, “Which libraries or library services have you heard of?” An aided item could then ask respondents to select from a randomised list. Follow recognition with a plain question: “Which of these services do you know [Library Name] provides?”

Avoid claims that steer responses. Instead of “How useful is our extensive digital collection?”, ask “How useful, if at all, is the library’s digital collection for your needs?” Use balanced scales such as not at all useful, slightly useful, moderately useful and very useful. Keep demographic questions optional, explain why sensitive information is requested and collect only broad locations rather than precise addresses.

Pilot the survey with a small group from different backgrounds and access needs. Ask participants to explain what each question means and to identify confusing terms. Test the online layout, screen-reader compatibility and paper version. This review often changes the instrument more effectively than a long internal debate about wording.

Measure recognition, association and intent

Unaided awareness is usually reported as the percentage of respondents naming the library or an associated service without prompting. Open-text answers should be coded consistently, including partial names and local nicknames that refer to the same organisation. Report the method alongside the score so another library can understand how the result was calculated.

Aided recognition can use a simple proportion who select the library from a list. Add confidence by asking how familiar respondents feel and which services they believe the library offers. Brand attributes can then show what people attach to the name: accessible, welcoming, helpful, old-fashioned, child-focused or government-funded. These perceptions may differ even when recognition is high.

Downstream measures distinguish awareness from behaviour. Ask whether respondents have visited, used an online resource, borrowed an item or attended an event during a defined period. Intention questions can indicate likely future use, but should not be presented as predictions. Someone may value the library yet face travel barriers, limited opening hours or caring responsibilities that prevent in-person visits.

Analyse results without losing context

Begin with response quality and sample coverage. Remove clearly duplicate or incomplete submissions according to predefined rules, while retaining legitimate short answers. Compare respondents with the target population by broad age group, location, language background and library use. Weighting can correct known differences, but it cannot fully repair severe undercoverage.

Look for patterns rather than isolated percentages. Compare unaided and aided awareness, service knowledge and actual use. A large gap may reveal confusion about names or eligibility. Results can also be segmented by current users, former users and non-users, provided each group has enough respondents. Small segments need clear caveats, and open-text comments should be themed without removing essential context.

Handle information responsibly under the Australian Privacy Principles and relevant state or territory requirements. Store identifiable details separately from responses, set a deletion period and publish only aggregated findings. Aboriginal and Torres Strait Islander communities should have authority over surveys concerning them, with local data governance, cultural safety and community participation built into the process.

A baseline becomes more useful when the same core questions are repeated. Keep several unchanged measures so trends remain valid, record any wording changes and report field dates. Awareness can shift after a rebrand, opening, service closure or campaign, so annual or biennial repetition is often more informative than a one-off survey.

Turn evidence into action

Translate the clearest findings into a small set of decisions. Low unaided awareness may call for consistent naming across council signs, websites and local partners. High recognition but low service understanding may require better explanatory copy. Familiarity concentrated among existing users could justify awareness work in areas where non-users recognise other community organisations but not the library.

Communicate the result in plain language. A short summary for staff can explain the sample, headline measures and agreed actions; a public version should protect privacy and avoid unsupported claims. Share campaign performance with frontline teams, because staff hear which names, services and misconceptions appear in everyday conversations. Give community partners a role in implementing and reviewing the response.

Choose one decision the survey must inform, assign a survey owner and write three core measures before fieldwork begins. Pilot the questionnaire, recruit beyond existing library users and set a date for sharing the findings. Make the next library decision from the collected evidence, then return to the same measures to check whether awareness and understanding have improved.