Surveys

Collect structured feedback from defined participant groups to assess how common experiences, attitudes and differences are within the sample studied.

Surveys

Surveys gather comparable responses at scale so teams can see patterns, segments and change over time.

Well-designed questions, sampling and analysis turn self-reported experience into evidence your team can weigh — prevalence of barriers, satisfaction drivers, awareness or intent — without mistaking a questionnaire for lived observation.

UX Pacific builds surveys around the decision at hand: clear constructs, careful wording, appropriate scales and reporting that states who answered and what the numbers can and cannot support.

What this method reveals

  • How widespread selected attitudes or experiences are in the sample
  • Differences across segments, markets or channels
  • Priority of needs, barriers or message reactions
  • Trends when the same measures are repeated

How we run it

  • Question design tied to research objectives and constructs
  • Sampling and fieldwork plans matched to the audience
  • Quality checks for completion, logic and response patterns
  • Analysis and visualisation that keep limits visible

When to research

When surveys are useful

Use surveys to estimate how common an experience is among a defined group, compare segments, track agreed metrics or prioritise known issues. Pair them with qualitative or observational methods when you still need to understand why patterns appear or how tasks are actually performed.

The right participants

Samples that match the decision

We define eligibility, quotas or weighting criteria around the audience that matters — customers, employees, citizens or partners — and describe coverage clearly so findings are not over-generalised beyond the people reached.

Our approach

How we run survey research

  1. 01

    Frame the decision

    Agree objectives, constructs to measure and the decisions the results need to inform.

  2. 02

    Design the instrument

    Draft questions, scales and logic paths that minimise bias and cognitive load.

  3. 03

    Pilot and refine

    Test comprehension, timing and technical delivery with a small group before full field.

  4. 04

    Field the survey

    Recruit or invite participants, monitor quality and manage reminders within agreed ethics.

  5. 05

    Analyse the data

    Examine overall patterns, segment differences and relationships relevant to the brief.

  6. 06

    Translate findings into action

    Report implications with clear statements of sample, uncertainty and next evidence needs.

Question design

Wording that measures what you intend

We avoid double-barrelled items, leading frames and vague time windows. Scales and response options are chosen to match the construct so analysis stays interpretable for product and service decisions.

Research in context

Channels, languages and markets

Delivery may use email, in-product prompts, panels or assisted completion. Cross-market work includes translation checks and cultural review so comparable questions retain local meaning.

Research ethics

Consent, data minimisation and transparency

Respondents understand purpose, estimated time, voluntary participation and how data will be used. We collect only what the analysis requires and handle personal data according to the agreed retention plan.

The output

What your team can receive

Outputs may include topline findings, segment comparisons, priority charts, open-text themes and dashboards or decks that link numbers to decisions. We state sample composition and confidence limits alongside recommendations.

Clear boundaries

Interpreting survey evidence

Surveys measure what people report under the conditions of the questionnaire. They do not replace observation of behaviour, establish causation by themselves or guarantee commercial outcomes. Non-response and social desirability can distort results; we keep those risks visible.

More in quantitative research

Concept & Preference Testing

Compare reactions to concepts, messages and design directions before build.

Explore

Experience Measurement

Define and track experience measures with context, not vanity scores.

Explore

Benchmarking Studies

Compare agreed tasks and measures across experiences or over time.

Explore

Analytics Review

Interpret behavioural data alongside qualitative evidence.

Explore

Let us help shape the next step

Measure patterns with clear questions.
Decide with evidence you can trust.

Share the audience, constructs and decisions your survey needs to support.

Describe Your Research Need