What research does a website need before launch?

A website needs enough research to understand audience needs, validate key tasks under realistic conditions, and make priorities measurable. Combine direct audience feedback with behavioural data, then test critical journeys, accessibility and content comprehension before launch. Continue measuring after launch so unresolved barriers and assumptions can be addressed.

Digital illustration of a retro computer monitor against a purple background, receiving streams of data lines and binary code from the left, while displaying a modern graphic design software interface on its screen.

Build research around the decisions the website must support

Start with the decisions that the website needs to help people make and the tasks it needs to support. Research should establish more than job titles or broad personas: it should explore audience questions, triggers, objections, alternatives, decision-makers and the proof people need before they act. Stakeholder discussions and desk research may be enough to clarify a focused brief, while a new market, audience segment or proposition may need deeper market analysis, competitive audits, social listening, persona development or customer journey mapping.

The aim is not to conduct every possible research activity. It is to replace assumptions with a strategic foundation that gives design, writing and development a clear direction. Define what needs validation before choosing methods, then record which findings are sufficiently reliable to guide messaging, information architecture and user journeys.

Sources: Your audience isn’t a persona. It’s a moving target., Where logic meets magic: why strategy underpins every great idea

Combine audience insight with behavioural evidence

Behavioural data can indicate where visitors click, view, leave or complete a task, but direct feedback adds context about what audiences understand, need and choose to share. Asking for feedback can also show that an organisation is listening, while first-party data gives marketers information collected directly from users.

Use these sources for different purposes rather than treating one as a substitute for another. Audience conversations can clarify the language, level of detail and framing people need. Usage data can help identify patterns worth investigating and measure whether a changed experience is behaving differently. Stakeholder input can supply operational and commercial context, but it should not be the only basis for decisions about audience needs. Bring the findings together into a small number of prioritised problems, rather than a long unranked list of observations.

Sources: The party’s over. It's time for marketers to embrace privacy, Your audience isn’t a persona. It’s a moving target.

Test real tasks, conditions and access needs

Pre-launch testing should reflect the conditions in which people will actually use the website. Accessibility is not limited to a single user group or device. People may be using a slow connection, a keyboard rather than a mouse, a screen reader, a mobile phone in bright light or a setting where concentration is limited. These conditions can change whether content is understandable and whether a task is possible to complete.

Test key journeys with people who reflect relevant access needs and use the technologies they rely on. Review whether navigation, contrast, timing, interaction and content structure work without making assumptions about users. This also improves the quality of general usability testing, because it shifts attention from whether an interface looks complete to whether people can use it effectively in context.

Sources: Designing and developing web experiences for everyone

Turn research findings into website priorities

Prioritise findings according to their effect on the audience and the website's purpose. A finding should lead to a decision: clarify a proposition, change content structure, adjust a journey, simplify an interaction or test a competing approach. Creative work is stronger when it is grounded in a clear articulation of the challenge, audience expectations and the insight behind the decision.

For complex audiences, avoid assuming that one format or level of detail works for everyone. Research for Siemens Digital Industries Software found a spectrum from technical engineers to senior executives, each needing different depth, language and framing. The resulting experience used accessible entry points and allowed visitors to choose between detailed technical papers and executive summaries. This is a useful pattern when research identifies materially different information needs across an audience.

Sources: Where logic meets magic: why strategy underpins every great idea, Siemens: Bringing New Dimensions to White Papers

Stats

In the INTERCEPT study, iterative co-design and usability testing produced 64 recommendations, 51 of which were implemented.

JMIR Human Factors

A 2025 systematic review examined 68 primary studies of usability testing for self-care mHealth apps.

Digital Health

FAQs

Why can automated accessibility checks miss barriers?

Automated checks can miss barriers because accessibility depends on how people use content, controls and navigation in real conditions. A website may need to work for people using keyboards, screen readers, slow connections, mobile devices or environments that affect visibility and concentration. Include human review and testing that reflects relevant access needs before launch.

What can small user tests tell us about international audiences?

Small user tests can reveal whether people with different levels of expertise understand the language, framing and depth of information provided. They can identify where an experience assumes a single homogeneous audience when technical and senior business users need different routes through the content. They do not remove the need to consider wider segment coverage when the audience is international.

What links task success to qualified pipeline?

A measurement plan links task success to qualified pipeline by defining the intended user action and the business outcome it is expected to support. Track whether changes help people understand relevance, complete key journeys or provide information that can inform sales discussions. Treat the connection as a testable measurement question, not an automatic result of improving usability.

Which findings should set website priorities?

Website priorities should be set by findings that clarify the audience problem, expose a barrier to a key task or change a decision about messaging, structure or interaction. Use research to articulate the underlying challenge rather than simply accepting the initial request for a website, campaign or asset. Prioritised findings should give creative and delivery teams a clear foundation for action.

When should website testing continue after launch?

Website testing should continue after launch when live audience behaviour can validate or challenge pre-launch assumptions. Monitor engagement signals and invite feedback from users so that patterns in usage can be investigated and improvements prioritised. This is particularly important when audiences, search behaviour and the questions people ask are changing.

How do I run usability testing for an international website?

Use a focused test plan that represents important audiences, validates real tasks and turns findings into measurable decisions.

  1. Define the audience and tasks

    Identify the audience groups whose needs may differ, including differences in expertise, language, context and access needs. Select the key tasks they need to complete, such as understanding relevance, finding information or progressing through an enquiry journey. Keep the test focused on decisions the redesign needs to make.

  2. Test in realistic conditions

    Ask participants to use the website through realistic tasks and conditions rather than only reviewing visual designs. Include relevant devices, keyboard use, assistive technologies, connection constraints and content-comprehension needs. Record where people hesitate, misunderstand information or cannot complete the task.

  3. Prioritise and measure changes

    Convert observations into prioritised changes to messaging, information structure, content depth or interaction design. State the reason for each change and the behaviour it is intended to improve. After launch, monitor relevant engagement and task signals, then investigate issues that remain unresolved.