How does an experience begin before anyone walks through the door?

Organisations often map visitor journeys from the moment somebody enters. Doing so can hide the moments people use to prepare themselves mentally. The table below is a practical research and design framework, not a universal ranking. The importance of each touchpoint depends on the audience and setting.

There is no reason to give every moment equal weight. A museum receiving mostly day visitors may reduce uncertainty through clearer directions and arrival information. An exclusive showroom may depend more heavily on the appointment confirmation. At an event, the question 'How formal is this?' may matter more than the signage.

A customer journey is therefore not simply a sequence of operational steps. It is also a sequence of interpretations. Every touchpoint can confirm, sharpen or challenge the meaning of what is about to happen.

Moment before the experience	Possible association	What to investigate	Possible design decision
Initial discovery	Familiar, distinctive, elitist, accessible	Spontaneous reactions to the name, image or recommendation	Make the initial story more accurate or relevant
Website and social content	Calm, crowded, adventurous, complicated	What kind of visit does the first impression suggest?	Show what the experience is really like
Price and booking	Value, risk, exclusivity, effort	What does the price imply in this context?	Clarify inclusions and differences between options
Confirmation and preparation	Confidence, tension, control	Which practical questions remain unanswered?	Provide useful information before departure
Travel and access	Ease, haste, uncertainty	Where does friction emerge along the route?	Explain transport, parking and accessible options
Exterior and façade	Welcome, status, safety	What do people expect the entrance to be like?	Create a recognisable and approachable transition
Queue and threshold	Patience, exclusion, curiosity	How do visitors respond immediately before entering?	Reduce uncertainty and clarify the next step

From a neuroscience perspective, perception does not take place independently of prior knowledge. De Lange, Heilbron and Kok review how expectations and what people have previously learned can influence sensory processing [1]. This does not imply that the brain only perceives what it wants to perceive. New information can update, qualify or contradict a prior expectation.

In service contexts, the type of expectation matters too. Zeithaml, Berry and Parasuraman distinguish desired, adequate and predicted service in their conceptual model [2]. This helps separate what a visitor hopes to receive from what they expect to receive and what they consider the minimum acceptable level. These are not interchangeable.

Someone might hope for personal guidance, predict they will have to navigate independently and regard clear directions as a minimum requirement. Helpful staff may then exceed the person's prediction while still falling short of what they most wanted. If you combine these layers into one generic expectation score, your interpretation of satisfaction can be misleading.

Research on expectation-disconfirmation considers the relationship between prior expectations, perceived performance and satisfaction [3]. The practical implication is that a grand promise is not necessarily an advantage. It can increase attraction while making later disappointment more likely if the reality is substantially different.

Lemon and Verhoef place experience within a wider customer journey involving multiple channels, touchpoints and influences, not all of them controlled by the organisation [4]. A recommendation from a friend or an unexpectedly stressful journey may fall outside the campaign plan but still form part of the visitor's context.

The commercial and design consequence is straightforward: do not sell an expectation your experience cannot support, and do not rely exclusively on satisfaction questions after people have left. Establish what people expected beforehand, then examine what happened during the visit.

An association does not need to be purely positive or negative. Consider the word 'exclusive'. For one visitor, it can mean exceptional, thoughtfully curated and worth the price. For someone else, it can suggest expensive, distant or 'not for people like me'. A message can therefore become more compelling for one audience while raising an unintended barrier for another.

The same applies to 'adventurous', 'quiet', 'interactive' and 'family-friendly'. Meaning does not reside in the word alone. It emerges from the interaction between your promise and the audience's existing ideas, needs and previous experience.

That is why asking 'Does this seem attractive?' before a visit does not always reveal enough. It produces an overall judgement. Asking which words, images and social expectations come to mind helps identify mechanisms worth testing. A visitor might describe an exhibition as 'impressive' and, when given room to elaborate, also mention 'crowded', 'complicated' and 'long queues'.

Useful associative research separates at least three layers. The first is the meaning of the place: educational, modern, prestigious or formal. The second is the meaning for me: will I feel stimulated, at ease or out of place? The third is the meaning of participation: what do I think I need to do to take part in this experience?

A visitor can be enthusiastic about the place while remaining uncertain about participating. It would be a mistake to reduce that combination to a single average sentiment score. The design question is which meanings coexist and at which point one becomes relevant to behaviour.

The opposite simplification is equally unhelpful. Not every uncomfortable expectation is a flaw. Anticipatory tension can be part of what people deliberately seek in a performance or adventure experience. The issue is whether the tension matches the promise and whether visitors have enough information and confidence to choose it knowingly.

In experience and customer journey research, measurement timing matters. If people are asked only after the visit what they expected beforehand, they are reporting a memory of their expectation. That memory may already have been influenced by what happened. It is therefore better to measure the stages separately wherever possible.

Step 1 - Define the experience problem. For example, why do some visitors arrive in a rush, skip a gallery or spend less time than expected? Specify the observed behaviour and context. 'Improve the experience' is too broad to evaluate properly.

Step 2 - Distinguish audience characteristics from visit purpose. An experienced museum visitor can arrive differently on a leisurely afternoon than on a busy family day. Do not compare age groups alone. Consider purpose, prior knowledge, companions, time pressure, access needs and previous visits.

Step 3 - Measure expectations before exposure to the new setting. Ask openly what people anticipate seeing, feeling and doing. Where appropriate, collect spontaneous brand and place associations, perceived social rules and uncertainty about the practicalities. Find out which information sources shaped the picture.

Step 4 - Test individual stimuli. Compare the booking-page photograph, confirmation email, travel instructions and exterior imagery. What meanings do these cues evoke, and how accurately do they represent the real setting? A brand promise and a practical instruction serve different functions.

Step 5 - Observe arrival behaviour. Record where visitors pause, turn back, ask questions, look for information or speed up. Eye tracking can indicate whether relevant signs and elements are visually attended to. Observation and context are still needed to interpret what people actually do.

Step 6 - Measure response during the experience. Depending on the research question, short in-situ questions, observation or mobile EEG can help investigate changes in response across a journey. An EEG trace is not a direct measure of 'expectation fulfilment' or a complete reading of someone's emotion.

Step 7 - Explore what people remember and would choose again. Compare recalled experience with the expectations measured before arrival and with observed behaviour. In their study of students' spring-break experiences, Wirtz and colleagues found meaningful differences between anticipated, in-the-moment and remembered experiences. Remembered experience directly predicted their desire to repeat the activity in that study [7]. This is one reason not to rely on a single survey moment.

Keep definitions consistent across the stages and avoid prompting the very associations that you later describe as spontaneous. A useful baseline begins with open questions, before specific descriptors are introduced.

Two people can buy the same ticket but ask completely different questions of the same place. The profiles below are illustrative visit situations, not measured Neurofactor audience segments or fixed personality types. They are valuable because they help formulate research questions.

Quietness can be a quality cue in a museum. For a family, the same silence might imply that children are unwelcome. In a business showroom, an individual welcome may build trust, but an overly formal ceremony can also create social distance. The meaning of an environmental cue is not fixed across settings and audiences.

Bitner's work on servicescapes provides a framework for considering how physical surroundings may influence customer and employee behaviour [5]. It offers a reason to examine layout, signs, sound and reception carefully. It does not establish that one colour, scent or lighting temperature has a universal effect on every visitor.

The research becomes more useful when it can reveal the gap between what people expected and what they encountered. Otherwise, organisations risk optimising for an imaginary average visitor who scarcely exists in practice.

Visit situation	Possible expectation	Potential barrier	What to investigate at arrival
First visit, independent	I want to discover what makes this place special	I do not know how it works	Does the visitor search for directions or behavioural cues?
Regular visitor	I know the venue and want greater depth	It may be more of the same	Are new elements and their value recognised?
Visit with children or a group	We want to enjoy something together	Will it suit everyone's pace?	Where do waiting and competing needs cause friction?
Visit for an appointment	I want a professional and welcoming reception	Am I on time and in the right place?	Where is uncertainty reduced or increased?
Tourist visit	This should be a highlight of my trip	What if it disappoints after all the recommendations?	Where does reality confirm the advance promise?

When visitors arrive with questions or visible tension, the immediate response is often to add staff at reception, enlarge the welcome desk or replace signage. Those may be sensible changes. But the uncertainty might have started earlier.

Imagine a reservation page that emphasises exclusivity but gives no useful information about accessibility, clothing, visit duration or what happens next. Visitors who are unsure about those issues bring their questions to the entrance. Staff can resolve them there, but the visitors have already experienced that uncertainty. A clearer confirmation email might have reduced the problem before departure.

The reverse can happen too. A website may suggest a fully informal, open-ended experience, while the actual visit requires timed entry, a prescribed route and quiet areas. The entrance may work exactly as intended. The problem is that the preparation suggested a different experience from the one visitors must navigate.

Verhoef and colleagues describe customer experience as a dynamic process shaped in part by past experiences and by physical and social surroundings [6]. That makes the internal boundary between 'communication' and 'experience design' less important than the visitor's lived sequence.

One practical rule is to let the experience team review what guests are told before they arrive. A team that focuses only on the interior may miss the expectations created by marketing, booking, sales, partners and other visitors. You cannot control every touchpoint, but you can take responsibility for those within your influence.

Imagine the fictional Museum by the Quay, which presents a temporary exhibition about stories from the city. Its aim is for visitors to explore with curiosity and feel comfortable asking questions. The galleries, entrance and staff are identical for every guest. Yet the team notices different reactions when people arrive.

Visitor A has watched a short video in which a guest discusses an object with an employee. She anticipates an approachable, personal encounter. When no member of staff is immediately visible, she looks for confirmation that questions are genuinely encouraged. Her possible barrier is not dissatisfaction with the collection. It is a mismatch between the suggested interaction and the first cues she sees.

Visitor B has read that the exhibition offers 'an exclusive encounter with rare objects'. He anticipates calm, refinement and guidance. A crowded foyer may challenge that image even if the galleries are quiet later. A useful research question would be whether the first few minutes influence his interpretation, not an unsupported claim that he is disappointed.

Visitor C is arriving with two children. She hopes for a shared discovery but is unsure whether children can touch anything or how long the visit will take. A clear family preview before departure may reduce that uncertainty. A helpful sign placed after entering may arrive later than she needs.

How could these hypotheses inform a test? Develop three advance-information variants: realistic images of interaction with staff, a clear preview of quiet and busy areas, and practical information for visiting families. Specify which change you expect in associations such as 'approachable', 'calm' or 'suitable for us'. Then observe understanding, questions at arrival, journey behaviour and experienced fit.

This case is entirely fictional. It contains no participants, measurement results, percentages or demonstrated effects. It illustrates how an associative hypothesis can become a testable experience-design decision.

An association map only becomes useful when it informs a choice about what to change. That change may take place inside the venue or at the point where visitors first read about the experience.

1. Translate the promise into observable actions. Do not say 'personal experience' without explaining what that entails. Show how visitors can speak to staff, where their journey begins and, where reliable, how long different parts take.

2. Separate appeal from reassurance. An inviting image can increase curiosity. Add clear information when the target audience is uncertain about access, length, price or social expectations. Practical clarity does not have to eliminate excitement.

3. Make the first transition predictable. If visitors must make a decision at parking, entry or cloakroom, present the next step at the moment it becomes relevant. It will not remove every concern, but it can make the transition easier to follow.

4. Design for actual visit purposes. Curious solo visitors, families and people arriving for an appointment need not receive identical instructions. Where possible, support several clear routes without forcing everyone into a simplistic persona category.

5. Align communication with reality. A premium promise is more than dark photography and a high price. If the venue is lively and informal, showing that honestly may be more appealing and credible for the audience you genuinely want to attract.

6. Involve the reception team in interpretation. Hosts and employees hear questions that surveys sometimes miss. Use their observations to generate hypotheses, not to claim that every visitor experiences the same difficulty.

7. Review the remembered experience. Someone can be briefly uncertain at entry and still remember an excellent day. Conversely, a smooth entrance can be followed by disappointment. Define which outcomes matter rather than trying to remove every uncomfortable second.

When selecting research methods, association research, eye tracking, observation and, where justified, mobile EEG can provide complementary evidence. The research question should determine the combination. The more expensive instrument is not automatically the better one.

Do not begin with 'We have produced a new welcome email'. Begin with a prediction that could prove wrong: 'If visitors receive realistic information about the route before they leave home, uncertainty about starting the visit will decrease, and fewer people will need to ask for assistance at arrival.' That is precise enough to investigate.

Choose one primary outcome, such as the share of visitors who find the entrance unaided, the frequency of relevant questions, a pre-specified uncertainty measure or observed behaviour in the first five minutes. Use secondary outcomes to explore the mechanism. When feasible, measure the same meaning before departure and immediately after arrival without leading participants to particular answers.

A randomised comparison between two information variants can strengthen causal inference if the implementation and sample fit the research question. If you compare separate weeks, account for weather, crowds, visitor composition, seasonality and other differences. Define changes in advance. Do not alter the email, staff roster and entrance layout simultaneously if you aim to isolate the effect of one element.

An improvement need not appear in every measure. Expectations may become clearer without a detectable change in visitor behaviour. Visitors may find their way faster without a measurable change in the association 'welcoming'. Or both may improve. Each pattern deserves analysis rather than an automatic success claim.

Monitor unwanted effects as well. Greater predictability may reduce anxiety but remove curiosity if you reveal the entire experience in advance. Exclusive framing can increase perceived value for one audience and discourage another. The aim is not the highest expectation score. It is a relevant, credible and deliverable expectation for the audience you serve.

Privacy matters in visitor research. Participation should be voluntary, data collection proportionate and any neurophysiological or biometric work subject to an appropriate protocol. Be particularly careful when combining individual response measures with transaction or visitor records. Reporting should match the research purpose and the consent provided.

People do not cross a threshold as blank slates. Images, stories, prices, travel information and previous experiences have already given meaning to what is about to happen. That can increase curiosity and confidence, but also doubt and social distance.

The first moment of experience design is therefore not necessarily the first step inside the building. It is the moment someone starts imagining what being there will feel like.

To improve an experience, investigate not only what visitors encounter but also the expectations with which they arrive and where reality confirms, updates or contradicts those expectations.