Introduction
We design wine lists with the product in mind. Appellations, grapes, vintages. But we rarely stop to consider how the person looking at the list sees it.
Customers have different knowledge, interests and decision times. The list should be useful both to people who know grapes and regions and to those who prefer brief guidance.
What they do have is a need: to choose a wine they like, that goes well with their food and does not leave them feeling they have made a mistake.
Observing how your customers choose can guide wine-list improvements; it does not by itself demonstrate a sales increase.
1. How customers decide
The stages below are an observation framework for reviewing the list, not a universal psychological pattern or demonstrated average timings:
First scan: orientation Observe whether customers find clear sections, whites and reds. An unclear structure may make orientation harder, without necessarily causing anxiety.
Second scan: price filter Check how customers use prices. For example, someone may set a budget of 25 to 40 euros; not everyone follows that order or rules out the rest of the list in the same way.
Third scan: seeking reassurance Within their price range, they look for something they recognise: a familiar appellation, a grape they have heard of, a restaurant recommendation. Something that reassures them they will not make a mistake.
Final decision They may choose something familiar, explore, ask for help or decide not to drink wine. Check actual decisions without attributing a particular choice to every customer.
What to observe: whether customers find categories, prices and help easily. No universal duration or sales loss per second has been quantified for this article.
2. The fear of making a mistake
Uncertainty may influence some people's choices; it cannot be assumed to be the dominant factor for every customer.
Diners are afraid of:
- Ordering a wine they dislike, and having spent €30 on something they will not enjoy
- Choosing something that does not go well with their food, and the table noticing
- Looking as though they do not know, ordering something "wrong" in front of their companions
- Spending too much on something not worth it, or too little and looking stingy
These concerns can be understandable and vary from person to person; they do not fully determine the decision.
What do customers do when they fear making a mistake?
They look for reassurance:
- A restaurant recommendation: "Sommelier's selection"
- A description that helps them anticipate the flavour
- A price in the list's "safe" zone
- Validation from the waiter
The absence of these signals may merit a review, but does not establish that fear determines the decision or which wine someone will choose. Respect the choice not to drink wine too.
3. The tendency to choose the cheapest wine
This article provides no evidence that the second-cheapest wine is almost always the best seller. Check which positions your customers choose using actual sales, without turning that hypothesis into a rule.
One hypothesis you can test with your customers is:
- "I do not want the cheapest because I will look stingy"
- "I do not want to spend too much because I do not know whether it will be worth it"
- "The second cheapest seems like a reasonable option"
This has direct implications for your business:
If a wine has a low margin, review its contribution using actual sales and costs; a low margin does not automatically mean a loss or prove that it is the best seller. Arithmetic examples, not observed results: a cost of €4 and a price of €16 leave €12 before other costs; a cost of €5 and a price of €22 leave €17, using the same tax basis. Demand, wastage and other costs are missing for a comparison of profit or perceived value.
The solution is not to raise the cheapest wine's price. It is to design the entry-level band strategically:
- The cheapest wine should be decent, but not your best option
- The second and third should offer real value within the customer's budget
- Prices should rise gradually, without abrupt jumps
- Each price step should offer a perceptible improvement
4. The importance of recommendations
A recommendation allows three aspects to be studied, without assuming they will change:
- Uncertainty may be reduced, because someone with authority has said it is a good choice
- Choice and spend may change, and must be measured; a recommendation can also mean suggesting a lower-priced option
- Satisfaction must be checked, not assumed; ask whether the recommendation suited the customer's tastes and budget
Personal recommendation capacity depends on training, available staff and service volume. Review where the team needs support, without claiming that this process cannot scale.
Complementary aids you can assess:
- Highlights on the list: mark 4-5 wines as "Sommelier's recommendation" with a sentence of context
- Suggested pairings: beside each dish, indicate which wine goes best
- Digital list with a recommendation tool: customers answer 2-3 questions and receive personalised suggestions
- Decision-oriented descriptions: instead of "Tempranillo 100%, 12 months in barrel", write "Soft, fruity red, ideal with pasta and mild meat dishes"
What to check: compare recommendations across equivalent periods or tests, considering price, availability and demand. This article provides no demonstrated sales increase from highlighting a wine.
5. Clarity on the wine list
Clarity is something to review with users. This article does not demonstrate that it is the factor with the greatest impact on conversion.
A clear list helps answer three questions, without imposing a universal time limit:
- What types of wine are there? → Visible, understandable categories
- Which will I like? → Descriptions by style, not technical data
- Which dish does it go with? → Suggested pairings
The most common clarity mistakes:
- Organising only by appellation: some people may need style guidance alongside names such as Bierzo or Jumilla; others already know them
- Using technical terminology: "coupage", "malolactic", "limestone soils" may need an accessible explanation depending on the customer's knowledge
- Not visually distinguishing sections: everything looks like an endless list
- Hiding prices, or placing them in a separate column that makes comparison harder
- Not including descriptions: just name, winery and price, without any guidance
What works:
- Style categories: "Fresh whites", "Soft reds", "Intense reds"
- Descriptions of 1-2 lines about flavour and occasion
- Prices integrated next to the name, easy to compare
- Simple icons for intensity, body or pairing type
- Visual space between sections to make navigation easier
Conclusion: design for the customer, not the sommelier
The perfect wine list is not the one with the best wines. It is the one that helps customers find the right wine in the shortest possible time.
5 principles for designing lists that help customers decide:
- Clear structure: customers should be able to find their way easily
- Reassurance signals: recommendations, pairings, descriptions
- Strategic price band: offer value and understandable prices, without assuming which position will sell most
- Customer language: how it tastes, what it goes with, why choose it
- Less is more: compare clarity and structure, without promising that 50 wines will sell more than 150
The list should help customers choose according to their tastes and budget. Offer guidance without pressuring them to drink wine, and respect other drinks or the decision not to order.