Review criteria that tell visitors more than one star

Show only an overall star rating and your directory tells a visitor that a place is good or bad, and nothing about why. Criteria-based ratings fix that. Each review carries a few separate scores, such as food, service and value for a restaurant, and the listing page shows an average for each one. In Listora the mechanics live in the free plugin, and the owner-facing setup and the breakdown chart come with Pro. Which criteria to pick is the more useful question for you.

Choosing them is a business decision, not a technical one. The criteria you ask for decide what your visitors learn, what reviewers feel qualified to judge, and what a business owner sees when they read their own page. This post walks through how the feature behaves, where the Free and Pro line sits, and how to choose criteria that a real person can answer in ten seconds.

What one star average hides

Consider two restaurants that both average 4.2 stars. One has superb food and slow, distracted service. Ordinary food and a staff everyone loves describe the other. Anyone grabbing a quick lunch wants the second place; an anniversary dinner calls for the first. No single number can separate them, and the visitor ends up reading reviews one by one to work it out.

Doing that reading is your directory’s job. When the listing page shows Food 4.8, Service 3.1, Value 4.0, the visitor decides in a glance, and the reviews underneath become supporting evidence instead of the only evidence.

Owners rarely expect the second benefit. Businesses get something specific to act on. “Service 3.1” is a staffing conversation. “3.8 stars” is a shrug. Hand useful feedback back to the businesses in your directory and you give them a reason to claim their listing and keep it current.

One limit is worth stating early: criteria add detail, they do not replace the overall rating. Every Listora review still asks for one overall star, and the criteria sit alongside it as optional extras. Overall stars alone produce the headline average on a listing. Averages per criterion are separate numbers that explain it.

What Free does, and what Pro adds

Where the line falls is easy to misread, so here it is in plain terms.

Free plugin:

• The review form shows a “Rate each aspect” block with one five-star row per criterion, whenever the listing’s type has criteria.
• Each published review shows its criterion stars under the review text.
• The reviews API accepts a criteria rating for each criterion and keeps only those that belong to the listing’s type, so a stray value cannot slip in.
• Developers can supply a type’s criteria in code with the wb_listora_review_criteria filter.

Pro:

• A Review criteria card in the listing type editor, where you add your own criteria. Each one has a short key and a visible label.
• Ready-made criteria sets for restaurants, hotels and healthcare, and a three-criterion default for every other type.
• A Ratings Breakdown on the listing page: one bar and one average for each criterion.
• Criteria averages in the listing data that the API returns.

Put simply, the free plugin can collect and display criteria, but a site with only Free has no screen for choosing them. Setting criteria from wp-admin and showing the bar chart both need Listora Pro. Every difference is on the Free vs Pro page. Pro also includes photo reviews, a separate toggle that starts switched off, so you decide whether to turn it on.

Multi-criteria reviews are a Pro feature toggle that defaults to on, so with Pro active the preset criteria appear with no setup. Seeing them first is a good way to judge whether you need your own.

The ready-made sets

If you do nothing, Pro supplies criteria by listing type. These are the exact sets in the code:

• Restaurant: Food, Service, Ambiance, Value.
• Hotel: Rooms, Cleanliness, Service, Location, Value.
• Healthcare: Expertise, Bedside Manner, Wait Time, Staff.
• Any other type: Quality, Service, Value for Money.

Sensible starting points, these sets suit a general business directory well. Still, they were written for generic cases. Your niche almost certainly has a better question than “Quality”.

Save your own criteria on a type and yours replace the preset for that type entirely. Pro treats anything you have configured as authoritative and only falls back to its presets for types you have left empty, so you never end up with a hybrid of both.

Choosing criteria like a product owner

Deciding what to ask is the hard part. Several principles keep the list useful.

Ask about things a visitor can judge after one visit. Customers write these reviews, not inspectors. “Food” and “Service” work because everyone who ate there has an opinion. “Kitchen hygiene” does not, because most diners never saw the kitchen, and the scores will be guesses.

Keep each criterion distinct from the others. Should two criteria almost always get the same score, drop one. Overlap wastes a row and teaches visitors nothing new.

Fit the number to the effort. Every reviewer is doing you a favour. Every extra row is another reason to close the tab. Presets run from three to five criteria. Because the criteria rows are optional on the form, a short list also gets filled in more often than a long one.

Use the words your visitors use. Coworking directories should ask about Wi-Fi and Noise, not “Connectivity” and “Acoustics”. Visitors read the label, so write it the way they would say it.

Choose per type, not for the whole site. Each set belongs to a listing type, so a directory that mixes restaurants and gyms can ask different questions of each. That is the reason to define types carefully before you worry about reviews at all.

Two directories, worked through

Neither of these is a real site; both are invented for illustration.

A local coworking directory. The owner lists spaces, and visitors are freelancers choosing where to work for a day. Overall stars say whether a space is pleasant, while criteria should say whether it will work. Four rows replace the default:

• Wi-Fi
• Noise
• Seating
• Coffee

One freelancer with a call at two o’clock now sees Noise 2.9 and moves on, without opening a single review. Someone who needs to focus all day sees Seating 4.7 and stays. Same listing, different decisions, and the owner has done nothing but pick four words.

A directory of independent dentists. Pro’s healthcare set already fits well: Expertise, Bedside Manner, Wait Time, Staff. This owner might keep it as it is. Leaving things alone is the skill here, since replacing a preset that matches your niche only adds work.

What the visitor sees, and what the owner controls

On the listing page, a Ratings Breakdown appears in the sidebar once at least one approved review includes criteria scores. Each criterion gets a label, a bar scaled out of five, and an average to one decimal place.

Two details of how the averages work are worth knowing:

• Only approved reviews count. Pending or rejected reviews are left out, so a review you have not approved cannot move a number.
• Each criterion averages only the reviews that rated it. Since the rows are optional, a criterion rated by six of ten reviewers is averaged over those six, not diluted by four blanks.

Credible listings do not get a bar chart on day one. Nothing shows until criteria scores exist, so seed the first few reviews through your own testing or early customers before you promote the page.

Moderation sits underneath all of this. The review settings let you choose whether reviews publish immediately or wait for approval, and nobody can review their own listing or leave a second review on one they have already rated. Those rules protect the numbers, which matters more when the numbers are broken out by aspect.

Changing criteria later without losing history

Renaming or retiring a criterion is inevitable sooner or later. The behaviour is safe, but it helps to know how it works.

Ratings are stored by each criterion’s key, not by its label. That has three practical consequences.

1. Renaming a label is harmless. Change “Value” to “Value for money” and every past score appears under the new wording, because labels are looked up when the page renders.
2. Changing a key splits history. If you change value to price, old scores stay under the old key and new ones accumulate under the new one. Decide your keys carefully at the start and leave them alone.
3. Removing a criterion hides it from individual reviews. Each review shows only criteria the type still has. The stored score is not erased, but it stops appearing next to the review text, and the listing breakdown keeps showing it under a label made from the old key.

Sensible practice: change labels freely, treat keys as permanent, and add a criterion rather than reshaping an existing one. New criteria start empty, so their averages build up from the day you add them.

Criteria and written reviews work together

Criteria do not make the written review obsolete. They change what it is for. Stars answer “how did it go on each count”; the text answers “what happened”. Visitors who care about one aspect jump to the breakdown, then read the reviews that mention it.

Listora keeps the written part in the picture. Expect the review form to ask for an overall star, a title and some text, with a minimum text length. Twenty characters is the default, and the review settings change it. Setting it to zero allows rating-only reviews, which suits a site where you want the highest number of scores and care less about prose.

Think about which of those two goals your directory has. A niche directory with a small, engaged audience usually wants the words, because a paragraph from a regular is worth more than a dozen bare scores. Busy local directories with many listings and few writers may prefer to lower the barrier, since some data on every listing beats a few essays on a handful.

Visitors can also sort a listing’s reviews, including by how helpful other readers found them, so the best written reviews can rise above the rest. Criteria stars then act as context for each review, not as a replacement for what the reviewer said.

When criteria help less

Breakdown bars appear as soon as one approved review carries criteria scores. There is no minimum number of reviews before they show. On a young directory, then, a bar can represent a single person’s afternoon, and a visitor reading “Service 2.0” has no way to know it is one voice.

Think about that when you launch. Directories with a handful of reviews per listing may be better served by a short criteria list, so each bar fills with more than one opinion sooner. Fewer rows also means fewer partial answers, and the averages settle quicker.

Some types suit criteria better than others. Restaurants, hotels and clinics have several things a visitor cares about independently. Single-product listings and classified ads have one question: was the transaction fine? For those, the overall star may be all you need, and you can leave the type without criteria rather than inventing aspects nobody asked about.

Think, too, about what the numbers will mean to the businesses behind them. Low Wait Time averages are awkward for a clinic, but it is also exactly the kind of fact a healthy directory should surface. Decide in advance how you will respond when a business objects, perhaps by pointing to the moderation rules you set, so the criteria do not become a source of disputes you have not planned for.

Setting it up

With Pro, the path is short. Open your listing type in the type editor, find the Review criteria card, and add a row for each aspect, giving each a short key and a label. Save the type. Whoever opens the review form next on a listing of that type sees your rows.

For the visitor side in more detail, see the multi-criteria reviews guide. Test with a throwaway account, since nobody can review their own listing: submit a review on someone else’s entry, give it criteria scores, approve it, and check the breakdown on the listing page.

Reviews are one part of a directory’s credibility; listings that stay accurate are the other, covered in keeping directory listings fresh and trustworthy, and in letting business owners claim their listings, so the people who read their own reviews are the people who can answer them.

Begin with the question your visitors are really asking, “will this be right for me?”, and pick criteria that answer it. Popularity is what one star average measures. Whether a place suits the person looking is what well-chosen criteria measure.