Well-written content that misleads the buyer

A description that is easy to approve

Consider this short description for an artists’ paint product page:

The product is named, the contents are clear, and the text answers questions about surfaces, thinning and drying. There are no extravagant adjectives or cumbersome sentences. Judged on presentation alone, it gives little cause for serious concern.

The conditions in the original dossier are more precise.

“Alfa” (Альфа) and all the characteristics in this example are fictional. The dossier defines the starting conditions of an editorial exercise; its information must not be applied to real paints.

The review reveals three changes. Each works differently, so a single instruction to “make the text more accurate” is of limited use. First, we need to identify exactly what has happened to the meaning.

What was lost between the dossier and the product page

A prepared surface became just a surface

Before: “for primed canvas”.
After: “for canvas”.

The condition defined the scope of use. A buyer with unprimed canvas can no longer see that their situation needs separate clarification. Yet we have no basis for writing “the paint is unsuitable for unprimed canvas” either: the dossier contains no such prohibition.

An accurate revision retains the supported condition: “for primed canvas”. It leaves the question of other surface preparations open.

The context of the product page matters. If the condition is clearly stated nearby, in an accessible specifications field, a shortened phrase may sometimes be acceptable. That decision requires a review of the whole page. When reviewing a description on its own, we cannot rely on an explanation elsewhere that we cannot see.

A result under specified conditions became a general promise

Before: “a thin layer at +20 °C — 30 minutes”.
After: “dry in 30 minutes”.

The number was copied correctly, and the unit of time was retained. What changed was what the value referred to. In the source, it describes a thin layer at a particular temperature; the finished phrase reads as a property of any use.

The dossier does not let us calculate drying time for a thick layer or another temperature. Nor does it justify replacing drying with full curing. The answer “30 minutes” is useful only alongside the conditions under which it was obtained.

The number check passes. The check of the claim’s scope of applicability does not.

Washing brushes became a property of the paint

Before: “rinse brushes with water before the paint dries”.
After: “the paints wash off easily after use”.

The new phrase identifies neither the object being cleaned nor the state of the paint. It could be read as a promise that paint is easy to remove from hands, clothing or a finished painting. The text does not tell us which meaning the author intended.

“Easily” adds a further judgement absent from the dossier. Even if some buyers read the sentence as advice on brush care, that interpretation does not restore the missing condition “before the paint dries”.

We have not proved that the paint cannot be washed off other surfaces. We have established something narrower: the available information is insufficient to support the published promise. That is enough for an editorial decision — the phrase needs clarification.

Individual claims need to be checked

A single paragraph can contain an accurate volume, an unsupported promise and an ambiguous instruction. An overall score for the paragraph does not identify the phrase that needs correction. For a substantive review, it is more useful to identify claims: pieces of product information that can each be compared with supporting evidence.

“Six tubes of 20 ml” is stated directly in the dossier. “120 ml in total” follows from a straightforward calculation. “Enough for ten paintings” would require information about area, coverage and application method. All three phrases concern the amount of paint, but their grounds differ.

The evidence for each claim can be recorded separately:

The status “no data” is particularly easy to lose during automated processing. If a system requires a “yes” or “no” answer to every question, it forces certainty where none yet exists. The content preparation process needs a separate place for this state.

Having a source does not complete the review either. Instructions for another variant or an old formulation may contain highly precise information that does not apply to the current product. The model identifier and document version should therefore be retained alongside the evidence.

Why routine checks miss this kind of error

Every check has an object. Counting characters checks length. Searching for a required phrase checks its presence. Spellchecking checks how words are written. Passing any of these checks does not establish whether a promise is reliable.

An automated process also checks format: whether the required fields are present, value types are permitted and the structure is correct. The JSON Schema guide distinguishes structural constraints from semantic validation of complex requirements. For a product page, this means that a correctly formatted description field still needs to be compared with product data.

Even checking for words can create a false sense of completeness. The description contains “water”, “canvas” and “30 minutes”. The topics appear to be covered. Yet water refers to several different actions, canvas has lost its qualification, and time has lost its conditions. The presence of words does not reveal the relationships established between them.

It is therefore more useful to ask a model-based evaluator to find unsupported claims and identify the source of each discrepancy than to score a text out of ten. Its judgement still needs checking: the evaluator may overlook a missing condition or attribute a rule to the dossier that is not there.

This places a requirement on the review system itself. Each comment should make clear which passage was checked, what it was compared with and what needs to change. “Low accuracy” does not enable an editor to correct the text or determine whether the reviewer was wrong.

A correct fact does not necessarily make an answer sufficient

Suppose all three inaccurate phrases have been corrected. The next question is whether the product page helps the buyer accomplish their task.

“Thinning with water is permitted” accurately answers the question of which thinner to use. For “how much water should I add?”, it is only a partial answer. It cannot count as full coverage of thinning, even though it contains no factual error.

The reverse also happens: a value is present, but what it measures is unclear. In Baymard’s usability research, a participant encountered two sets of chair dimensions without adequate labels and had to guess which part of the chair they described. The numbers were there; their connection to the object was unclear.

It is useful to keep four questions separate: is the claim correct, does it address the task, can it be understood unambiguously, and is the relevant information easy to find? Each calls for a different correction. Another paragraph will not fix a wrong number, and a correct number will not help if a buyer mistakes packaging dimensions for product dimensions.

Google’s guidance on helpful content also treats completeness, factual errors, confidence in sources and presentation as separate questions. These are guidelines for web content, without a ready-made formula for scoring an individual product page.

Otherwise, strengths elsewhere will offset a false promise in the average score. In practice, it is better to check publication requirements first, then assess how effectively the supported information has been used.

A revision supported by evidence

The essential relationships can be restored in the description of the “Alfa” set while keeping it concise:

The buyer sees the permitted surfaces and receives a specific instruction for caring for the tools. Drying time remains a useful guide with clear conditions. No invented water ratio has been added.

This revision is sufficient for the passage shown, but it does not constitute a full review of the product page. The product name and contents shown in images, attributes, variant and publication requirements still need checking. If use on fabric materially affects buyers’ choices, the data question will need to be referred for clarification. The full path from dossier to text approval is covered separately using the T500 travel mug.

“The paints can be thinned with water” must not expand into “you do not need to buy anything else”. The first states a permitted thinning method. The second covers brushes, painting surfaces and other accessories that the contents list cannot establish. Even a good explanation of a benefit must be checked for new claims.

The appeal here can come from a clear account of use: which surfaces to choose, what the set contains and how to finish the work. If information on the palette, consistency or tube design becomes available later, it can support a more expressive description. Those details are currently absent from the dossier.

How to test your own procedure

A content preparation service can be tested on a small collection of cases like these. A few source documents and specially prepared descriptions with known discrepancies are enough to begin. The sample must include correct descriptions too; otherwise, you cannot find out how often the reviewer wrongly rejects supported phrases. Every comment should be accompanied by the passage and its evidence.

One detected omission can refute the hypothesis “the editor retained all essential conditions”. Accepting a few correct examples provides no such guarantee. The set therefore needs difficult cases too: a condition in the neighbouring sentence, several product variants, conflicting documents and unknown compatibility.

The “Alfa” review can be divided into three tasks:

1. Retention check. Find every essential condition from the dossier in the description: primed canvas, a thin layer, +20 °C, and rinsing brushes with water immediately after use and before the paint dries. If a condition has moved to another field, check that it remains accessible and linked to the claim.
2. Addition check. List promises absent from the dossier, including evaluative words. For each, establish whether it follows from the data or needs separate confirmation.
3. Comprehension check. Ask a reader to determine whether the thinning ratio is known and whether the page lets them judge if a dried painting can be washed off. Record their answer and the passage they relied on.

The last task tests comprehension among the selected participants. Drawing conclusions about purchases requires different data and a separate experiment. Even fully supported text can leave commercially important questions unanswered when the source information is incomplete.

The “Alfa” analysis takes the dossier as its starting point. In practice, the dossier itself needs checking: which SKU the instructions cover, where the contents information came from and whether the recommendations have changed. Otherwise, a carefully written description will reproduce an error in the source data.