CommerceSomeone buying most of their things online

When I am about to buy something I have never seen, I want to know it matches its description, so I do not face a return or settle for something second-rate.

Khi tôi định mua một món chưa từng thấy tận mắt, tôi muốn biết nó có đúng như mô tả không, để không phải mất công trả lại hoặc chấp nhận dùng tạm.

Job context

Who
Someone buying online
When
Just before placing the order
Trigger
An item arriving unlike its photograph
Situation
Every piece of information is created by the seller
Constraints
Cannot touch it, try it, or hold it beside another

5 Pains

  • Photographs do not reflect the product

    High

    Colour, size and material can all differ.

    Root cause: Photographs are chosen and edited by the seller

  • Reviews may be fabricated

    High

    And fake reviews are better written than real ones.

    Root cause: Good reviews raise sales, so they are worth buying

  • The same item sells at different prices in many places

    High

    With no way to know which is genuine.

    Root cause: There is no way to verify an item's provenance

  • Sizes mean different things in different places

    Medium

    One brand's large is another's medium.

    Root cause: There is no shared sizing standard

  • Returning costs effort and money

    Medium

    So people often keep the wrong thing.

    Root cause: Return friction is designed so buyers do not bother

5 Desired Outcomes

  • See the item as it actually is

    Functional
  • Tell real reviews from fake

    Functional
  • Know they are buying the genuine item

    Functional
  • Get the size right first time

    Functional
  • Return it easily if it is wrong

    Functional

5 Existing Solutions

A solution is not the same thing as a product, a customer can hire a behaviour or a workaround too.

  • Read reviews with buyer photographs

    Behaviour

    The closest to the truth, and those photographs can be paid for too.

  • Buy only from official storefronts

    Behaviour

    Reduces the counterfeit risk at a noticeably higher price.

  • Order two sizes and return one

    Workaround

    Solves sizing by pushing the cost into shipping.

  • Look in a shop and buy online

    Behaviour

    The most reliable method, usable only for goods sold in shops.

  • Choose sellers with free returns

    Product

    Removes the risk, at a price that already includes it.

2 Opportunity Gaps

  • Good reviews raise sales, so they carry commercial value and are therefore traded, while an honest review benefits nobody at all.

    Why existing solutions fail: Platforms benefit from high scores because they raise purchases, so cleaning up fake reviews is always done just enough to look credible and never enough to reduce their own sales.

    Potential opportunity: Accepting reviews only from verified orders and displaying them over time, so a purchased batch shows up as an anomalous cluster.

  • No shared sizing standard exists, so the number on a product carries no information beyond one brand.

    Why existing solutions fail: A shared standard would make every brand directly comparable, and each prefers its own measurements, so the cost of having no standard falls entirely on buyers as returns.

    Potential opportunity: Publishing real measurements in centimetres rather than letters, so buyers can compare against something they own.