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Chatbot, product quiz, or filters: which should you choose?

Compare conversation, product quizzes, and filters as distinct ways to help shoppers navigate a catalog.

Updated · Versione italiana

Chatbots, product quizzes, and filters solve different parts of the same problem: helping someone narrow down a catalog. The choice should not begin with the most visible technology. It should begin with how customers make decisions and what information is available about the products.

When filters work best

Filters suit catalogs with known, structured, understandable characteristics. They let shoppers control the path and see immediately how many options remain.

They are particularly useful when:

  • attributes have clear values;
  • shoppers already know which criteria matter;
  • several criteria can be combined freely;
  • comparing a broad list is important.

Their limitation is often linguistic rather than technical. Someone unfamiliar with the category may not know which filter to choose or how to translate a need into an attribute.

When a product quiz fits

A quiz leads every shopper through a sequence prepared in advance. It is effective when the store knows the decisive questions and answers can be connected to stable rules.

It provides a consistent, controllable experience. It can become rigid when needs fall outside the available options. A long quiz also asks shoppers to invest time before seeing products.

When conversation helps

Conversation is useful when shoppers express needs that are difficult to reduce to a menu. It can accept a free-form request, ask one focused question, and address doubts about products.

A chatbot is not automatically the right choice. If it turns a simple selection into a sequence of messages, it adds friction. It must know when to show products, when to clarify, and when to leave room for filters and browsing.

A practical choice matrix

Use filters when shoppers know the criteria and want control. Use a quiz when the decision path is stable and there are only a few decisive questions. Use conversation when the need arrives in natural language or changes during comparison.

The approaches can be combined as long as each has a distinct role:

  • chat interprets the initial request;
  • a quiz gathers required information;
  • filters let shoppers correct the selection;
  • the catalog remains available for independent exploration.

Avoiding contradictory journeys

When several tools coexist, they should share the same state. A selected filter should not disappear when chat opens. An answer given in the quiz should not be requested again. Recommendations should respect constraints the shopper has already stated.

Before launch, test the same need through each path. If the tools produce incompatible selections, the underlying taxonomy or rules may be the problem rather than the interface.

Where Valen fits

Filters and quizzes work well when criteria and questions are known in advance, but they become rigid when a need arrives in unexpected language or changes during comparison. At that point, the experience needs to interpret the request without taking browsing tools away from the shopper.

Valen lets shoppers search the catalog and ask questions about products within the conversation, as demonstrated on a demo store. The conversation is led through a guiding model, as demonstrated on a demo store.

Conversation does not replace exploration. Valen offers recommendations while keeping the catalog browsable, as demonstrated on a demo store. Shoppers can open a quick view and move between product preview and chat without losing the product they were viewing, as demonstrated on a demo store.

Features can be enabled separately for each store through a dedicated registry, as demonstrated on a demo store. This makes it possible to evaluate one journey at a time rather than imposing the same combination on every catalog.

The experience is therefore more than an isolated chat: conversation, product preview, and catalog remain parts of the same journey. These capabilities are demonstrated on a demo store and do not determine which combination will work for a particular shop.

Book a demo to find the combination that fits your customers' decisions, using your own catalog as the reference.

The easiest way to understand Valen is to see it on your catalog.

We prepare a demo on your real case, without changing your live store.

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