How to test an AI chatbot before launch

Testing an AI chatbot before launch means testing a shopping journey, not merely checking whether it produces grammatical sentences. The plan needs to cover questions, products, interface behavior, errors, and situations where the available information is insufficient.

Define what it must do

Start with observable tasks. Should the chatbot find a product from a descriptive request, compare alternatives, answer questions about materials and variants, or explain a store policy? For each task, define which source it may use and what an acceptable result looks like.

Valen lets shoppers search the catalog and ask product questions through conversation. It can show recommendations while keeping the catalog available for browsing. Test these capabilities together: a useful answer should not prevent the shopper from continuing to explore.

Prepare realistic scenarios

Build a set that reflects customer language. Include short requests, long descriptions, misspellings, terms absent from product pages, and follow-up questions that depend on an earlier answer. Add requests with no suitable result and prompts outside the intended scope.

For every scenario, record the intent, required data, plausible products, prohibited information, and expected behavior when the answer is uncertain. Do not require one fixed sentence. Assess correctness, relevance, clarity, and whether the response helps the decision move forward.

Verify catalog data and updates

Use simple and complex products, available and unavailable variants, nearly identical items, and incomplete pages. Check that prices, availability, and attributes are not mixed between products. Then change a value in a test environment and verify that the update flow behaves as expected.

Test the experience on the site

The chatbot should be tested on an actual page, not only in a console. Valen integrates its experience into the Shopify theme. Its chat is available on desktop and mobile. Test opening, readability, the on-screen keyboard, scrolling, returning to the catalog, and continuity between pages on relevant devices.

Also inspect slow connections, repeated messages, back navigation, and interrupted sessions. The chatbot should not cover essential controls or leave the shopper without a way to continue through the site.

Involve different roles

Catalog, support, and merchandising teams notice different failures. Ask people who did not write the configuration to run the scenarios; they are more likely to use unexpected words and paths. Classify findings by severity and cause, separating bad source data, unclear answers, irrelevant results, and interface defects.

Where Valen fits

A response-only test misses the central limitation: conversation may work while the storefront journey breaks. Testing therefore needs scenarios that combine a question, a recommendation, and navigation on the actual page. Valen lets shoppers search the catalog and ask product questions, as demonstrated on a demo store. It offers recommendations while keeping the catalog browsable, as demonstrated on a demo store. It integrates into the Shopify theme, as demonstrated on a demo store. Valen should therefore be tested as a storefront experience rather than an isolated chat; the merchant still needs to define release gates against its own catalog.

Set release criteria

Before launch, decide which failures block publication. Fabricated commercial information, wrong products, and unusable interfaces deserve stricter treatment than a merely wordy response. Keep the test set and run it again after changes to the catalog or experience.

Book a demo to run these scenarios against your catalog and evaluate the complete journey.