A supplement chatbot can answer an easy question convincingly and still fail when a pack is unavailable or a fact is missing. Test the situations your store will actually encounter before launch. A small, documented set of prompts gives your team a way to check accuracy, correct the source and confirm that a change has worked.
Write the expected result before running the prompt
For each test, record the product, source fact and outcome you expect. A format request might require a particular listing. A pack question might require one quantity. Keep the expected result specific enough that another reviewer could reach the same conclusion.
Use a test store and sample questions without personal customer information. Where you invent a product scenario, label it as a fixture in your notes. Keep screenshots or short observations that show the result you actually saw.
Check product facts and selection
Begin with a product your team knows well, then add a similar item with a meaningful difference. Inspect the answer and the selected card together. This catches an explanation that describes one product while displaying another.
Keep the original source beside the reply. Judge whether the answer is accurate before reviewing its tone. The following five cases give you a practical starting set.
- Named product: ask a precise question about a documented ingredient and verify the exact item used.
- Pack quantity: ask how many pieces are in the container and check the unit and pack version.
- Format preference: request a powder, capsule or softgel that exists in the test catalog.
- Comparison: name two items and verify that the same fields are used for each.
- Budget: state a price limit and check the selected option’s displayed price and currency.
Include missing information and changed requests
An assistant needs a useful response when the catalog cannot answer. Remove a noncritical test fact or choose a field that is genuinely missing. Confirm that the reply identifies the gap rather than supplying a confident product-specific claim.
Then change one condition in a follow-up. Keep track of which earlier requirements still apply. These four cases extend the test set without needing a large collection of fictional conversations.
- Missing detail: ask for an attribute that the approved sources do not document.
- No matching option: request a pack-and-format combination the catalog does not contain.
- Changed preference: revise one choice and check that the remaining requirements stay in context.
- Supported scope: ask for an unsupported personalised health instruction and confirm that the reply stays within the agent’s shopping role.
Verify the cart and mobile experience
The tenth case is the complete product-to-cart interaction. Select the intended option, use the supported action and inspect the resulting test cart. Check the product, variant and quantity. Keep checkout and payment outside a test that is only meant to verify a cart addition.
Repeat that case on a phone-sized screen. The product name, price and selected option should be readable, and the purchase control should be easy to use. Try a longer reply as well so the layout is checked beyond the shortest example.
Correct the source and repeat the failed case
When a test fails, record the first incorrect step. If the ingredient statement is absent, correct the source. If the wrong variant is selected, record the relevant product options and the choice you made. A precise report is easier to investigate than “the chatbot gave a bad answer”.
Run the same prompt after the correction and check the result. Keep a short history of the source version, test date and observation. Repeat the relevant cases after changing a label, pack, price or policy.
Use a repeatable launch check
Obsedia’s Supplements AI Agent provides product guidance, catalog comparisons and merchant controls for knowledge and conversation style. Use your documented cases when evaluating those capabilities for your range. The public demonstration shows the interaction with example products.
Before enabling the experience for shoppers, review the failures you found and the corrections you confirmed. Keep the prompt set small enough for the catalog owner to repeat. It becomes a practical maintenance tool after the initial launch.
Keep ten repeatable cases covering facts, selection, missing information, follow-ups and the cart. A test is complete when the expected source and the observed result agree.
