Put these on your scorecard
- Include a routine order, a multi-item order, a bundle if relevant, and at least one supported exception.
- For each case, record expected and actual SKU, quantity, packaging, destination, inventory movement, and tracking return.
- Illustrative case: a bundle ships correctly, but the component stock does not decrease as expected.

Build a test set from actual operating needs
Include a routine order, a multi-item order, a bundle if relevant, and at least one supported exception. Choose cases from your business rather than inventing difficult tasks you will never use. Provide approved instructions and test data. Agree which environment is being used, who can release orders, and whether the exercise involves physical shipments or a system-only demonstration.
Score the event, not the presentation
For each case, record expected and actual SKU, quantity, packaging, destination, inventory movement, and tracking return. Mark pass, fail, or not tested; do not convert missing evidence into a pass. Keep cosmetic preferences separate from blocking failures. A nicely packed sample cannot compensate for a connector that sends the wrong inventory adjustment after a cancellation.
Repeat the failed path after correction
Illustrative case: a bundle ships correctly, but the component stock does not decrease as expected. Ask the team to identify the cause, apply the correction, and repeat the full bundle case. Testing only the final inventory number may miss the transaction that created it. Preserve the original failure and the retest result so the history remains understandable.
Write a bounded launch decision
A successful small pilot does not prove peak-season capacity. List what it established, what it did not test, and the monitoring needed during the first live orders. You might approve a limited launch while holding back a complex channel. Assign an owner to the early-life review and define the conditions under which the rollout pauses. That makes the pilot useful as a release decision.
Record the result
- Define expected results before running the test.
- Use pass, fail, and not-tested states.
- Retest the complete failing workflow after a correction.
A couple of questions
How many test orders are enough?
Cover the meaningful workflow variations first; the appropriate size depends on complexity and risk.
Can a pilot prove future service quality?
It provides bounded evidence about tested cases, not a guarantee of all future performance.
Reference and scope
Shopify: fulfilling orders — Background on fulfillment workflows and working with fulfillment services.
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