Understand the consequence of a wrong answer.
Describe the decision a user is trying to make and what happens if the product is wrong, incomplete, or unavailable. The answer should influence the scope of the first release and the amount of human review the experience requires.
Keep the difference between a suggestion and an action clear. Users should understand when they are reviewing a draft, approving a decision, or triggering a change in another system.
Make the information behind the result understandable.
Consider what context a user needs to evaluate an output. That may include the source material, assumptions, date, or limitations of the result. Explain what happens when information is missing or the product cannot answer reliably.
For enterprise use, understand who is allowed to access the underlying information. A convincing demonstration should lead to questions about permissions, operating responsibilities, and the workflow around the model.
Plan how the team will learn from failure.
Choose representative examples, including difficult and incomplete inputs, and record what a useful response looks like. Decide who reviews unexpected results and how product changes will be assessed.
Ooventive’s investment perspective considers the customer workflow alongside the technology. A product that fits the way people evaluate and act on information has a clearer basis for a meaningful adoption conversation.