Illustrative product capability
Make an AI feature answer a product need.
Start with the user’s task, then assess whether an AI feature helps within clear product and operating limits.
Who may benefit from exploring it
Product teams considering a new AI-enabled capability or revisiting search, information entry or support in an existing product.
Product questions to examine
- Does the feature help users complete a task they already value?
- Can the interaction make uncertainty, sources and recovery options clear?
- Will the feature fit the product’s data, architecture, cost and support model?
Illustrative applications
- Search that understands natural-language queries across product content.
- A language interface that helps users work with a defined set of product actions.
- A focused AI-enabled MVP used to evaluate one product assumption.
Evaluate the whole interaction
Product discovery identifies the user task and the point where assistance may help. A focused prototype can explore the interaction and technical constraints. Engineering then considers integration, evaluation, failure handling and ongoing ownership as part of the agreed scope.
Useful project outputs
- A user task and feature boundary that can be evaluated.
- A prototype or integrated feature with agreed behaviour and failure paths.
- Evaluation findings and technical considerations for further product work.