How do you validate demand before building an AI feature?
Use workflow observation and small experiments to test whether a feature solves a meaningful problem.
How do you validate demand before building an AI feature?
Validation asks whether a proposed capability helps someone enough to justify building it. Positive reactions to a demo are useful feedback, but they are weaker evidence than a person successfully completing a real task.
Observe the current task
Ask potential users to show how they prepare content today. Notice repeated steps, corrections, waiting, and handoffs between tools. Ask about a recent concrete example rather than whether they like AI in general. Record which problems occur often and which are rare inconveniences.
Test the smallest credible alternative
Use a simple prototype or manually assisted workflow to test the proposed improvement. Compare the time and effort needed to reach a usable result, including corrections. Explain where the prototype uses manual work so expectations remain accurate. Decide in advance what would make you continue, revise, or abandon the feature. For example, if creators repeatedly rewrite every generated script, investigate the brief and review experience before adding automatic publishing.
No. Observe whether the feature helps users complete an actual task and whether they would use it again.
Yes, when users understand its limitations and it tests the experience or outcome you are investigating.
A revised assumption, a narrower feature, or a decision to stop investing in that approach.
Related learning resources
Ready to master AI completely?
Want to upskill yourself, crack your next interview, and get your dream job? Join our comprehensive course to dive deeper with high-quality video tutorials, solve interview questions, and a premium community.
Master AI
Want to upskill yourself, crack your next interview, and get your dream job? Join our comprehensive course.