Product StrategyEmerging Pattern

Add intentional friction to AI output to increase user engagement and conversion

Q: How many founders have validated "add intentional friction to ai output to increase user engagement and conversion"?

1 founder has proven this pattern works. Examples include David Park (Jenni AI).

Counterintuitively, adding deliberate delays or friction before showing AI-generated suggestions forces users to engage more actively with the content. This prevents passive acceptance of AI text and makes users feel like active participants in the writing process, which increases both quality and conversion rates.

When to use

When building AI-assisted creation tools where user engagement with the output matters for quality or learning outcomes

Don't do this

Making AI suggestions instant and frictionless, which leads users to passively accept everything without reading

1 Founder Who Did This

Jenni AIby David Park

Added intentional lag before AI autocomplete suggestions appeared, forcing users to read and consider the AI output rather than passively accepting it.

Result:Increased conversion rates by making users active participants. Less than 30% of exported documents contain AI-generated text - their proudest metric.

See Jenni AI growth story →