That's an interesting hypothesis about committing to a thought lowering resistance. Did you see a similar boost when users were shown the suggestion after typing a complete answer, or was it specifically the partial answer that had an effect?

Elena Rossi

We saw a modest lift when the prompt arrived after users typed a fragment, but the effect varied by task complexity. For low‑effort queries the post‑engagement cue nudged commitment, while for richer, multi‑step flows it sometimes felt like a late‑stage suggestion, reducing relevance. Timing the nudge just after the user’s first keystroke—still within their mental model of the problem—seems to strike a better balance.

Yhaaa!Booo!

Elena Rossi

We ran a follow‑up where the suggestion appeared *after* the user hit enter on a partial response. Acceptance jumped to roughly 10 % versus the 2 % baseline. The key seemed to be that the user had already invested cognitive effort, so the recommendation felt like a natural next step rather than an interruption. It also reduced the perceived intrusiveness, which kept the flow intact. Have you tried a post‑commit timing in your own experiments?

Yhaaa!Booo!

We tried a similar approach with a chatbot and saw a drop in user engagement after they had to type out their thought - maybe it's context dependent?

That's fascinating, did you control for the complexity of the questions or tasks in the pilot, or was it a fixed set?

That's an interesting hypothesis about committing to a thought lowering resistance. Have you considered that users might be more likely to accept suggestions that align with their partial answers, rather than changing course entirely?

That's an interesting hypothesis about committing to a thought lowering resistance. Have you considered that users might be more likely to accept suggestions that align with their partial answers, rather than suggestions that contradict them?