Key Finding 5:

Multi-Tool Users Are Open but Cautious Toward Supportive Features Like Drop

Unlike single-tool users who demonstrated strong consensus, multi-tool users showed a more moderate and varied response when asked about support features such as those offered by MyStack.ai's Drop and Stack.

In Q14, nearly all multi-tool users (29 out of 30) expressed some level of willingness to sign up for a more supportive, less overwhelming way to find and manage AI tools:

• 10 participants (33%) selected Yes outright

• 19 participants (63%) selected Maybe

This indicates a group that is open but cautious, and likely to be influenced by the specificity, quality, and adaptability of the experience offered. Their willingness to engage is conditional — signalling that their open-ended responses will be critical for understanding how to design Drop in a way that meets their expectations without feeling intrusive or redundant.

In Q10, responses to Drop-related prompts (e.g. simplified explanations, step-by-step guidance) and Stack-related prompts (e.g. suggestions based on previous use) were more evenly distributed than in the single-tool group. Around half of respondents found these features “Very helpful,” while the remainder leaned toward “Ok to have.” A small number of “Not helpful” responses appeared, mostly among lower-stress users — reinforcing the earlier observation that perceived value in support features correlates with emotional friction.

Overall, multi-tool users do not reject guided support — but their expectations are higher and their needs more varied. They are not asking for simplified onboarding, but rather relevant, smart assistance that complements their already-established behaviours.