Takeaway: 10 Key Findings
1
High Daily Usage and Tool Diversity Among Professionals
Professionals rely heavily on AI tools daily, with balanced single- and multi-tool habits.
2
Single-Tool Users Report Higher Levels of Overwhelm in AI Tool Discovery
A concentration of high-stress users signals unmet support needs.
3
Most Users Desire Adaptive Support Based on Mindset and Context
Over 50% of both groups want support that adapts to energy, focus, or time.
4
High-Stress Single-Tool Users Show Strong Alignment with MyStack.ai’s Drop and Stack Concepts
Strong approval for structured support, especially Drop; low-stress users opt out more frequently.
5
Multi-Tool Users Are Open but Cautious Toward Supportive Features Like Drop
Curious but not committed — open-ended feedback will shape final fit.
6
Mild but Distinct Signals Around Stack Feature Usefulness
Single-tool users show higher enthusiasm; multi-tool users are neutral but accepting.
7
Multi-Tool Users Seek Intelligent Control, While High-Stress Single-Tool Users Prioritise Clarity and Confidence
Power users want smart filters and benchmarks; stressed users need task-fit assurance.
8
Users Want Relevance, Transparency, and Control in Chat-Based Discovery
Clear expectations for chat: task-based, explainable, and fast.
9
Trust Is Built Through Transparency, Recognition, and a Low-Friction Experience
Different groups define trust differently — platforms must balance explainability and ease.
10
Students Mirror High-Stress Users in Needs, but with More Openness and Less Extremity
Students show high alignment with Drop and Stack, moderate stress levels, and strong openness to supportive experiences.
These insights collectively validate MyStack.ai’s proposed direction and highlight the importance of designing for contextual flexibility, information transparency, and emotional relief — particularly for users navigating cognitive load or decision uncertainty. The next step is to translate these findings into actionable product recommendations, prioritising features that deliver fast relevance for multi-tool users while reducing overwhelm for single-tool and student audiences.
