Human Thinking  /  Analytics

Deep Analytics: Support How Humans Think, Not Just What They Do.

Most platforms track clicks and completions. Human Thinking makes the interaction itself visible. Our deep analytics show administrators, users, and organizations how AI was actually used — which questions were asked, which patterns recurred, and where understanding took hold or broke down.

Administrators can see which concepts generate the most questions, where misunderstandings cluster, and whether users are engaging deeply or reaching for quick answers. Users gain the ability to reflect on their own thinking habits, turning every AI interaction into an opportunity for self-awareness. Organizations can use aggregated insights to identify patterns across departments, teams, and programs — enabling smarter content strategy and responsible AI integration grounded in evidence rather than assumption. Because analytics can be brought directly into team meetings, student assignments or performance reviews, AI stops being a hidden tool and becomes a shared object of inquiry and improvement.

FOR USERS

Benefits for Users

Human Thinking analytics help users understand how they are thinking, not just what they are working on. A user exploring a complex financial model with an AI assistant might discover that most of their questions cluster around risk assessment methodology — helping them identify a specific knowledge gap that had previously been difficult to pinpoint.

In a compliance context, a user might see that they consistently ask for procedural corrections but rarely seek feedback on underlying reasoning, prompting them to broaden their approach. Usage patterns also surface habits worth noticing, such as how often an answer is followed up on rather than accepted at face value.

By making these patterns visible, Human Thinking encourages metacognition — the ability for users to reflect on their own reasoning process, adjust their strategy, and take ownership of their progress.

FOR ADMINISTRATORS

Benefits for Administrators

Human Thinking analytics provide administrators with evidence about where users may need support and how they seek help. An administrator might discover that users across an entire department are asking similar questions about a new regulatory framework — a signal to address a widespread knowledge gap in the next briefing rather than waiting for it to surface in a quarterly review.

In a technical team, analytics might reveal frequent requests for debugging help with loops but rarely with functions, pointing to a specific skill gap that targeted training can address. Usage patterns also distinguish between users who engage in sustained, back-and-forth problem-solving and those who copy brief answers, enabling more precise and constructive feedback.

These insights support sharper operational decisions: creating focused training materials, revising onboarding processes, or modeling better questioning strategies in team sessions. Administrators can bring anonymized trends into group discussions, giving teams a shared basis for examining how they use AI and where additional support may be needed. In this way, individual AI use can contribute to collective learning.

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