How do professionals find trusted information?
Sources, journeys, reliability checks and barriers.
DMAA explores how professional groups find information, learn, use channels, make decisions and experience digital technology and AI.
DMAA studies the context that shapes how people find and apply knowledge.
Sources, journeys, reliability checks and barriers.
Formats, time, habits and learning barriers.
Where a topic starts, deepens and continues.
Habits, trust, readiness, questions and concerns.
The role of context, trusted sources and support.
Unmet needs and opportunities for communication, education or digital assistance.
Scope and sequence depend on the audience, project and research question.
Define the audience, decisions, sample and delivery conditions.
Explore reasons, habits, context and barriers.
Use them where they can validate an interpretation or solution.
Assess how patterns are distributed in a defined sample.
Connect qualitative and quantitative findings and segment behaviour.
Turn insights into communication, education and digital decisions.
Key questions, patterns and limitations.
A practical frame for differing needs and behaviours.
How content is found, assessed and used.
Where attention or the user journey breaks down.
Priorities for systems, content, education and AI.
Choose priorities, pilots and next steps.
Choose a research question to see how an insight could inform digital, communication or educational work. The examples describe possible applications, not DMAA findings.
Digital Footprint could organise topic pages and navigation. Topic Development could plan professional explanations. An educational format could deepen understanding; H3i could connect activity into aggregated insights when purpose and conditions are confirmed.
Findings could inform modular lessons, newsletter reminders, asynchronous formats and clear application steps. The programme can be adjusted to its goal without inferring knowledge from clicks alone.
Insights could inform staff education, human review rules, source selection and communication about where AI is used. AI Transformation then connects process redesign with learning and system adaptation.
Both studies have been completed. This page does not publish individual findings, sample sizes or statistics.
Research with cardiologists informed communication and educational activities for the Croatian Cardiac Society. Individual findings and statistics are not published here.
The DMAA LOM study has been completed. No individual findings or statistics are published here; the framework shows how insights can guide next decisions.