A Pesquisa de Fluxo analisa padrões de movimento e interação em ambientes físicos ou digitais, combinando técnicas como rastreamento por sensores, heatmaps e etnografia. Flow Research analyzes movement and interaction patterns in physical or digital environments, combining techniques such as sensor tracking, heatmaps, and ethnography. Academically, it aligns with network analysis and space syntax models, studying the relationship between design and operational efficiency.
Its objective is to optimize experiences (e.g., store traffic, website navigation) and reduce friction (e.g., queues, cart abandonment). Companies apply it in retail to reposition products, at events to manage crowds, or in UX to simplify digital journeys. For researchers, it serves as a basis for studies on spatial cognition (e.g., how architecture affects decisions) or the impact of visual nudges (e.g., directional arrows).
It is recommended for structural renovations, space launches, or efficiency crises (e.g., high abandonment rates at checkouts). Advantages include real-time data, identification of engagement/repulsion hotspots, and the ability to simulate scenarios (e.g., virtually altering layouts). Métodos como RFID e IA preditiva permitem correlacionar fluxos com métricas financeiras (ex.: tráfego x conversão).
Cases: supermarket chains that increased sales by 20% by repositioning shelves according to flow maps, or airports that reduced waiting times through movement simulations. Studies show ROI of up to 300% in flow-based projects, with gains of 15% in customer satisfaction.
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