Dscout is a user experience (UX) research platform designed to facilitate both rapid and comprehensive user studies. It supports a wide range of research activities, from quick validation tests to complex, multi-part studies, streamlining the process of gathering, analyzing, and managing user insights. The platform integrates tools for surveys, interviews, behavioral tracking, and information architecture evaluation, allowing researchers to observe real users in natural environments and collect diverse data types—including video, audio, and heat maps—across mobile and web.

Key Features

Quick-turn and Multi-part Study Support Enables both rapid validation and complex research projects.

• Conduct quick tests or build multi-phase studies.
• Manage all research activities in a single platform.

Multi-modal Data Collection Gathers diverse data for deeper insights.

• Supports video, audio, open-ended responses, card sorts, and picture data.
• Enables heat mapping and session recording.

Remote and In-context Research Observes real users in their natural environments.

• Studies can be conducted remotely, in-home, in-store, or anywhere via mobile.
• Captures authentic user behavior.

Integrated Moderated Interviews Streamlines interview processes.

• Schedule or upload moderated interviews.
• Invite hidden observers, manage NDAs, and process incentives in one place.

Automated Analysis Tools Accelerates data processing and insight generation.

• Automated transcripts and task success measurement.
• Heat maps and task prompts for iterative testing.

Information Architecture Evaluation Tests and refines navigation and structure.

• Supports open, closed, or hybrid card sorting.
• Evaluates labels, groupings, and pathways for intuitiveness.

Benefits

Efficiency and Speed Reduces time spent on logistics and tool management.

• Centralizes study setup, scheduling, and data collection.
• Eliminates need for multiple tools, spreadsheets, and contracts.

Deeper, Actionable Insights Enables richer understanding of user behavior and needs.

• Collects qualitative and quantitative data at scale.
• Supports early-stage design validation and iteration.

Scalability and Flexibility Adapts to a variety of research needs and study complexities.

• Handles both small, quick tests and large, multi-phase projects.
• Suitable for teams conducting ongoing or ad hoc research.