Use Cases and Deployment Scope
We use dscout when we need to make product and design decisions based on an understanding of how our customers think our product, brand, and those of our competitors. This spans the range from early discovery research (e.g., whether and how customers track the prices of high-dollar discretionary purchases?) to later stage evaluative research (e.g., do customers think about our new checkout prototype in the way we hope they do--and what assumptions do they bring to it?) To answer questions like this, we use the full range of dscout's capabilities, including unmoderated tests, moderated interviews (by both humans and AI), diary studies, and intercept studies. We also leverage dscout's MCP to support building and analyzing studies, with human researchers providing input at critical junctures.
Alternatives Considered
UserTesting, Maze and User Interviews
Other Software Used
Optimizely Feature Experimentation, Optimizely Analytics, Fullstory