Conjoint
Estimate how people trade off product features, levels, and price when making choices.
Decision support
Method chooser
This tool is intentionally lightweight. It helps narrow the field based on what problem you are solving, what kind of data you have, and what type of output you need to explain.
Recommendation logic stays content-driven: updating method frontmatter updates this chooser automatically.
Segmentation
Group respondents into meaningful clusters so targeting, messaging, and product decisions become more actionable.
K-means
Partition observations into a fixed number of clusters by minimizing within-cluster variation.
Hierarchical clustering
Build a nested clustering tree to explore how cases group together before selecting a solution.
Key driver analysis
Identify which attributes are most associated with an outcome such as satisfaction, recommendation, or choice.
Kano
Classify features into must-haves, performance drivers, and delighters based on how they affect satisfaction.
MaxDiff
Estimate relative preference strength across a list of items by asking respondents to choose the best and worst.
Van Westendorp
Estimate acceptable price ranges based on four price perception questions.
Gabor-Granger
Measure purchase intent at different price points to estimate demand response and pricing sensitivity.
TURF
Estimate how combinations of items maximize reach across a target group.
Correspondence analysis
Map the relationship between brands, attributes, or categories in a low-dimensional visual space.
Pricing research overview
A high-level map of where major pricing methods fit and what decisions they support.
Brand funnel / brand equity
Measure how brands perform across awareness, consideration, usage, and equity-related outcomes.
Text analytics
Turn open-ended responses or qualitative text into structured patterns, themes, and language signals.
No methods match that combination yet. Relax one filter or add a new method entry to the collection.