Analytics Techniques

Prioritization & Optimization

MaxDiff (Best-Worst Scaling)

Forces real trade-offs to produce a clear, defensible ranking of what matters most — with meaningful distance between items.

TURF

Identifies the combination of products, features, or messages that reaches the broadest audience — optimizing portfolios for maximum coverage.

Kano

Categorizes product features into Must-have, Performance, Attractive, Indifferent, and Reverse — revealing which features drive satisfaction and which are table stakes.


Drivers & Relationships

Key Drivers Analysis

Uncovers which brand, experience, or communication factors most strongly drive consumer attitudes and behaviors.

Path Analysis

Explains how perceptions, intentions, and behaviors connect — and helps teams understand the sequence of influence behind key outcomes.


Segmentation & Factor Analysis

Segmentation

Divides an audience into distinct groups based on shared behaviors, attitudes, or needs — enabling targeted strategy, messaging, and product development.

PCA / Factor Analysis

Reduces long lists of correlated survey attributes into a smaller set of clear, interpretable themes — often used as an input to KDA or segmentation.


Pricing

VWD / Gabor-Granger

Two complementary methods — Van Westendorp identifies the acceptable price range, Gabor-Granger finds the revenue-maximizing price point.

Conjoint Analysis

Measures how consumers trade off features, price, and brand — enabling product optimization, competitive simulation, and willingness-to-pay estimation.


Brand & Positioning

Correspondence Analysis

Produces perceptual maps that visually show how brands or retailers are associated with attributes — revealing competitive positioning at a glance.


Tools & Automation

Chart Automation

Uses R’s officer package to programmatically update PowerPoint decks from data — eliminating copy-paste errors and producing client-ready slides in seconds.


Need Help Choosing?

Not sure which technique is right for your project? See the decision guide on the homepage or contact the analytics team.