Gradient's Survey Design Process

We’ve developed a streamlined quantitative and qualitative data collection process that takes as input the decision to be made and outputs quantitative or qualitative data points to guide your decision. 

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Conjoint Experiments

Methodology

Conjoint Experiments

Choice-based conjoint analysis is a technique for quantifying how the attributes of products and services affect their preference. It is typically used to help decision makers identify the optimal design of products and pricing. 

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Survey-based Experiments

We've seen it all too often — you run a survey, get an "interesting" dataset, spend weeks poring over crosstabs, get lost in the deluge, and exit the engagement as confused as ever. With Gradient's experimental design services, we design a research study that will deliver definitive answers about what you should do next.

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Customer Lifetime Value Modeling

Learn who your most valuable customers actually are and how much they’re worth to your business over the long-run.

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MaxDiff Experiments

Methodology

MaxDiff Experiments

Learn the trade-offs that your consumers of interest make. Which attributes are least and most important to them?

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Brand Metrics Development

We use a statistical practice called structural equation modeling to build deep, meaningful, KPIs for your brand. We break apart a big-picture into multiple models to understand how dots in your business connect.

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Brand Tracker

Methodology

Brand Tracker

Stay on the pulse of changing market conditions with Gradient’s brand tracking services

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