Blog: Applied Inference & Methodologies
In-depth methodology blog, authored by Thomas Vladeck, founder of Gradient Metrics.
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List Experiments
A list experiment (also called the item-count technique) is a method for indirectly measuring private opinion for issues where individuals might otherwise be likely to publicly withhold their true opinion.
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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
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
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
Stay on the pulse of changing market conditions with Gradient’s brand tracking services
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