--- title: Gradient's Blog - Intuition Alone Is Never Enough | Gradient Metrics description: "Business use cases for Gradient research methodologies: MaxDiff analysis, conjoint analysis, customer segmentation, CLV, list experiment, brand metrics." --- ![bg_default_6](https://www.gradientmetrics.com/hs-fs/hubfs/Brand_Current/default/backgrounds/bg_default_6.png?width=300&name=bg_default_6.png) # Intuition alone is never enough - [Show all](https://www.gradientmetrics.com/blog) - [Attitudinal segmentation](https://www.gradientmetrics.com/blog/tag/attitudinal-segmentation) - [aws.s3](https://www.gradientmetrics.com/blog/tag/aws-s3) - [Brand Metrics](https://www.gradientmetrics.com/blog/tag/brand-metrics) - [Brand Perception](https://www.gradientmetrics.com/blog/tag/brand-perception) - [Brands](https://www.gradientmetrics.com/blog/tag/brands) - [cloudfs](https://www.gradientmetrics.com/blog/tag/cloudfs) - [CLV](https://www.gradientmetrics.com/blog/tag/clv) - [Conjoint Analysis](https://www.gradientmetrics.com/blog/tag/conjoint-analysis) - [Conjoint Model](https://www.gradientmetrics.com/blog/tag/conjoint-model) - [Consumer Preferences](https://www.gradientmetrics.com/blog/tag/consumer-preferences) - [Consumers](https://www.gradientmetrics.com/blog/tag/consumers) - [customer lifetime value](https://www.gradientmetrics.com/blog/tag/customer-lifetime-value) - [customer segmentation](https://www.gradientmetrics.com/blog/tag/customer-segmentation) - [Discrete Choice Experiment](https://www.gradientmetrics.com/blog/tag/discrete-choice-experiment) - [googlesheets4](https://www.gradientmetrics.com/blog/tag/googlesheets4) - [List Experiment](https://www.gradientmetrics.com/blog/tag/list-experiment) - [Market Sizing](https://www.gradientmetrics.com/blog/tag/market-sizing) - [Marketing Strategy](https://www.gradientmetrics.com/blog/tag/marketing-strategy) - [MaxDiff Analysis](https://www.gradientmetrics.com/blog/tag/maxdiff-analysis) - [MaxDiff Example](https://www.gradientmetrics.com/blog/tag/maxdiff-example) - [MaxDiff Survey](https://www.gradientmetrics.com/blog/tag/maxdiff-survey) - [Methodology](https://www.gradientmetrics.com/blog/tag/methodology) - [Open Source](https://www.gradientmetrics.com/blog/tag/open-source) - [politics](https://www.gradientmetrics.com/blog/tag/politics) - [Private Opinion Research](https://www.gradientmetrics.com/blog/tag/private-opinion-research) - [Product Attributes](https://www.gradientmetrics.com/blog/tag/product-attributes) - [Product Design](https://www.gradientmetrics.com/blog/tag/product-design) - [Purchase Rate](https://www.gradientmetrics.com/blog/tag/purchase-rate) - [Sale Driver Analysis](https://www.gradientmetrics.com/blog/tag/sale-driver-analysis) - [Sales Funnel](https://www.gradientmetrics.com/blog/tag/sales-funnel) - [SAM Analysis](https://www.gradientmetrics.com/blog/tag/sam-analysis) - [segmentation](https://www.gradientmetrics.com/blog/tag/segmentation) - [SOM Analysis](https://www.gradientmetrics.com/blog/tag/som-analysis) - [TAM Analysis](https://www.gradientmetrics.com/blog/tag/tam-analysis) - [targeting](https://www.gradientmetrics.com/blog/tag/targeting) Show allAttitudinal segmentationaws.s3Brand MetricsBrand PerceptionBrandscloudfsCLVConjoint AnalysisConjoint ModelConsumer PreferencesConsumerscustomer lifetime valuecustomer segmentationDiscrete Choice Experimentgooglesheets4List ExperimentMarket SizingMarketing StrategyMaxDiff AnalysisMaxDiff ExampleMaxDiff SurveyMethodologyOpen SourcepoliticsPrivate Opinion ResearchProduct AttributesProduct DesignPurchase RateSale Driver AnalysisSales FunnelSAM AnalysissegmentationSOM AnalysisTAM Analysistargeting [ Ashley SorensonJan 10, 2025 4:57:40 AM3 min read ## Using Data to Challenge Modern  Campaign Strategies It’s often assumed in American politics that candidates do or should cater to the "middle" of the political spectrum in what is dubbed the median voter theory. The logic being ... Start Reading ](https://www.gradientmetrics.com/blog/using-data-to-challenge-modern-campaign-strategies)[ Ashley SorensonJan 10, 2025 4:55:15 AM2 min read ## Making Sense of “Independent” Voters The United States is often described as being politically divided. Yet, we’ve seen an increase in the number of Independents over time. How can this be? We ran a survey with 1,025 ... Start Reading ](https://www.gradientmetrics.com/blog/making-sense-of-independent-voters)[ Kyle BlockJun 11, 2024 12:29:19 PM7 min read ## Making Sense of Market Sizing Data and Implications Understanding the market landscape is crucial for any business aiming to grow. Market sizing analysis provides invaluable data that can guide strategic decisions, prioritize ... Start Reading ](https://www.gradientmetrics.com/blog/making-sense-of-market-sizing-data-and-implications)[ Brendon EllisMar 19, 2024 2:07:14 PM8 min read ## Private Truths, Public Lies: Why Private Opinion Research Improves Standard Public Opinion Polling For more than a decade, public opinion polls reinforced the notion that Americans did not support marriage equality for same-sex couples. More than 10 years after pollsters began ... Start Reading ](https://www.gradientmetrics.com/blog/private-truths-public-lies-why-private-opinion-research-improves-standard-public-opinion-polling)[ Brendon EllisMar 19, 2024 2:06:06 PM4 min read ## Best Practices for Analyzing and Interpreting List Experiment Results Navigating the landscape of private opinion on sensitive topics can be challenging, with individuals often reluctant to openly express their true beliefs. This is where list ... Start Reading ](https://www.gradientmetrics.com/blog/best-practices-for-analyzing-and-interpreting-list-experiment-results)[ Brendon EllisMar 19, 2024 2:04:54 PM3 min read ## A Beginner's Guide to Designing List Experiments A list experiment is a method for indirectly measuring private opinion for sensitive issues where individuals might otherwise be likely to publicly withhold their true opinion. ... Start Reading ](https://www.gradientmetrics.com/blog/a-beginners-guide-to-designing-list-experiments)[ Emmanuel UgochukwuMar 13, 2024 1:36:29 PM5 min read ## Interpreting Customer Segmentation Results: Best Practices When a brand decides to invest in market research, it can be challenging to choose the best way to get actionable data on their customers. With this in mind, mindset-based ... Start Reading ](https://www.gradientmetrics.com/blog/interpreting-customer-segmentation-results-best-practices)[ Kyle BlockFeb 8, 2024 3:19:32 PM8 min read ## Understanding Different Market Sizing Approaches So you want to measure market size Start Reading ](https://www.gradientmetrics.com/blog/understanding-different-market-sizing-approaches)[ Kyle BlockJan 26, 2024 12:50:24 PM8 min read ## Best Tips for Sound Conjoint Analysis Design Developing a new product can seem like an overwhelming task: Brand, color, price, and a host of other features all impact whether consumers choose one product over another. ... Start Reading ](https://www.gradientmetrics.com/blog/best-tips-for-sound-conjoint-design)[ Kyle BlockNov 3, 2023 3:57:37 PM8 min read ## Unlocking Brand Value: How to Identify the Metrics that Make Your Brand Stand Out In the ever-evolving landscape of marketing, understanding the health and performance of your brand is paramount. To navigate the complexities of the modern market, we rely on a ... Start Reading ](https://www.gradientmetrics.com/blog/unlocking-brand-value-how-to-identify-the-metrics-that-make-your-brand-stand-out)[ Kyle BlockOct 19, 2023 3:42:04 PM8 min read ## Best Tips for Sound MaxDiff Design In an increasingly competitive landscape, the maximum difference analysis (MaxDiff) has emerged as a vital technique for identifying the key drivers of consumer preferences. When ... Start Reading ](https://www.gradientmetrics.com/blog/best-tips-for-sound-maxdiff-design) [Load more posts](https://www.gradientmetrics.com/blog/page/2) ```json { "@context" : "https://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "", "addressLocality" : "Brooklyn", "addressRegion" : "New York", "postalCode" : "NY 11249", "streetAddress" : "325 Kent Avenue" }, "knowsLanguage" : "en", "logo" : { "@type" : "ImageObject", "url" : "https://www.gradientmetrics.com/hubfs/branding/default/gradient_default_black.png" }, "name" : "Gradient Metrics", "url" : "https://www.gradientmetrics.com/blog" } ```