---
title: Gradient's Blog - Intuition Alone Is Never Enough | Gradient Metrics | Product Attributes
description: "Product Attributes | 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

[

Brendon EllisJul 19, 2023 4:04:25 PM8 min read

## How to Use Conjoint Analysis for Product Design

Customers today, more than ever, expect brands to be responsive to their preferences and design products that meet their needs. Fortunately for consumers, the amount and variety ...

Start Reading 

](https://www.gradientmetrics.com/blog/how-to-use-conjoint-analysis-for-product-design)

<https://www.gradientmetrics.com/blog/tag/product-attributes#>

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