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Product Feature Prioritization Product Feature Prioritization

XM Solution Automated Project

Product Feature Prioritization

Understand the features your customers value, and the ones they don’t, so you can prioritize the most important ones in your early stage product development

Core Experience

Product Experience

Created By

Qualtrics

COST

Paid

Free Trial Available

Methodology

Card Sort

The card sort technique helps you understand which product features most and least deliver value to a potential buyer or past customer. Card sort survey participants rank your list of potential product features so that you have all the information you need to make important product decisions.

Product Feature Prioritization — also known as card sorting — is a quick way to prioritize a long list of potential features and is a great way to create a shortlist of features early on in the product development process.  Product features are characterized into easy to understand categories of ‘must-have’, ‘nice-to-have’, and ‘doesn’t-need’ so you can see at a glance which ones appeal most to different customer segments.

Outcomes Delivered

  • Launch products with the features that drive demand
  • Match the right price to your product
  • Increase value to different groups of buyers

Category Tags

Focus your time and resources
Identify a prioritized set of “must have” features and quickly eliminate those that won’t appeal to your target customers so you can focus your time and resources on the ones that matter most.

Understand every customer segment

You’ll see how different customer segments rank or sort items based on a set criteria, so you’ll know early in the product development process which features are most important to which customers.

What You Get: Expert Designed Card Sort Solution

Expert-built Surveys

An expert-built card sort survey template preloaded with the right questions to help you save time and get results faster.

  • Ph.D. designed methodology
  • Prebuilt logic and survey structure
  • Automated workflow

Response Recommendations

A recommended number of respondents to maximize confidence in your data, specific to your project design. For example, a typical study would require a respondent sample size of 300 completes for optimal analysis.

We make it easy to get responses:

  • Upload your own contacts
  • Purchase participants directly in Qualtrics

Prebuilt Reports

Get instant analysis of your data. Pre-built reports help you spend less time analyzing data, and more time delivering results.

  • Instant analysis of your data
  • Easy to understand results
  • Expert designed charts and graphs
  • PDF format for easy sharing

Additional Resources

  1. Article: How to run a pricing study?

Solution Details

Required License: Research Core 5

Free XM Solution Trial Available

Languages

English

Category Tags

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