Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Design ›› Organized Approach to Emotional Response Testing

Organized Approach to Emotional Response Testing

by Nathanael Boehm
3 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

Categorizing feeling words and the Product Reaction Cards to develop custom cards.

Most user experience designers will have heard of the Product Reaction Cards (doc), a set of 118 words and phrases developed for Microsoft by Joey Benedek and Trish Miner in 2002 that can be deployed in a user testing workshop to help people articulate their emotional responses to a product.

The Product Reaction Cards are part of the Desirability Toolkit (doc) that suggests facilitators ask users to choose the cards that “best describe the product or how using the product made them feel” and then ask them to narrow their selection to just five cards. The cards selection process is then followed by an interview where the participant explains why they selected those five cards.

Whilst the 118 card deck seems to work for the creators of the PRC, some people think it’s too much—I posted a question on UX Exchange a few months ago about and received responses like “unnecessarily fiddly” whilst another said they use a subset of the cards. Donna Spencer, author of Card Sorting, commented:

…at the end of the test the last thing a participant wants to do is go through this big pile of cards. It takes quite a lot of time, but I don’t think the gain is worth the pain.

Whilst I support the goals of the cards to prompt people and provide a full vocabulary than might otherwise come to mind during workshop sessions I’ve been wondering if there might be a different approach.

For example, in the book People Skills, Robert Bolton talks about using adverbs to describe the level of intensity as well as grouping feeling words into “families”:

By preceding feeling-word adjectives with appropriate adverbs, you can communicate with some accuracy the degree or intensity of feeling.

You could select adverbs appropriate to the adjective, as in the example Bolton uses:

  • You feel a little sad because your dog died
  • You feel quite sad over your dog’s death
  • You feel very sad that your dog died
  • You feel deeply sad since your dog died

Or you could opt for a normalised Likert scale approach that could be applied to any adjective; although that would require participants to explicitly state their opinion of every feeling word, phrased as questions like, “This product makes me feel stressed: Strongly Disagree, Disagree, Neither Agree or Disagree, Agree or Strongly Agree.”

It’s intensive but it is a more analytical and thorough approach.

The “families” that Bolton refers to is a matrix of categories of feeling words grouped by levels of intensity for example in the category of emotional feeling words for “sadness”:

Strong:

  • Desolate
  • Anguished
  • Despondent
  • Depressed

Mild:

  • Glum
  • Blue
  • Sad
  • Out of sorts

Weak:

  • Below par
  • Displeased
  • Dissatisfied
  • Low

This grouping of feeling words by level of intensity, the use of adverbs or a Likert scale, coupled with the Production Reaction Cards authors’ recommendation to maintain a 60/40 ratio of positive to negative words should provide you with a better framework should you wish to alter or reduce the list of 118 words and phrases whilst ensuring you still cover the full range of emotional responses.

Think of it like a paint palette where the type of emotion is the hue and the intensity is the brightness. You might not need your 16.7 million colours but if you’re going to cull your palette at least take a sensible and logical approach to it.

This is especially important if you want to follow a quantitative approach to reporting on research conducted using the PRC as mentioned in the book Measuring the User Experience by Thomas Tullis and Bill Albert.

What are your experiences with using the Product Reaction Cards—specifically if you culled the list of words and phrases or came up with your own? What technique did you use for developing your custom set of cards and how do you think your choices affected the quality and thoroughness of the emotional response inquiry?

post authorNathanael Boehm

Nathanael Boehm
Nathanael has been working in web application development since 2000. He started as as developer before focusing on front-end design and then giving up coding to specialise in UX design. He has worked primarily in the public sector for Australian Government departments and agencies but also has several years experience in private sector working in e-commerce, e-learning and product development. Nathanael has also been involved with TEDx conferences in Canberra Australia and Christchurch New Zealand as well as organising BarCamp events, Free Australia Wireless, Canberra Coworking and OpenAustralia.

Tweet
Share
Post
Share
Email
Print

Related Articles

Learn when to talk to users, and when to watch them in order to uncover real insights and design experiences that truly work.

Article by Paivi Salminen
Usability Tests vs. Focus Groups
  • The article distinguishes between usability tests and focus groups, highlighting their different roles in UX research.
  • It explains that focus groups gather opinions and attitudes, while usability tests observe real user behavior to find design issues.
  • The piece stresses using each method at the right stage to build the right product and ensure a better user experience.
Share:Usability Tests vs. Focus Groups
2 min read

Explore how interaction data uncovers hidden user-behavior patterns that drive smarter product decisions, better UX, and continuous improvement.

Article by Srikanth R
The Power of Interaction Data: Tracking User Behavior in Modern Web Apps
  • The article explains how interaction data like clicks, scrolls, and session patterns reveals real user behavior beyond basic analytics.
  • It shows how tools such as heatmaps and session replays turn this data into actionable insights that improve UX and product decisions.
  • The piece emphasizes using behavioral insights responsibly, balancing optimization with user privacy and ethical data practices.
Share:The Power of Interaction Data: Tracking User Behavior in Modern Web Apps
14 min read

Explore how design researchers can earn the trust and buy-in that give studies impact, even as AI shifts how teams work.

Article by Sara Fortier
Earning the Right to Research: Stakeholder Buy-In and Influence in the AI x UX Era
  • The article emphasizes that synthetic data and AI tools promise speed, but not the alignment or shared purpose that makes design research effective in solving design problems.
  • It asserts that meaningful human-centred design begins with trust and the permission to conduct research properly (i.e., strategically).
  • The piece outlines how to build stakeholder buy-in for design research through practical strategies that build influence piece by piece within an organization.
  • Adapted from the book Design Research Mastery, it offers grounded ways to enable impactful user studies in today’s AI-driven landscape.
Share:Earning the Right to Research: Stakeholder Buy-In and Influence in the AI x UX Era
12 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and