OUTSTANDING EXPERIENCE IS BUILT ON OUTSTANDING RESEARCH
MY uxr-chatgpt challenge
UXR Task Challenge #1-#20 (In Progress)
- I asked ChatGPT to provide me with 20 different UXR prompts that I can add to my portfolio (aka "My UXR Challenge"). See image on right.
- Disclaimer - These are portfolio pieces only. Real users have not been recruited. Tools used are potentially limited in scope due to subscription paywalls. Context is non-existent. They are simply UXR snapshots.
- Card Sorting (Non-Traditional Usage in the form of Prioritisation) - COMPLETED
- TBA
UXR Challenge #1
1. Card Sorting Challenge
3. Non-Traditional Card Sorting
1. Card Sorting Challenge
ChatGPT's prompt was "Conduct a card deck exercise to prioritize features or design elements based on user preferences."
2. U Tricky ChatGPT
3. Non-Traditional Card Sorting
1. Card Sorting Challenge
Analysing the prompt revealed that ChatGPT was being tricky. That is, while card sorting is typically used to "assess information architecture" in terms of categorisation by the users themselves, I understood the "prioritisation" request to mean that the method needed to be used in a different way -- hence, in a non-traditional way.
3. Non-Traditional Card Sorting
3. Non-Traditional Card Sorting
3. Non-Traditional Card Sorting
4. Feature Prioritisation - Gym
4. Feature Prioritisation - Gym
3. Non-Traditional Card Sorting
Use for Non-Traditional Card Sorting Method (just a random idea): Designing a gym for weightlifters and wanting to optimise user experience by identifying the features they consider to be high, medium and low "priority".
5. What features?
4. Feature Prioritisation - Gym
6. Optimal Workshop
As I'm not a weightlifter, I'm unsure as to the actual gym features that could be incorporated into the gym / on the cards. In a real project, I would conduct interviews with weightlifters to identify applicable features. However, as this is a portfolio piece, I will turn to ChatGPT. I asked ChatGPT “take the role of a weightlifter at a gym and list 20 features of the gym that they feel are important”. Twenty were provided.
6. Optimal Workshop
4. Feature Prioritisation - Gym
6. Optimal Workshop
I used Optimal Workshop's "Try for Free" OptimalSort Card Sorting feature (wanted to test an online tool). It is best practice to have "between 30 and 60 cards, with 40 cards being the sweet spot"; however, the trial permitted 20 cards only. I added the features that ChatGPT came up with and also entered in the descriptions that ChatGPT provided.
7. Prioritisation Categories
7. Prioritisation Categories
7. Prioritisation Categories
Due to this prompt referring to prioritisation based on user preferences, the Categories I used in Optimal Workshop included "Very Important", "Moderately Important", "Not Important".
8. Remote User Participation
7. Prioritisation Categories
7. Prioritisation Categories
A link was provided to be shared with participants. Five fake users remotely completed the card sorting exercise by moving each card into one of the prioritisation categories. Best practice is between 15 and 30 participants.
9. Results & Analysis
7. Prioritisation Categories
9. Results & Analysis
Optimal Workshop provided analysis of the results in a number of forms. Bear in mind that both the users and card sorting is fake, the results are obviously invalid. However, Optimal Workshop provided analysis that was easy to decipher.
UXR - card sorting (user priortisation of features)
User sorting cards into categories via dragging
Results grid showing the breakdown of cards into categories by frequency.