Using Chat GPT in the UX design process

As Chat GPT continues to make headlines, many have speculated on whether it will replace Google or Stackoverflow and potentially jeopardize blue-collar jobs. While it’s difficult to predict the future, I wanted to take a closer look at how this artificial intelligence technology could potentially be leveraged in the UX design process. Here’s what I tried.

Photo by Aleksandr Popov on Unsplash

Generate quantitative survey questions

Let’s say I received a brief

“How Might We organize the variety of people navigating the streets of London to provide a more efficient and cleaner city.”

I did fast 30min secondary research, and I generated the summary of the findings:

• London does many things right in terms of pedestrian friendliness. Yet ⅓ of its residents’ journeys as a driver or passenger could be walked in less than 25 min.
• 65% of people with disabilities in London consider the conditions of pavements to be a barrier to walk.
• Average time taken to travel to work in 2019 was 30 min across all modes.
• Transport now accounts for 50% of UK domestic nitrogen oxide emissions.
• Transport remind the largest emitting sector of domestic greenhouse gases in 2018.
• Journey modal split: Privet car 37%, public transport 29%, walking 29%, bicycle 3%.
• Average wait at a station in London is 10 min.
• Average trip distance is 7.4km.
• Only 37% of commuters perform single line trips in London.
• Average usual walk distance per trip in London is 0.61km.
• The average cost of ownership for the first vehicle is £233.5 per month / £2,802 per year (excluding maintenance and MOT costs).
• 56% of car-owning participants believe that owning a car is a big expenditure for their household.
• 32% of car owners are in favour of just having access to a car without the hassle of owning one.
• 74% of the car-owning participants claimed that driving in London is a nightmare.
• 55% of car owners stated that congestion is a problem when they drive.
• 40% of the car-owning participants declared that it takes them a lot of time to find a parking space when they use their vehicles.
• The survey results suggest that the vast majority (67%) of non-car-owners believe that there is no need to own a car in London, regardless of their age or the zone they live in.
• 71% of non-car-owners also believe the number of cars is a big problem for the UK capital.
• 59% of non-car-owning respondents believe owning a car is a big hassle.
• 47% of the non-car-owning participants believe that people should buy fewer cars.
• 18% of non-car-owners said they would not buy a car in the future. Millennials are those who agree the most with this statement.
• (47%) that they think people should buy fewer cars, but when asked if they will buy a car in future, 57% of them agreed with that statement.

Now I can feed that input and ask openAi to generate survey questions.

Take the input: <survey insights> and generate from it 10 questions survey about city mobility habits. The First 3 questions of the survey should be demographic questions.

Result

1. What is your age?
2. What is your gender?
3. What is your current occupation?
4. How do you typically travel to work or school?
5. How long does it typically take you to get to work or school?
6. Do you own a car?
7. Do you face any barriers to walking or biking in your city?
8. Do you think the number of cars in your city is a problem?
9. Do you believe owning a car is a big hassle or expenditure?
10. Would you prefer to just have access to a car without the hassle of owning one?

Generate user persona bio

Let’s say I’m at the further stage of the UX design process, and I’m creating a user persona. I have the list of characteristics of the persona:

John, 30 years old, marketing associate, lives in London

• Personality: extrovert, creative, busy, independent, passive, safe
• Interests: ecology, sports, going out with friends, animals
• Needs and expectations: be fulfiled at work, don’t be stressed, sharing experiences with friends and family
• Influences: family and friends, Greenpeace, WWF
• Motivations: want to be healthy, wants to be fit, wants to live in a clean city
• Pain points: road rage, always feeling in rush, lack of safety
• Goals: explore new bars and restaurants, spend less than 30 min on a commute, be more active

And now, I want to write a Bio.

Take the input: <characteristics> and write a short bio based on the input

Result

John is a 30-year-old marketing associate living in London. He is an extrovert with a creative personality and is always busy. Despite his independence, John is quite passive and values safety. In his free time, he enjoys learning about ecology, staying active through sports, and spending time with friends. At work, John wants to feel fulfilled and avoid stress. He values sharing experiences with his friends and family and is influenced by organizations like Greenpeace and WWF. John’s main motivations are to be healthy and fit and to live in a clean city. However, he struggles with road rage, feeling rushed, and a lack of safety. Among his goals are to explore new bars and restaurants, reduce his commute time to less than 30 minutes, and be more active.

Takeaways

As the use of artificial intelligence (AI) continues to grow, it’s increasingly important for professionals to learn how to communicate effectively and utilize this technology in their workflows. While the results of the above experiments may require some fine-tuning, they can provide a solid foundation for speeding up tasks and getting started on projects. Don’t get left behind — start learning to leverage AI to your advantage now to stay ahead in an increasingly tech-driven future.