tswd-portfolio

home page visualizing debt critique by design final project I final project II final project III

Wireframes / storyboards

I did my wireframe on shorthand. Here’s the link: https://preview.shorthand.com/ntPwz8X894YbEUvX

User research

Target audience

This topic is about a very basic need of human being which is food. On this era, there is a lot of people suffer hunger and unfortunatly the number is increasing over the last 10 years. I understood that this issue is complex. A lot of people from different segments should collaborate to solve this problem. However, the story that I want to emphasize here is there is a twist which are a lot of people suffer hunger but there is also a lot of wasted food along food supply chain. Therefore, I think it is a good way to fix this stages. A new chapter of hope happened that AI was impactful in food supply chain, specifically on-farm stages. This is a good opportunity to extend the success story of AI implementation to the next steps. Therefore, my first targeted audience is technologist. Other things that I considered is the supply chain. AI engineer can develop a model but how the model woul integrate with existing system and how it will optimize the outcome should be discussed with engineers in supply chains. Moreover, supports from policymakers are helpful in aligning this technology with society.

Interview script

I identified 3 individuals to interview who are a tech student, a professional in supply chain, and a social scientist because I want to know the view from technology feasibility, the implementation in supply chain, and also the social perspectives.

Goal Questions to Ask
Targeted Audience Clarity Who do you think the audience of this story?
Emotional Flow How was your feeling while view and read this article?
Data viz effectiveness Any data viz that hard to interpret?
Call to action Clarity What do you think the audience would do next?
Next Improvement Any suggestions to improve how the story being told?

Interview findings

Questions (Tech student, mid 20s) (Lawyer, mid 30s) (Supply Chain Engineer, late 30s)
Who do you think the audience of this story? Policymakers, Individuals, Computer science researchers/ data scientist/ ML engineers high educated individuals, engineers Farmers, agriculture industries, student, government institution - Agriculture Ministry, logistic/Supply Chain company
How was your feeling while view and read this article? Felt depressed and sad at the beginning. A bit shocked on food wasted potential. At the end felt hopeful since there’s solution and people are working to solve this problem very dark at the beginning but optimistic in the end It made me awake and more aware on current bad hunger situation. Feels enthusiastic about how far AI could help to improve it
Any data viz that hard to be interpreted? ‘The twist’ graph was confusing that one slice of pizza represent how many food and one person icon represent how many people too. But while hovering the cursor it was clear. ‘AI’ color is not consistent Asked about the graph of hunger cycle and increased crop production credibility With AI help’s, farmers are able to grow 30% more food - whats are the assumptions made here
What do you think the audience would do next? Policymakers: create regulation, Individuals: dont waste food, Data Scientist/ML engineers: apply/ optimize AI to solve this issues not sure about what is the next steps. The message is not pretty straightforward Do more compherensive study to recheck n validate what AI could help, and the investment required
Any suggestions to improve how the story being told? Breakdown those 3 AI initiatives into bullet points, instead of using narrative/ paragraphs Give the possible impacts of AI implementation to be more persuasive. Add the source of all data viz to show the credibility Simple video may help to show how AI could play important role to help the farmers as the “producer”.. It seems AI will give more benefit only to industrial sector

Identified changes for Part III

Based on the insights from my three interview, here’s what I will do on next part III

Research synthesis Anticipated changes for Part III
The twist graph is confusing Adjust the twist graph scales
Hunger Cycle credibility Add citation inside the graph
Clear assumption of the AI success graph Add citation, add title, and input the baseline assumption too in subtitle
Persuasive & clarity of call to action Breakdown the action list, add the possible impacts/ benefits, embed AI video on farm

To summarize, I did my best in wireframing the story from diverse data that I searched. Tie-up them into interesting story is pretty hard for me. I am happy that throughout the interviews some of my messages inside the story are well delivered. Moreover, the interviews did give me a lot of insights from different perspectives to improve my data viz. How I pick my interviews is really matter for me. Some other things that I had never thought before were comes up to me. I will improve a lot on the next part!