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rebecca Apr 11, 2025

🔭 I wanted to see how well AI could help me generate ideas by borrowing UX/UI concepts/features from other industries.

Amazing. I personally believe some of my best ideas come from looking at what's being done in other industries. So, I was THRILLED when the results were super insightful, easy to build upon, etc.

Some of the ideas weren't as original, would be interesting to suggest more obscure industry comparisons.

https://docs.google.com/document/d/1-qIw0oMfCRie9m_zC1C0TU2FG46fPScULI58Lsp73bI/edit?usp=sharing

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LinkedIn Industry Cross Pollination_Planchart

GD 592 / Project 2 Experiment Log Person Project Team Design Thinking Phase Success Level Date Rebecca Cross-pollinating design ideas from unrelated fields What I Tried What were you trying to achieve? I wanted to see how well AI could help me generate ideas...

Google Docs

rebecca Apr 11, 2025

🔭 Restest of @amaya_arie6 "quick idea pitches + worst-case scenario teardown."

I used the NN/g GPT for this retest and I don't think it was as effective at creating those punchy, one-liners that Amaya generated. It's too serious!

However, it suggested using the risk insights to develop design guardrails or “do this, not that” guidelines to inform concept development — and I loved the results!

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https://docs.google.com/document/d/1dS6HRci_fmX5hGC0K3snbkZqAv8cyJjxYcU80Q3S5V4/edit?usp=sharing

LinkedIn RETEST Quick Idea Pitches_Planchart

GD 592 / Project 2 Experiment Log Person Project Team Design Thinking Phase Success Level Date Rebecca Retest of Amaya’s experiment — Generating quick idea pitches + worst-case scenario teardown of each idea What I Tried What were you trying to achieve? I w...

Google Docs

rebecca Apr 11, 2025

🔭 Using HMW questions for concept generation.

I've been skeptical about the utility of ChatGPT for GOOD concept generation, but I was pleasantly surprised in my experiment! These were really well grounded and I think would be a great, low barrier of entry for kick-starting the ol' brain when the creative juices just aren't flowing.

https://docs.google.com/document/d/1v9gniZkSiN-cS1Kiy55lIEeWXkreHboJp-5dbJkHnmc/edit?usp=sharing

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rebecca Apr 11, 2025

@lmvinese I've been loving the suggested follow-up actions almost more than my original experiments, tbh. Glad I'm not the only one! This was really interesting, I loved that you prompted specifically from the perspective of a UXD group. Do you think the specificity gave you better results?

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rebecca Apr 11, 2025

@kimayac I need to start using the word "fantastical" in my everyday vocab!

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rebecca Apr 11, 2025

@jmonjan this was really interesting! It's kind of similar to generating ideas based off of different user stories, but I liked that this put you more in the "shoes" of your user (first person POV).

I wonder what would've happened if you'd asked the system to create the user perspectives as well, maybe based on a broad problem statement. Something to think about!

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rebecca Apr 10, 2025

@amaya_arie6 this is really interesting! I've been thinking about using Claude in this phase because it is a lot better at diagramming than ChatGPT.

I also thought the way it visualized everything was very "design-research-y" lol. Felt like something I would see on a FigJam board!

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rebecca Apr 10, 2025

@amaya_arie6 I love this! I think LLM's are really good at creating those one-liners — and I loved the names it gave your ideas too! The worst-case-scenarios are actually really powerful, helping you consider problems before you encounter them.

I tried reverse brainstorming, but I'll have to try this next! I really appreciate how digestible it is.

rebecca Apr 2, 2025

Generating HMW questions and using them for reverse brainstorming. The results were both hilarious and insightful.

I laughed out loud at, "Add a 'feeling lucky' button that fills your Experience section with AI hallucinations."

On the flipside, the "Realistic but Risky" ideas made me think more about long term impact. This could be a lightweight method to "move slow and fix things" in an agile environment.

https://docs.google.com/document/d/1BmZJaO7Lot-T653JvBTWGhb8vnOYNT0JGXgcwUB8X9c/edit?usp=sharing

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LinkedIn HMW and Reverse Brainstorm_Planchart

GD 592 / Project 2 Experiment Log Person Project Team Design Thinking Phase Success Level Date Rebecca Using NN/g Research Assistant to generate HMW questions and ideate on bad ideas. What I Tried What were you trying to achieve? I wanted to generate HMW qu...

Google Docs

rebecca Apr 2, 2025

Transitioning from DEFINE to IDEATE. In this experiment, I did a retest of Leighann's user story template and worked with the GPT to prioritize them based on product impact.

As a solo designer I might've just picked the one that resonated with me the most. I think this was more objective and made me consider other factors external to user needs/desires.

https://docs.google.com/document/d/1MyHhLw2U0W_Hz7qE2xk0bOLoOnsrLL-Bmwx27Embmvg/edit?usp=sharing

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LinkedIn User Stories and Value Matrix_Rebecca Planchart

GD 592 / Project 2 Experiment Log Person Project Team Design Thinking Phase Success Level Date Rebecca Using NN/g Research Assistant to define user stories and prioritizing solutions based on product impact and perceived effort What I Tried What were you tr...

Google Docs