Tried out Cohere and ChatGPT to explore one HMW statement deeply — from idea generation to user journey, pros/cons, and feasibility analysis. Learned how powerful AI can be in shaping and critiquing early concepts.
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https://docs.google.com/document/d/1jdN0lmkWmsvg3bM7FWz69mRcn7PmBwowVftvd5e7iKk/edit?tab=t.vi9qsr8ci66a

User stories in the "define" phase of the design process can be generated pretty accurately and give a designer a start. I used one user persona and a user journey map.

Google doc: https://docs.google.com/document/d/17d6sBLnmkoJaDinzEWMJyWoCkw3WQqjNLnf0MkwAeEI/edit?usp=sharing

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Trendwatching AI Innovations Expert felt like I was working with an analyst. However, the amount of information can be overwhelming.

Google Doc: https://docs.google.com/document/d/1nz-w80StWClTs4xOcZOiHwtnYIcSPg8vHN9KRX3U5I0/edit?usp=sharing

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Continuing somewhat with my methodology from the "six hats" experiment, I tried another method: four categories. The results weren't as good as the previous one, but I'm still satisfied with it. Lots of interesting ideas and loving Chat-GPT providing "rationale" for it all. Could be helpful as a tertiary tool for human brainstorming, I reckon !

https://docs.google.com/document/d/1UIt4yc2j2ivxYxK-ODLcGneAr1KbNq7TbIC7T3uA1zI/edit?tab=t.an862luxdldo

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Decided to try something a bit different and go back to square one. Researched tips for better prompt generation and ideation methodology. I asked Chat-GPT to help with "six hats" method ideation regarding the Pinterest Problem. I was impressed ! Definitely sticking with this method for prompting...

https://docs.google.com/document/d/1UIt4yc2j2ivxYxK-ODLcGneAr1KbNq7TbIC7T3uA1zI/edit?tab=t.y9sot7f0vxim

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🔭 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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🔭 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

🔭 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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After generating a bunch of ideas in collaboration with AI, I thought it would be helpful to format them into a template that is short and easy to read through. I chose Gemini Pro for this job. The result is good and useful for me.

Google doc: https://docs.google.com/document/d/1GLPbn5GnZQdWBnULOn03bF5YAwuc775JfAprG8AytuQ/edit?usp=sharing

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Tried using AI to remix early-stage ideas for Pinterest ideation. Some results were wild, others surprisingly insightful. It pushed me out of my usual patterns and gave me fresh angles to explore. Next time: more context + emotional framing to keep things grounded.

https://docs.google.com/document/d/120aF9o6mywH_ad3tWJZ4GPl1XNaM6iBqWoc2KaHOoHo/edit?tab=t.j6isn19457qd

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