Hassan and Manya

Holidays are like double-edged swords, aren’t they? On one side, they’re the epitome of joy, celebration, and the magic of moments we eagerly wait for all year. Sydney, with its iconic Opera House, becomes a jewel under the starlit sky on New Year’s Eve, drawing people from all corners of the world. It’s a spectacle of lights, music, and festivities, a true testament to human jubilation.

But flip the coin, and you’ll see the other side. The chaos. The crowd management that turns into a logistical nightmare. As a Product Manager, these moments aren’t just about getting swept up in the celebration; they’re opportunities to observe, reflect, and identify user pain points. It’s a time to ask ourselves, “Can we make this experience better?”

Picture this: I’m seated among thousands, the atmosphere electric with anticipation for the midnight fireworks. It’s a sea of people, an overwhelming wave of excitement mixed with the mild frustration of waiting for hours. Around the eight-hour mark, a thought strikes me. Is there a way to streamline this? To enhance this experience not just for me but for everyone here?

And that’s when I turned to ChatGPT. With hours still ticking slowly towards midnight, I sparked up a conversation with the AI, curious to explore if technology could offer a solution to this beautiful yet chaotic scenario. We delved into ideas about creating an app specifically tailored to manage large crowds at events like this. Could AI and app development be the answer to our New Year’s Eve predicament at the Sydney Opera House?

Here’s the full transcript of the conversation I had with ChatGPT (I have the Plus version so this was powered by GPT 4):

Now, its image work wasn’t great here. The wireframes are unclear and the spellings are all over the place–which is an issue I’ve observed pretty consistently with image generation that has text–and the logo is straight out of some creepy hell. But apart from that, I thought that the chatbot was an excellent partner in PM-ing this new app idea. Since I didn’t go ahead and build the app, I can’t speak to its copilot abilities for actually doing the building, but it did a phenomenal job thinking through the user problem, doing the market research, identifying personas and key pain points, and even coming up with a creative set of solutions that it rationalized against a good set of criteria. Overall, it did great in a product sense interview!

Intro of blog written with the help of my GPT Blog Writer Pro, and the featured image was created using Bing Image Creator.