Using AI as a full-stack CRO Specialist

Artificial intelligence, the big kahuna. Some people think it’s necessarily a productivity tool, others think it’s a simple toy with no actual usage, but everyone has an opinion. I’ve seen colleagues get excited about AI, only to get frustrated when it doesn’t solve every problem. I’ve also seen people so afraid of it, they ignore it completely. Truth is, AI will not solve everything. It can’t work properly unless you know how to prompt, when to push back, and when to stop using it.

Working at the CRO agency AWA, I use it as a support for standardising my process for designing experiences, and keeping me accountable for requirements I need before turning the experiment into an abstract idea into a tangible design that is fully based on the data gathered via research and other experiments.

As a full-stack specialist, I also use it to master things that are out of my area of expertise, like coding. Recently, my latest achievement was coding an API connection through Gemini and Google Cloud. For that, I played with the software before, and by learning its restrictions, the details I had to add, and which structure I needed to provide for the robot, I was able to turn it into a productivity tool that will save time for the team and for the client.

AI can be a toy and a tool for everyone, depending on the context and their proximity to it and how you can fit it into your routine. At AWA, we use it to save time on rote tasks so we can spend more time thinking about and working on bigger problems.