Using AI for Product Discovery & Research 🔎🚀

🥡 KEY TAKEAWAYS:

👐 AI is not only generating insights from product research and discovery, but making it simpler than ever for product teams and stakeholders to access and consume those valuable insights - making it available for the entire organisation including sales and marketing teams too. This means moving away from a research report that is delivered at the end of discovery to more real time questions and answers on your product and customer data - giving practitioners (designers, product managers, researchers) more and easier access to the data that already exists

🔁 In many cases, we will increasingly see a shift from longer research projects to shorter cycles and more continuous discovery throughout the lifecycle.

🙋‍♀️ While the main outcome of Discovery is figuring out what to build i.e. clearly finding out what to solve + what do customers value, it's also about what fits within the strategy of the company, and what can be made given the technical and financial constraints with the capabilities you have.

️⛔️ It’s not just about AI - it’s about the questions we ask, the user access and controls - the right person has to consume that data. It’s all about the right tools for the right use cases - We need to allow anyone in a company to make sense and get value from the work the discovery team is doing.

👩‍💻 Getting a good understanding and knowing the technology, along with being super tight with the engineers, and doing the hard work - turns you into a better product person/ designer. Do as much as you can to involve engineers in the process.