3. Telling stories that matter
Getting the message right has become even more important. Ensuring that insight lands, lives, and effects change within organisations is a top priority for insight teams. We had some interesting conversations about the role of AI and other efficiencies in the process so teams can dedicate more time to getting the story right. It was also clear that with the advance of AI tools, landing the key message with stakeholders is something that sets good insight teams apart! We saw some great examples of AI and automated solutions helping to organise and chart data, all the while underscoring the importance of a human perspective to understand the story, and tell it in a way that resonates with the audience.
Finally, given that AI opens up so many more opportunities for iterative research, online communities are a great use-case. Having the ability to triangulate learnings across a volume of inputs from community members, re-researching previous work, and understanding how perspectives change over time, a research community suddenly becomes much more valuable!