Communication in context: How to design high-value Gen AI features informed by community norms
Communication is inherently a community-driven process. People vary their language and creative content use (e.g. emoji, stickers) based on the norms of different social groups, age groups, even apps. When we design products, it’s important to do targeted research to understand these differences, because only then can we determine if and how generative AI can fit in — a one-size-fits-all approach simply doesn’t work.
In this session, you’ll learn how to:
- Understand and consider context when forming communication strategies
- Craft your research strategy for technology-mediated communication
- Determine whether or not to consider Generative AI as part of your strategy
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More 2024 sessions
Communication in context: How to design high-value Gen AI features informed by community norms
Communication is inherently a community-driven process. People vary their language and creative content use (e.g. emoji, stickers) based on the norms of different social groups, age groups, even apps. When we design products, it’s important to do targeted research to understand these differences, because only then can we determine if and how generative AI can fit in — a one-size-fits-all approach simply doesn’t work.
In this session, you’ll learn how to:
- Understand and consider context when forming communication strategies
- Craft your research strategy for technology-mediated communication
- Determine whether or not to consider Generative AI as part of your strategy
We can’t be everywhere: How to introduce AI to your content design workflow
As content designers, we spend so much time answering the same style guide questions or handling microcopy asks. All of this takes away from meaningful high-level strategy work. AI tools can help you become more systems-focused so you can reduce content inconsistencies and maintain a cohesive voice, allowing you and your team to work more effectively.
But … with all the hype surrounding AI writing tools right now, it can be hard to know how to get started using them for your work. By taking a few steps up front (before diving in to experimentation), you can ensure your time is well-spent and feel confident about your decisions.
In this session, you’ll learn:
- How to define content design use cases for AI
- How to train your AI writing tool
- Challenges to look out for
Evaluating AI: Choosing the best tools for your content team
We’ve all been told that generative AI tools have the potential to improve our content and enhance productivity. What now? How do we sort through the hype around dozens of tools and make smart choices about which ones are most helpful to our team?
Gavin will share his team’s method for tool evaluation, as well as ways in which to present findings to leadership and across diverse teams. You’ll walk away with practical templates for evaluating and selecting the right AI tools for your unique needs.
In this session, you’ll learn:
- How to build a list of which AI tools to evaluate
- How to communicate specific outcomes from evaluating several AI tools
- Communication strategies to align AI skeptics and believers
