Recording user interviews is highly beneficial; it allows you to engage fully in the conversation and later share insights with your team.

We needed to capture raw data and transform it to feed into the CRM, which is crucial for user workflow integration.

Frustrated with communication issues with our users, we added a message feature in our product that allowed users to engage with us directly, which significantly improved user interaction.

The user experience for AI workflows is evolving from chat interfaces to more integrated systems that run in the background, with a focus on monitoring and performance guarantees.

Our company culture emphasizes user focus; management regularly listens to user calls to understand their challenges and improve our services accordingly.

To collect data, instrument your tracking by defining user events, such as signups and video plays, to understand user behavior and engagement.

We conduct monthly town halls for our users, sharing updates on our progress and inviting feedback, which fosters a sense of community and involvement among them. Staying close to users allows us to understand their feelings and avoid common mistakes that many founders make.

We learned to do things that don't scale, like personally meeting our users in New York, which helped us build rapport and gather valuable feedback.

We are building a UI for AI that integrates chat, search, and agent management into one interface, enhancing productivity.