How to Create AI Agents That Users Actually Want to Use

Artificial intelligence (AI) is rapidly evolving, unlocking new possibilities across industries. But designing AI agents that users actually want to adopt remains a challenge. This discussion with Assaf Elovic, head of AI at monday.com, sheds light on how to build AI tools that resonate with users by deeply considering their experience and needs.

Prioritize User Experience from Inception

According to Elovic, successful AI agents stem from a user-first mindset combined with rigorous research on customer workflows and pain points. For instance, monday.com's "Monday Sidekick" assistant was developed not just as a technical innovation but as an integral extension of users’ day-to-day project management activities. This adherence to designing with empathy helps ensure the AI empowers rather than complicates.

Focus on Practical Use Cases That Drive Efficiency

AI agents that flourish deliver tangible benefits such as boosting productivity and simplifying complex processes. Whether automating routine task follow-ups or intelligently summarizing project statuses, the utility of the AI agent must be clear and immediate to the user. monday.com identified key workflows where their agent could provide measurable efficiencies, thus fueling user satisfaction and repeated engagement.

Iterate Based on Direct User Feedback

Continuous improvement based on field data and user feedback is vital. AI agents should evolve according to user interaction patterns and emerging needs. monday.com employs a feedback loop to refine Sidekick’s assistance capabilities, interface intuitiveness, and integration with existing tools, enabling it to become more relevant and less intrusive over time.

Capitalize on Opportunities AI Creates for Collaboration

The advent of AI fosters new collaborative possibilities among teams. By facilitating asynchronous communication, proactive reminders, and intelligent data visualization, AI agents like Monday Sidekick promote synergy and informed decision-making. This collaborative focus enhances both individual productivity and team dynamics.

Final Thoughts

Building AI agents that people actually want to use requires a harmonious blend of user-centered design, practical benefits, persistent iteration, and collaborative enhancement. The success of monday.com’s Sidekick offers a blueprint for creating AI tools that seamlessly integrate into workflows and meaningfully augment human capabilities.