The All-In-One Tool for Boosting Emotional Intelligence Across Your Organization

We combine the data from 10 popular motivational, behavioral, and personality assessments to create a profile on individual users on a team. These profiles help provide actionable and insightful coaching prompts that are delivered in workplace tools you love, like Google, Workspace, Outlook, Microsoft Teams, Slack, and calendar integrations.

Cloverleaf easily scales with organizations and teams of all sizes. Teams and departments can easily invite one another onto the platform. The Team Dashboard helps members quickly identify strengths, weaknesses, and opportunities for delegating work to ensure efficient projects and communication.

With the leadership of our academic research team, Cloverleaf measures growth in constructs such as self-awareness, others’ awareness, inclusion, teaming effectiveness & psychological safety.

Cloverleaf allows users to rate every piece of coaching content. With each coaching tip, we ask simple questions like, was this coaching helpful? This immediate feedback is a starting point for users to provide even more context concerning the effectiveness and relevance of the coaching they receive.

These data points are significant because they offer insight that correlates with the team and organizational sentiment, relevance to their role, and help convey the ROI of Automated Coaching™ on business-critical goals.

Cloverleaf integrates with the workplace tools you love, like Google, Workspace, Outlook, Microsoft Teams, Slack, and Calendars.

In short, the answer is yes. While “AI” is a broad term encompassing various technologies, it’s crucial to clarify what we at Cloverleaf mean when we say “AI.” We define AI as the use of software algorithms that function and evolve based on training data, which updates the weights of a model. This differs from non-AI software that operates on explicit rules written in code. Like many tech companies, Cloverleaf integrates both rule-based algorithms and weight-based models to enhance our product. As new technology and techniques emerge, we rigorously study their potential and constraints, and strategically incorporate these advancements to further our ultimate mission: “Unleash people to do their best work.”

We’re always working to improve our product which means adding AI features when and where it makes sense. Here’s a list of the current Cloverleaf features that leverage AI. We’ll keep updating this list when we add new things. 

Insight Search: Insight search is powered in part by a text embedding model. Text embedding is the process of transforming words or phrases into numerical vectors that represent their semantic meaning. It allows us to connect your free text searches with the most relevant Cloverleaf coaching tips. We make sure your searches are private by removing any personal information, like names. We look at these searches to see where we can make things better, but we don’t use them to train our AI.

Tip Generation: Right now, the tips you see on Cloverleaf are rooted in research and written by real people who work for Cloverleaf. As AI technology improves, we’re using large language models (LLMs) to help with things like checking spelling and grammar. We’re also using it to improve our tip quality and tone at scale. We’ve made an intentional decision in our approach to ensure that 1) generative AI does not use any customer data and 2) any content modified by AI tools is truthful and rooted in research.