Bring your best self to work so that you can focus on helping others

You dedicate so much time to others but how do you ensure your team brings their best selves to work? Cloverleaf provides ongoing insights and coaching tips seamlessly through the tools your organization already uses, like email, Slack, and Microsoft Teams. With our platform, you can focus on what matters while we provide the support your team needs to thrive.



The standard assessment model typically costs $30-100 per person to take a one-time assessment, only to receive static results that are forgotten after their initial debrief. This can be cost-prohibitive, especially for organizations that already run tight budgets. Plus, with no real ROI on static assessments, it can be difficult to prove value. 


With Cloverleaf, data from up to 10 assessments is aggregated into one dashboard. These insights become actionable tips delivered across calendars, email inboxes, and messaging apps, helping to encourage ongoing interaction, group cohesion, and self-improvement.


Cloverleaf helps employees bring their whole selves to work. Gallup analysts have reported that companies with a highly engaged workforce have 21% higher profitability.


Uncover the hidden strengths and potential in your team. Increase loyalty while improving overall capabilities.


Help employees build empathy and trust. This leads to team bonding, loyalty, and a more positive work culture.

Engage Your Board More Effectively

Facilitate meaningful conversations, drive effective engagement, and help provide a common language to navigate diverse perspectives bringing out the best in each other.

Strengthen Staff Connectivity

Accelerate communication and understanding among your team members to better serve your community and clients.

Improve Volunteer Experience

Use personalized insights about each person on your team to identify their motivations and strengths to maximize your impact together.



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.

Automated Coaching™ delivers relevant insight and prompting in the workplace tools people use every day. Individuals can directly apply this perspective to increase emotional intelligence, strengthen communication, identify opportunities for collaboration, and work through conflict successfully with teammates.

Cloverleaf uses 10 popular assessments, including 16-Types, Culture Pulse, DISC, Energy Rhythm, Enneagram, Instinctive Drives, Motivating Values, Strengthscope®, StrengthsFinder, and VIA.

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.

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