A Data Coffee

A Data Coffee is a chatbot-driven tool committed to empowering teams with data and analytics proficiency through engaging mini-courses. Seamlessly integrated with Slack, it grants team members instant access to training modules without disrupting their workflow.

These bite-sized courses are meticulously designed to align with the duration of a coffee break, ensuring efficient learning without overwhelming time commitments. A Data Coffee offers diverse learning paths covering themes ranging from marketing and sales to product insights.

Team members have the freedom to select their preferred learning journeys and dictate when they receive course materials. Each learning path comprises a series of courses that can be effortlessly assigned to team members, with progress conveniently monitored through the tool’s intuitive interface.

A Data Coffee shatters learning barriers by delivering interactive courses directly within the Slack environment, the platform teams already rely on daily. This ensures swift knowledge enrichment without the need for an additional learning platform. The tool further boasts a user-friendly interface for tracking everyone’s educational advancement.

Beyond its training prowess, A Data Coffee presents a robust payments platform and simplified card issuance, streamlining checkout processes and platform optimization. Users can access round-the-clock support to address any queries or concerns that may arise.

The pricing structure accommodates a free plan catering to up to two learners, making it an ideal choice for solo entrepreneurs and small teams. For additional learners, a modest per-learner monthly fee applies, with the option to enjoy a 20% discount by opting for an annual payment.

In summary, A Data Coffee emerges as a convenient and all-encompassing solution, enabling teams to nurture a data-driven culture and elevate their expertise in the realm of data analytics.

As part of our community you may report an AI as dead or alive to keep our community safe, up-to-date and accurate.

An AI is considered “Dead AI” if the project is inactive at this moment.

An AI is considered “Alive AI” if the project is active at this moment.