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Bessern

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What is Bessern?

Bessern was founded in 2019. We help People in Organizations LEARN and IMPROVE their Performance & Well-Being through Technology and Behavioral Science. We train people in organizations to be more productive and mentally strong for change - we use technology and neuroscience so that 'Change' becomes cost effective and has quantifiable results. We have a unique model backed up by science to transform learning into new behaviors. Learning at Bessern: We train people the smart way –using brain science, technology and coaching. We craft trainings that make people want to learn more and have measurable results. Our trainings help people acquire new behaviors, increase motivation to learn, develop Growth Mindset and make people more resilient in times of change.

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Bessern Reviews (5)

5.0
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Review Summary

Generated using AI from real user reviews

Bessern receives unanimous five-star praise from users who completed its ten-day challenges and coaching services. Users consistently highlight the personalized guidance from founders Elena and Ivan, describing them as knowledgeable, approachable, and genuinely invested in participant success. The challenges themselves earn recognition for being realistic and practical, with reviewers noting that the tools and resources shared remain applicable long after completion and address both immediate clarity and broader career questions.

The program's structured approach to behavior change and habit formation resonates strongly, with participants appreciating that they learn the underlying science behind techniques rather than just tactics. Support availability during the challenges and the overall community experience also feature prominently in feedback. No negative themes or reservations appear across these reviewsβ€”all five users express clear satisfaction and willingness to recommend the service. For buyers considering Bessern, the feedback suggests a well-executed program with engaged facilitators, though the small review sample means this verdict is based on a limited user base.

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