Expresso

@maria_anosova Hi, thanks for the question, here's a detailed answer for you: Criteria Considered: We assess various facets related to mental well-being, such as stress indicators, burnout signs, and overall mood. These metrics are subsequently analyzed to provide actionable insights. Data Collection: Instead of using traditional surveys, Expresso leverages an AI-powered chatbot that engages with employees through interactive modules and regular check-ins. This facilitates a more organic conversation, providing real-time and relevant feedback. Anonymity and Privacy: All interactions and data inputs remain completely anonymous. We're committed to ensuring genuine responses while protecting the individual's privacy. Data Entry Responsibility: Employees engage with their personalized dashboard, promoting decentralized and precise data entry. Frequency of Data Entry: While daily interactions offer the most holistic insights, the frequency can be customized to suit an organization's preferences. Data Aggregation: All collected data is aggregated and presented to the organization leaders or team managers. This aggregated overview assists leaders in identifying patterns, concerns, or areas of improvement. AI-Powered Recommendations: One of the standout features is our AI's capability to suggest recommendations. Based on the analyzed data, the AI proposes actionable steps to both employees for self-improvement and leaders for fostering a supportive environment. Hope this clears things a bit!

@kuhu_singh3 I’m curious how you implement the AI here? Is it using the OpenAI API?

@csahil28 Yes!

@kuhu_singh3 @maria_anosova I'd like to hear this too!

Hi Kuhu! Expresso looks very nice and incredible. Congrats with fantastic start. Could you tell me something. Do you have a trial version?

@oginokairan Thanks for joining our waitlist!

@manmohit as a matter of fact, we have that feature for employees to track their progress too!

@mae_armstrong Hi Mae, are you on Expressos team or is your organization using it? Curious if you have any experience with the adoption. In my previous company we had a similar tool and I saw participation rates drop significantly, especially for the mood checks.

@wintoniak , she isn't on Expresso's team or a user. Thanks for bringing this up! It's a valid concern. What sets Expresso apart is our AI-driven approach that personalizes the experience, making it more engaging and less repetitive than traditional tools. We've also found that the interactive nature of our AI chatbot, combined with actionable insights and recommendations, keeps the participation rates more consistent. Additionally, the emphasis we place on privacy and anonymity ensures employees feel safe and understood. We're continually iterating based on feedback to ensure high adoption and consistent participation. I'd really appreciate a deeper chat on this topic. Would you be open to discussing further? Your insights could be invaluable to us.

@adam_fry Great question. While organizational well-being focuses on the overall health and atmosphere of the workplace, the general mental health of the workforce touches on individual emotions and challenges. Our daily check-ins aim to bridge this gap. By understanding individual sentiments, we can better tailor organizational strategies to enhance both areas. It's all about creating a symbiotic relationship where addressing individual needs elevates the collective well-being.

@kuhu_singh3 Thank you, that's helpful context.

@adayyy thanks for your interest,here are some things which will be interesting for employees: Personalized Insights: Tailored feedback makes the experience relevant. Easy Integration: Quick check-ins fit effortlessly into daily routines. Anonymity: Honest feedback is encouraged, knowing individual data remains private. Self-awareness: AI feedback aids self-reflection. Community: A shared commitment to well-being fosters a supportive workplace culture. Happy to dive deeper if you'd like!

@genki_daido thanks for the support!