Binbi
AI that helps companies understand their team's emotions.
Introduction.
Binbi was born from the need to solve workplace disconnection, particularly exacerbated in remote teams. Developed in collaboration with a sister who brings 8+ years of marketing expertise, this platform leverages AI to analyze team emotions, predict burnout, and improve workplace satisfaction. The entire project, from ideation to market launch, was completed in just 3 months.
Scope of work.
- Research & Strategy: Market analysis, user interviews, pain point identification
- Branding: Visual identity, voice & tone development, target audience definition
- Product Design: UX/UI for web platform and mobile interfaces
- Development: Frontend and backend implementation
- Go-to-Market: Communication strategy, sales approach, growth planning
Tools & technologies.
- Design: Figma, Adobe Suite, Framer
- Development: React.js, Next.js, Firebase
- Research: User interviews, competitive analysis, scientific research
- Project Management: Agile methodology, daily stand-ups, rapid prototyping
The Journey.
The project began as Agenddo (a wellness marketplace) but pivoted after identifying deeper emotional disconnection issues in teams. Through extensive research and user interviews, the core problem was defined, leading to the development of an AI algorithm able to detect emotional patterns and predict workplace burnout.
Timeline.
Research & Ideation
- Conducted 20+ interviews with HR professionals
- Identified key pain points: burnout, emotional disconnection, and difficulty tracking team wellbeing
- Analyzed scientific studies from Yale, Harvard, MIT, and the American Psychological Association
- Pivoted from wellness marketplace to emotional intelligence platform
Design & Prototyping
- Created brand identity and design system
- Developed user flows and wireframes in Figma
- Built interactive prototypes in Framer
- Conducted user testing sessions
- Refined UX based on feedback
Development
- Built frontend using React.js and Next.js
- Implemented backend using Firebase
- Developed proprietary AI algorithm for emotion analysis
- Created dashboards for both employee and management views
- Integrated analytics and reporting features
Launch Preparation & Go-to-Market
- Conducted final testing and QA
- Prepared marketing materials and communication strategy
- Developed pricing model and sales approach
- Launched beta version to initial customers
- Gathered feedback and made final adjustments
Team Insights.
Benefits.
- Team Emotional Overview: Visualize team's emotional state in one view
- Burnout Prevention: Identify early warning signs of employee disengagement
- Pattern Recognition: Discover emotional trends affecting team performance
- Actionable Insights: Clear metrics to improve team wellbeing
Impact.
- 2x increase in team efficiency
- 3x improvement in job satisfaction
- Significant reduction in turnover
- Better decision-making based on emotional data
Complete overview
Visualize team emotions at a glance. Our AI provides insights to understand group dynamics and strengthen cohesion.
Anticipate discomfort
Detect early burnout signs and take proactive action to maintain team wellbeing.
Identify patterns
Recognize emotional trends and adjust strategies to optimize your work environment.
Emotional language
Track team feelings without surveys. Our AI detects 150+ emotions, measures impact, and shows group effects.
Improvements.
based on feedback.
Quick start
Automated onboarding with sample employees for instant platform exploration.
Multi-level insights
Access company-wide, department, or individual employee information seamlessly.
Comparison by date
Filter by specific periods to track emotional evolution.
Smart AI tips
Personalized advice and alerts based on detected patterns.
Custom assistant
Ask questions about specific areas and receive actionable recommendations.
Bulk Upload
Import employees via Excel spreadsheet for frictionless team setup.
Emotional analysis.
- Emotional Reflection Tool: AI-powered questions to increase emotional awareness
- Personal Dashboard: Track emotional patterns and receive personalized insights
- Privacy-First Approach: Secure, confidential emotional data processing
First reflection
Begin emotional self-discovery by clicking "Make my reflection." Questions use AI to personalize and evolve over time.
Choose reflection
Answer the initial question or select "Change question." All confidential: only emotional balance is processed, not responses.
Select mood
Customize emotional AI for reflections adapted to current state
Process reflections
Express freely in one or multiple reflections. Click "Process" to analyze emotional axes.
Privacy respect
All data processed confidentially. Company dashboard shows only processed metrics, not specific emotions.
Learnings.
- Rapid Iteration: The importance of quick pivoting when solutions don't address the real problem
- User-Centered Design: Continuous engagement with end-users throughout development
- Balancing Speed & Quality: Delivering a minimum viable product without compromising core functionality
- Cross-Disciplinary Approach: Combining psychology, design, and technology to create effective solutions
- Effective Time Management: Breaking down complex projects into manageable sprints with clear deliverables
- Scientific Foundation: The value of basing technological solutions on rigorous research