Vivobot | Chatbot Platform
B2B Customer Care Platform
Easy to use and always available
Information Architecture, User Experience and Interface.
Easy to use and always available
Situation
Vivo, Brazil's largest telecommunications provider, faced a critical challenge: their portfolio of 61,000 small and medium-sized business (SMBs) needed customer service automation.
Most SMBs operated with one person handling multiple roles: sales, operations, and customer service. Leaving customers waiting hours or even days for responses to simple questions.
The Market Gap, SMBs were caught between two options:
- Simple chatbot builders that were easy to set up but technically unreliable and couldn't scale
- Enterprise-grade AI platforms that were powerful but required specialized technical teams and significant investment to implement
Tasks
Design a chatbot platform that bridges the gap between simplicity and sophistication, enabling SMBs to build robust virtual assistants without technical expertise.
Primary Goals
- Understand SMB needs and constraints:
- Research common customer service pain points across SMBs
- Identify the actual technology literacy level of business owners
- Solve the dual problem:
- Create simple UX that non-technical users can master quickly
- Deliver enterprise-grade AI that scales and performs reliably
Actions (1 to 4)
1. User Research
Talked to Vivo stakeholders and SMB customers to understand personas, technology literacy, and expectations.
- Business owners needed simple language over technical jargon
- WhatsApp was the essential communication channel for Brazilian SMBs
 
2. Design Strategy
Defined the complete ecosystem and how all platform components communicate with each other.
- Chatbot Builder: Define capabilities, Q&A setup, integration snippet
- Curator Dashboard: Analytics, unanswered questions, knowledge refinement
- Client Registry: Customer organization and conversation history
- Vivo Admin Platform: Add, edit, and delete 61,000 SMB accounts
- Validated the usability with a minimal viable flow
- Three-tab structure: Build → Monitor → Manage
3. Low-Fidelity
Validated user flows, navigation patterns, and content hierarchy through wireframes tested with a small group of SME stakeholders from Vivo.
- Transfer to human after 3 consecutive misunderstandings
4. High-Fidelity
Created the visual identity and component library, orchestrating with another Designer to deliver all experiences.
- Defined colors, typography, and components aligned with Vivo's brand
- Delivered 38+ screens across all platform components
- Daily critiques to ensure quality
Results
The platform was validated with a small group of SMB clients, proving concept and usability before a commercial disagreement between Vivo and IBM prevented the full launch. Despite not going live, the project delivered significant strategic value.
Immediate Impact
- Concept validated with real SMB users in controlled testing
- Demonstrated IBM's capability to deliver enterprise AI with simple UX
Long-Term
- Strengthened IBM-Vivo relationship and opened new conversations
- Sales pipeline opened for CP4D, OpenShift, and IBM Expert Labs