Redefining Customer Support for OBI with AI-Driven Chatbots

Discover how we conceptualized a chatbot that transforms the DIY experience for a tech-savvy audience, using the Branded Interaction Framework.

Timo Tüftler OBI chatbot hero image

Features

Discover how we conceptualized a chatbot that transforms the DIY experience for a tech-savvy audience, using the Branded Interaction Framework.

Limited After-Hours Support

Customers needed help beyond traditional business hours.

Inconsistent Communication

Disjointed messaging diluted the brand experience.

High Volume of Inquiries

Manual responses weren’t scalable.

Stats

Efficient Customer Communication
Strengthening Brand Values
Personalized Recommendations
Reducing Customer Service Costs

Process

Discover

Analyzed competitors like Hornbach and Bauhaus. Mapped OBI’s brand identity with Brand Filters and Limbic Maps. Created personas like 'The DIY Enthusiast' to align with target users.

Define

Identified gaps in customer support. Crafted a chatbot persona aligned with OBI’s values. Mapped conversational flows using Miro.

Ideate

Developed story maps to visualize the user journey. Ensured scalability for future use cases like DIY guides and voice integration.

Prototype & Test

Created interactive prototypes and conducted usability testing with target user groups.

Design Elements

User-Centered Design

Personas and customer journeys ensured usability for OBI’s tech-savvy customers.

Brand Alignment

Reflects OBI’s approachable, innovative identity through tone and visuals.

Seamless Integration

Real-time connections to product databases and customer profiles.

Future-Proof Scalability

Designed to adapt for voice assistance and in-store deployment.

Outcomes

Conceptualized Timo Tüftler chatbot for OBI
Framework-driven design process
Scalable, brand-aligned customer support vision

Insights

Biggest Challenge

Aligning user needs, business goals, and technological capabilities.

Frameworks Shaped the Concept

Tools like Limbic Maps and Value Proposition Canvas provided structure and clarity.

Collaboration Lessons

Diverse brand analyses revealed opportunities to innovate in the market.

Service Design Understanding

Reinforced the value of designing services that are both functional and emotionally engaging.

FAQs

What was the main goal of the OBI Chatbot project?

To conceptualize an AI-driven chatbot that transforms the DIY experience for OBI’s tech-savvy customers, using the Branded Interaction Framework.

What was the biggest challenge?

Aligning user needs, business goals, and technological capabilities.

How did frameworks shape the concept?

Frameworks like Limbic Maps and Value Proposition Canvas provided structure and clarity to the design process.

What did collaboration teach the team?

Diverse brand analyses and teamwork revealed new opportunities for innovation in customer support.

How did this project influence your understanding of service design?

It reinforced the value of designing services that are both functional and emotionally engaging.