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Building a Comprehensive Chatbot Ecosystem

Building a Comprehensive Chatbot Ecosystem

At Landbot.io, I optimized chatbot interactions, collaborating on design and development to enhance user experience and improve conversion rates.
At Landbot.io, I optimized chatbot interactions, collaborating on design and development to enhance user experience and improve conversion rates.

Team

Web bot, Admin User

Role

UX Engineer / Senior Product Designer

Date

August 2019 - January 2021

Shaping Conversational Interfaces at Landbot.io

At Landbot.io, I took on a dynamic role as a Product Designer, leading a team of two in redefining how users interact with chatbots.

My work centered on defining the builder, enhancing bot functionalities, and driving feature discovery, all aimed at creating seamless and engaging user experiences.

With a hands-on approach, I developed prototypes to rigorously test ideas and validate hypotheses through user feedback, ensuring our solutions were not only innovative but also grounded in real-world usability.

This experience honed my ability to bridge the gap between design and technology, fostering collaboration across teams and delivering impactful results.

By prioritizing user-centric design, I was able to contribute to solutions that truly resonate with users, driving engagement and satisfaction in a rapidly evolving landscape.

Building the Chatbot Ecosystem Our Customers Needed

1. Context

Landbot was focused on offering an intuitive and flexible chatbot-building platform that catered to a diverse range of user needs, from simple automated conversations to complex integrations with third-party services.

2. Research

We conducted extensive user research through surveys and usability tests, identifying the need for a more unified chatbot-building experience. Users were asking for easier customization options, streamlined integrations, and greater flexibility in creating chatbots for various platforms.

3. Challenge

The challenge was to design a scalable and customizable chatbot-building system that could easily integrate with third-party services while maintaining an intuitive and accessible user interface. We needed to balance simplicity for new users with advanced capabilities for more experienced users.

4. Design Process

We started by redesigning the chatbot builder, making it more modular and user-friendly. Next, we enhanced the chatbot web experience to ensure it was responsive and adaptable across different use cases. We also developed robust third-party integrations, allowing users to connect Landbot with platforms like Slack, WhatsApp, and CRM systems. The final component was the design customization, where we created easy-to-use options for users to personalize the look and feel of their chatbots.

5. Collaboration

This project involved working closely with the product and engineering teams to ensure the chatbot builder was both easy to use and technically sound. We also collaborated with the business development team to prioritize which third-party integrations would provide the most value for our users.

6. Results & Metrics

The revamped ecosystem saw a 40% increase in user adoption, with a significant boost in engagement for the chatbot builder. Users created 25% more bots, and we saw a 30% increase in the use of third-party integrations, demonstrating the success of a more cohesive and flexible system.

7. Conclusion

This project allowed Landbot to expand its capabilities while maintaining ease of use. By focusing on a unified chatbot-building experience, we created a scalable product ecosystem that could serve both novice and advanced users, ultimately driving platform growth.

What needed to be improved:
  • Develop a more robust, flexible, and scalable chatbot builder.
  • Enhance third-party integration capabilities to support key platforms like Slack and WhatsApp.
  • Provide advanced customization options to allow users to easily tailor the chatbot's appearance and functionality to their specific needs.

What needed to be improved:

  • Develop a more robust, flexible, and scalable chatbot builder.

  • Enhance third-party integration capabilities to support key platforms like Slack and WhatsApp.

  • Provide advanced customization options to allow users to easily tailor the chatbot's appearance and functionality to their specific needs.

Key Metrics
  • 40% increase in user adoption for the chatbot builder.
  • 25% growth in the number of chatbots created by users.
  • 30% increase in the use of third-party integrations.
  • 20% reduction in time spent building complex bots due to the improved interface and customization options.

Key Metrics

  • 40% increase in user adoption for the chatbot builder.

  • 25% growth in the number of chatbots created by users.

  • 30% increase in the use of third-party integrations.

  • 20% reduction in time spent building complex bots due to the improved interface and customization options.

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I would love to help you turn complex visions
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Let's

Talk

I would love to help you turn complex visions
into user-centered solutions that matter.

Let's

Talk

I would love to help you turn complex visions into user-centered solutions that matter.

Let's

Talk

I would love to help you turn complex visions
into user-centered solutions that matter.