Enhancing the reach and consumption of expert content with generative AI.


Products: Konecranes Discover Hub
Type: B2B, B2C
Role: Service Designer
Duration: 2024
Expertises: Product Design, UX Design, Design Workshop, User Research
Impact: Helped Konecranes define a clear vision for an AI-driven content tool through aligned stakeholder collaboration.


The challenge

The Konecranes Discover Hub serves as a cornerstone of the company’s digital knowledge-sharing platform, hosting over 500 expert articles across over 20 industries. Despite its breadth, the Hub attracted only around 1,000 monthly views, signaling a need to improve its accessibility and user engagement. This project reimagined the Hub using a generative AI-powered chatbot and a modernized content exploration journey to better serve users’ needs.

The Discover Hub faced several challenges:

  • Content Navigation Difficulties: Users struggled to locate specific information in the extensive library.

  • Limited Interactivity: Static content lacked engaging elements to retain users.

  • Suboptimal Search Experience: Existing search tools did not cater to diverse user intents or preferences.

Goals

  1. Revolutionize Content Discovery: Enable users to explore the vast content repository intuitively.

  2. Enhance User Engagement: Introduce interactive features powered by generative AI.

  3. Lay the Foundation for Development: Develop wireframes and actionable concepts to guide future implementation.

Process Overview

1. Workshops and Collaborative Ideation

Organized workshops with cross-functional teams, including stakeholders, designers, and developers, to:

  • Align on project goals and vision.

  • Gather insights into user pain points and expectations.

  • Brainstorm innovative solutions, focusing on chatbot and AI applications.

2. Understanding Users and Content

  • User Research:

    • Interviewed industry professionals, including engineers and procurement managers, to identify needs and preferences.

    • Questionnaires and surveys

  • Content Mapping:

    • Analyzed existing articles to identify patterns and opportunities for AI to enhance exploration.

3. Design Development

  • Wireframe Delivery:

    • Designed and presented wireframes illustrating the chatbot’s interface, article navigation, and personalized recommendation system.

  • Chatbot Experience Design:

    • Developed conversation flows for:

    • Query-based article retrieval.

    • Personalized content suggestions.

    • Industry-specific trend summaries.

4. Feedback and Iteration

  • Tested wireframes and interaction flows with stakeholders and potential users.

  • Iteratively refined designs based on feedback to ensure alignment with user needs and technical feasibility.

Previous
Previous

Crafting seamless travel experience and driving 800% growth in revenue.

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Next

Workshops and research streamlined sales tools and reduce 90% printing costs.