diverge · Ideation, Strategy, Problem Solving · 60–120 min · 3-8 people · medium energy

AI Landscape Mapping

AI Landscape Mapping helps teams explore and visualize opportunities for integrating Artificial Intelligence into service design. By mapping the current state and identifying pain points, teams can brainstorm AI-driven solutions to improve service value.

When to use AI Landscape Mapping

Use this method when you need to explore how AI can address specific service challenges and generate innovative solutions. It's particularly useful when a team needs to understand the potential impact of AI on both front-end and back-end processes.

What it solves

Lack of innovative ideas for service improvement; difficulty understanding how AI can be practically applied to solve service problems.

How to run AI Landscape Mapping, step by step

  1. Introduce the AI Landscape Mapping activity and explain its purpose. (5 minutes)
  2. Briefly describe the current state of the service, including key actors and interactions. Focus on both front-end and back-end processes. (15 minutes)
  3. Identify and document problems associated with each phase of the service value chain, as well as areas for potential improvement. (20 minutes)
  4. Brainstorm AI-related solutions for the identified problems, using the AI Functionalities Cards for inspiration. Consider automation, assistance, and augmentation. (40 minutes)
  5. Review all generated opportunities, filter, and prioritize the most promising ones for further concept definition and evaluation. (20 minutes)

Materials needed

  • AI Landscape Canvas (physical or digital)
  • AI Functionalities Cards (physical or digital)
  • Sticky notes
  • Markers
  • Timer

Facilitator tips

  • Encourage participants to think broadly and creatively about potential AI applications.
  • Ensure a mix of perspectives, including those with service knowledge and technical expertise.

Common pitfalls

  • Focusing solely on technical feasibility without considering user needs.
  • Overlooking potential risks and ethical considerations associated with AI implementation. Remind participants to consider the impact on users and the business.

Variations

  • Focus the mapping on a specific part of the service value chain.
  • Use different sets of technology cards to explore other emerging technologies.

Running it online or hybrid

Use a collaborative whiteboard tool like Miro or Mural to create a shared canvas. Ensure all participants have access to the AI Functionalities Cards digitally.

What it produces

A visual map of the current service landscape with identified problems and potential AI-driven solutions for each stage.

Origin

Adapted from Service Design Tools — source

Build a session around AI Landscape Mapping

METODIC places AI Landscape Mapping inside a complete, timed session plan — agenda, worksheets, facilitator guide and slides — matched to your group and goal.

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