Process Design

From Method to Practice

The SiD Process translates the Method into day-to-day practice. While the Method describes what to do, the Process describes how to organize the work: building teams, involving stakeholders, managing timelines, and structuring deliverables.

A SiD process typically follows four phases: Initiation, Intelligence, Solution, and Execution. These phases provide a project management framework around the iterative method cycles.

Designing Your Process

Every SiD process is different. The design of the process depends on:

Scale of the challenge: A neighborhood project requires a different process than a national policy trajectory or a corporate strategy.

Available resources: Time, budget, team size, and expertise determine how many method cycles are feasible and how deep the analysis can go.

Stakeholder landscape: The number and diversity of stakeholders shapes the participation strategy and communication needs.

Existing knowledge: If good system analysis already exists, the process can start from a more advanced position.

Building a Team

SiD works best with multidisciplinary teams. A strong SiD team typically includes:

A process facilitator who guides the team through the method cycles and manages group dynamics.

Domain experts who bring deep knowledge of specific system aspects (ecology, economy, engineering, social science).

Creative thinkers (designers, artists) who help visualize systems and generate innovative solutions.

Stakeholder representatives who ensure the process stays grounded in real-world needs and constraints.

Not everyone needs to be present at every stage. The facilitator and core team are present throughout, while experts and stakeholders are brought in at specific moments.

The Four Process Phases

Initiation: Setting up the project, assembling the team, defining boundaries and initial goals.

Intelligence: The main analytical work -- mapping, understanding, and first solution explorations across multiple method cycles.

Solution: Refining and detailing the most promising solutions into actionable roadmaps and plans.

Execution: Implementing the solutions, monitoring progress, and iterating based on real-world feedback.