← Explore Dimensions
Representativeness
The extent to which key decisions are representative of the views of the constituent population. To what extent:
- Is there sufficient representation at critical parts of the process, including (a) proposing decisions, and (b) making ultimate decisions?
- Are there barriers leading to bias in representation?
Related Capabilities
Select participants
Representativeness
Ability to fairly select participants according to some definition of representation.
Reach participants
Urgent Representativeness
Ability to reach potential participants (e.g., to mitigate biases around self-selection, who is reachable, etc.).
Support participation
Representativeness
Ability to provide accessible, welcoming and compelling processes enabling diverse participation.
Simulate participation
Representativeness
Ability to simulate the interactions and decisions of actors (e.g., participants, stakeholders, facilitators, experts), subprocesses, or entire processes (e.g., for rapid process iteration).
Include voiceless perspectives
Representativeness
Ability to fairly include the perspectives of those that are not represented in the process, including people who are not present (future generations, young people or other representation constraints), and non-human entities (natural phenomena or animals).
Aggregate perspectives
Representativeness
Ability to aggregate votes and distill more complex forms of open-ended input into outputs and decisions, in fair and understandable ways, such that participants feel their contributions are meaningfully taken into account (and can ideally see how).
Related Product gaps
Automated Recruitment Tool
Urgent AI/ML
AI-powered recruitment system that automates demographic targeting, campaign creation, multi-channel outreach, and participant selection using real-time census data and advanced selection methodologies.
Process Design Simulation Sandbox
Urgent AI/ML
Simulation environment that tests deliberative process designs by running multiple simulated processes, and predicting outcome distributions to show how design choices impact results.