Āut Labs
  • Āut Labs
  • The Āutonomy Matrix
  • $AUT Token
  • Framework Intro & Components
    • Āutonomy Matrix
    • The Participation Score
      • More about Expected Contributions
    • ĀutID: a Member< >Hub bond
    • Interactions, Tasks & Contributions - a context-agnostic standard.
    • Contribution Points
      • Calculating eCP and other dependent & independent params
    • The Hub - or, the whole is greater than the sum of its parts.
    • Roles on-chain. If there is Hope, it lies in the Roles
    • Commitment Level as an RWA
      • Discrete CL Allocation
    • Peer Value
      • Flow & aggregation of value
  • 🕹️Participation Score
    • Design Thinking
      • Problems with traditional Local Reputation parameters
      • Innovation Compared to other “Local Reputation” protocols
      • Hub<>Participant Accountability & Rewards
    • Core Parameters
    • Formulæ
    • Edge Cases
      • 1. The Private Island
      • 2. Cannibal Members
      • 3. The Ghost & the House on Fire
    • PS Formula for all Edge Cases
    • Conclusions
  • 🎇Prestige
    • Prestige: introducing measurable credibility for a DAO
    • Need for a DAO to measure its KPIs overtime (on-chain)
    • Archetypes
      • Defining an Organizational Type
      • Existing Organizational Types
      • Deep-dive: Calculating current Parameters (p)
    • Formulas for Prestige
      • Normalization of p
    • Prestige for all edge cases
      • Relationship between Prestige & Archetype parameters
    • How to expand Prestige through external Data Sources
    • Use-cases & Conclusions
  • 🌎Peer Value
    • Initial Applications
    • Relationship between Participant, Hubs & Peer Value
    • Peer Value (v) as a directed graph
      • Calculating normalized Participation Score (PS'')
      • Calculating normalized Prestige (P'')
      • Calculating the Contributor Archetype (a)
    • The Peer archetype
      • Formulæ for α & deep-dives
      • Formulæ for β & deep-dives
      • Formulæ for γ & deep-dives
    • Conclusions & Initial Applications
  • ⚽Appendices & Playgrounds
    • PS Simulations
    • PS Playground
    • Prestige Simulations
    • Prestige Playground
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© Āut Labs 2025

On this page
  1. Framework Intro & Components
  2. The Participation Score

More about Expected Contributions

Expected Contributions (ECp) represent the expected value contributed by a participant to a Hub, based on their Commitment Level (iCL) and the tasks created and taken.

EC is necessary for:

  1. Performance Measurement:

    • EC is the benchmark to meet in order for a participant to be fairly and meritocratically evaluated based on their actual contributions (against the expected ones), providing a measurable, human metric to assess their performance.

  2. Accountability and Incentives:

    • By setting clear expectations, EC enhances accountability. Each period (1 month), Participants are incentivized to meet or exceed their EC in order to maintain or grow their Participation Score (PS).

  3. Impact on Hub Prestige:

    • The EC-based aggregated performance across all participants, directly influences the Hub’s Prestige - reflecting the collective expected value and the Hub's overall growth and ability to deliver on its KPIs.

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Last updated 10 months ago