How does the system keep assignments fair?

Every assignment is enforced by transparent rules for eligibility, workload, and conflicts, so no decision depends on the editor's memory.

Do the eligibility rules stay fixed?

No. A dynamic median recalculates eligibility daily rather than using a static window, so fairness adapts as reviewer activity changes.

Are the decisions auditable?

Yes. Every assignment is backed by system-enforced rules, producing a defensible, auditable record for each one.

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Designing a Fair, Transparent Fact-Checking Assignment System

Policy Research Organization Workload Governance

Every publication goes through fact-checking, and every assignment matters. The result was a system that makes fair, defensible reviewer assignments automatically, in seconds.

Results at a Glance

< 5 sec

Assignment Time

98%

Faster

120+ hrs

Saved / Year

The Challenge

Before every assignment, the editor had to pause and weigh: Who reviewed most recently? Who has carried more load? Who declined last week? Is there a conflict? Fairness lived entirely in one person's head.

Fairness depended on one person's memory, not a system
A cognitive bandwidth problem, not a reviewer problem
A high-stakes environment that required defensible, auditable decisions

The Approach

I designed a fairness model built on two rules: eligibility (recency) and priority (workload).

Dynamic median logic recalculates eligibility daily, rather than a fixed "30 days"
Automatic conflict filtering for authors, collaborators, and project managers
Cooldown logic for recent declines and protected windows

Salesforce Objects & Tools

Eligibility & priority rules Dynamic median calculation Conflict-of-interest filtering Cooldown & window enforcement

Results

Reduced assignment deliberation from 3–5 minutes per publication to under 5 seconds (98% faster), across 200+ fact-checking cycles per year
Achieved 100% defensible, auditable decisions with zero bias claims or reviewer complaints since go-live
Freed up 120+ hours per year of senior leadership time previously spent mentally simulating fairness and workload equity

FAQ

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