Phoenix - Your AI AssistantHITL Analytics Dashboard — Human Review & AI Quality
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4 days
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What you get with this Offer
I will build a comprehensive HITL analytics dashboard — tracking AI acceptance rate by decision type (how often humans approve AI output without modification), modification patterns (what kinds of changes reviewers make most frequently), reviewer consistency (do different reviewers make consistent decisions on similar cases?), and quality trend over time (is AI performance improving as feedback is incorporated?). HITL analytics are the management information layer of your AI oversight programme — without them, you cannot know whether your AI is improving over time, which decision types have the highest error rate, or whether different reviewers are applying your review standards consistently.
The dashboard covers acceptance rate by decision type, modification category analysis, inter-reviewer consistency scoring, quality trend over time, reviewer workload distribution, and a weekly AI quality report for management.
The dashboard covers acceptance rate by decision type, modification category analysis, inter-reviewer consistency scoring, quality trend over time, reviewer workload distribution, and a weekly AI quality report for management.
What the Freelancer needs to start the work
Please share your review system data sources, your KPIs for AI quality and reviewer performance, your management reporting requirements, and your dashboard tool preference.