ProdCast

Overview

A forecasting prototype that predicts final productivity outcomes from evolving schedule signals such as ramp deviation, peak labor shifts, baseline execution, and critical-path volatility.

Goals

• Predict final productivity outcomes while a project is still in flight.
• Translate evolving schedule signals into a forward-looking estimate.
• Give teams time to intervene before outcomes are locked in.

Approach

• Derive schedule signals: ramp deviation, peak labor shifts, baseline execution, critical-path volatility.
• Train a forecasting model on evolving, time-indexed project data.
• Evaluate forecast accuracy at successive project stages.

Status

🚧 In progress. A full write-up — methodology, results, and code — is coming soon.