Productivity Analyzer

Productivity Analyzer

Business Case

Problem Statement

Understanding productivity requires:

• Tracking actual output rates
• Comparing to planned rates
• Identifying problem areas
• Forecasting project completion

Solution

Analyze labor productivity data to identify trends, compare to benchmarks, and provide actionable insights.

Technical Implementation

import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional
from dataclasses import dataclass
from datetime import date, timedelta
from enum import Enum


class ProductivityStatus(Enum):
    EXCELLENT = "excellent"    # >110% of planned
    ON_TARGET = "on_target"    # 90-110%
    BELOW = "below"            # 70-90%
    CRITICAL = "critical"      # <70%


@dataclass
class ProductivityRecord:
    date: date
    activity_code: str
    description: str
    planned_output: float
    actual_output: float
    unit: str