Precision isn’t only anticipated in design in engineering — it’s essential in project planning as well. But one of the most significant challenges that engineering managers experience is precisely projecting task effort.
Underestimation results in overworked staff and late completion. Overestimation consumes budget and postpones delivery.
So how can engineering teams get better at predicting task loads? Let’s explore practical strategies to improve forecasting accuracy — and how tools like Quantimcan help deliver consistently successful outcomes.
The Problem with Traditional Estimation
Too often, estimations rely on:
• Gut instinct from senior engineers
• Incomplete historical data
• Fixed time blocks disconnected from actual scope
• Type of task (Design, QA, Simulation, Compliance)
• Estimated vs. actual time spent
• Printed forms
• Assigned roles and workload per team member
Quantim’s Insights Module gives engineering managers access to real-time historical performance and team output data — enabling smarter planning for future work.
Step 2: Introduce Role-Based Forecasting
Designers, structural engineers, QA, and field leads all work differently.
