Why you need to switch from estimating to forecasting and how to make it easier

While the embrace of agile principles has led to significant improvements in efficiency and productivity for many organisations, issues with estimation and planning still remain. Today’s business environment puts even greater pressure on the need to make the right decisions at all times, but traditional approaches to prioritising and planning tend to be time-consuming, inaccurate, and often contrary to an agile approach.

Discover how clarity and insight can be a powerful catalyst for change, including:

How current estimating and planning processes are hampering speed and agility.

Alternative ways of more accurately using historical data to conduct probabilistic forecasting and Monte Carlo simulations.

How forecasting fits into value stream management (VSM), to help teams eliminate waste and provide greater value across the software delivery lifecycle.

The benefits of automated ‘plug and play’ VSM forecasting platforms such as Flomatika which provide faster and more predictable value deliver.

Estimates aren’t effective in complex systems

“Part of the complexity of software development is that if you’ve done something in the past, you’re better at estimating but the conditions in which they are doing the things are unique every time. So, you’re forcing people to put numbers together on something they haven’t done before, which forces the baseline, and then everything is compared to that baseline. It doesn’t work.”

New tools offer automated, real-time insights that provide immediate performance improvements:

  • Greater transparency to allow faster, more accurate decisions on where interventions are required.
  • Faster collection of evidence-based data.
  • Greater focus on the delivery of value.
  • End-to-end visibility of delivery helping you to better understand how people need to be allocated.

Ditch intuition for insight.

Discover the latest approaches to forecasting and predictability in our white paper.