Key Challenges
Traditional approaches to forecasting using estimation are cumbersome, inefficient and inaccurate.
Teams use their intuition to estimate and are by nature deterministic.
Teams are forecasting effort, whereas planning requires duration.
Probabilistic forecasting tools have traditionally been difficult to get access to and even harder to use.
Our Take
We believe forecasting duration using a probabilistic approach is more effective than estimating effort using a deterministic approach. This is because forecasts are based on observed data, whereas estimation is based on intuition.
We allow you to forecast:
How much work is likely to be completed in a particular iteration?
When is a particular batch of work likely to be completed?
When a particular piece of work item is likely to be completed?
When you should start a particular piece of work that has a desired delivery date?
We know that product delivery operates with several mutually dependent moving parts, and things can often change at any point in time, and they do.
Both planning and forecasting approaches are useful in that they create shared understanding and support decision making. However, the problem they share is that they quickly become outdated as the environment changes. The effort required to continuously update your plan to consider these changes comes with a high price tag (both economic and human).
On the other hand, continuous re-forecasting via platforms like Flomatika can be done in just a few seconds, with zero effort. This is game changing. Flomatika can notify you whenever a given forecast has varied outside your acceptable range.
If you are currently facing similar challenges and like our take or whether you want to know more about Flomatika and how we can help you solve your challenges, we would love to hear from you!
