Investment and Outcome Estimation (EN) Portfolio Decision-Making (Self-Paced + Instructor Feedback)

Inhoud

In many organisations, investment decisions in product development and portfolio management are based on single-point estimates. These estimates suggest a level of certainty that does not reflect reality, especially in complex environments where uncertainty, variability and risk play a significant role. As a result, decisions are often made on incomplete or misleading information.

A more effective approach is to work with ranges, probability distributions and scenario-based forecasting. By incorporating uncertainty into estimation, organisations can better understand potential outcomes and make more informed decisions about investments, priorities and expected value. These techniques are particularly relevant for organisations working with SAFe, product operating models or Strategic Portfolio Management approaches.

This comprehensive, self-paced online course allows you to explore these techniques in depth, at your own pace. In this Investment and Outcome Estimation training, you learn how to apply estimation techniques in practice, with a focus on both SAFe Lean Portfolio Management (LPM) and broader Strategic Portfolio Management practices. You explore how estimation supports decision-making at product, portfolio and investment level, and how to visualise uncertainty using techniques such as Monte Carlo simulations.

A key part of this training is the hands-on assignment. You will develop an initiative or investment scenario and apply the techniques covered in the course. Your work is reviewed by an experienced instructor, who provides personalised feedback to help you refine your approach and deepen your understanding.

The total duration of the course is approximately 4 to 6 hours, which you can complete at your own pace.

You recognise this

Investment decisions are based on single-point estimates that turn out to be inaccurate
It is difficult to predict costs, benefits and outcomes in complex environments
Portfolio prioritisation lacks insight into uncertainty and risk
Decisions are made without a clear view of possible scenarios and outcomes
You want to improve decision-making using data, ranges and probability

What you learn

Why single-point estimates often lead to misleading plans
How to estimate costs and benefits using ranges and probability distributions
How Monte Carlo simulations help visualise possible outcomes
How to apply estimation techniques in SAFe Lean Portfolio Management (LPM)
How to support Strategic Portfolio Management with better forecasting
How to apply these techniques in a real-world assignment

What this enables you to do

Make better-informed investment decisions under uncertainty
Incorporate ranges and probability into estimation and forecasting
Improve portfolio prioritisation and value-based decision-making
Visualise possible outcomes and risks using Monte Carlo simulations
Apply estimation techniques in your own context with confidence
Strengthen your approach through expert feedback

Why this training stands out

Connected Movement works with organisations that operate in complex environments where investment decisions, prioritisation and value realisation are critical. Our trainers are practitioners who actively apply Lean Portfolio Management, Strategic Portfolio Management and data-driven decision-making in real transformations.

This training goes beyond theory by combining self-paced learning with a practical assignment and personalised instructor feedback. This ensures that you not only understand the techniques, but are also able to apply them effectively in your own organisational context.

The result is a training that is practical, grounded and directly applicable in your own organisation.