Advanced Decision Quality Programme

Decision Analysis for Project Managers

Use structured reasoning, evidence, scenarios and quantitative tools to make defensible project decisions under uncertainty.

Enquire About This Course Explore the Academy

Course overview

Improve the quality of project decisions before committing resources.

Projects require decisions about investment, scope, design, delivery strategy, risk responses, resources, recovery and trade-offs. These decisions are often made with incomplete information, competing objectives and pressure to act.

Decision Analysis for Project Managers provides a disciplined method for framing decisions, generating alternatives, evaluating evidence and understanding uncertainty. Participants learn when a simple decision process is sufficient and when more structured analysis is justified.

The course combines qualitative judgement with practical quantitative methods so that recommendations are transparent, proportionate and defensible—not merely mathematically elaborate.

Learning outcomes

What participants will be able to do.

By the end of the course, participants should be able to:

  • Distinguish decisions, problems, risks, issues and recommendations within the project environment.
  • Frame a decision by clarifying purpose, scope, decision rights, constraints, timing and required evidence.
  • Define decision objectives and criteria without confusing means, constraints and desired outcomes.
  • Generate credible alternatives and avoid premature commitment to a preferred option.
  • Assess the relevance, reliability and limitations of available evidence.
  • Recognise cognitive, organisational and political biases that can distort project decisions.
  • Use weighted criteria, decision matrices and multi-criteria analysis appropriately.
  • Apply decision trees, expected value, sensitivity analysis and scenario analysis to selected project decisions.
  • Communicate uncertainty, trade-offs and recommendations clearly to sponsors and governance bodies.
  • Design implementation, review and learning arrangements so that decisions remain accountable after approval.

Who should attend

Designed for professionals who shape, recommend, approve or implement important project decisions.

  • Senior project and programme managers.
  • Project directors, sponsors and governance-board members.
  • Business analysts and project analysts.
  • Risk, planning, cost and project-controls professionals.
  • PMO, assurance and portfolio professionals.
  • Engineering, commercial and investment professionals supporting projects.

Prerequisites

Accessible, practical and professionally relevant.

  • Meaningful experience of projects or organisational decision-making is recommended.
  • No advanced mathematics or statistics qualification is required.
  • Participants should be comfortable working with basic numerical information and spreadsheet-style logic.
  • Corporate cohorts may use an anonymised investment, design, procurement or recovery decision as the application case.

Course structure

Five integrated modules from decision framing to commitment, execution and learning.

The programme follows an end-to-end decision cycle and uses one evolving project case to connect qualitative judgement with proportionate analysis.

1

Module 1

Decision framing, governance and quality

  • The role of decisions across the project lifecycle.
  • Decision framing, scope, timing and authority.
  • Decision quality and proportionate analysis.
  • Objectives, constraints, criteria and success conditions.
  • Decision governance, ownership and challenge.
2

Module 2

Evidence, uncertainty and judgement

  • Evidence quality, relevance and confidence.
  • Facts, estimates, assumptions and opinions.
  • Cognitive bias, group dynamics and organisational pressure.
  • Uncertainty, ranges and confidence statements.
  • Using reference information and the outside view.
3

Module 3

Alternatives and multi-criteria evaluation

  • Generating and screening credible alternatives.
  • Avoiding false choices and premature convergence.
  • Decision criteria and preference weighting.
  • Decision matrices and multi-criteria analysis.
  • Testing dominance, trade-offs and robustness.
4

Module 4

Quantitative decision analysis

  • Decision trees and sequential choices.
  • Probability, payoff and expected value.
  • Sensitivity, break-even and threshold analysis.
  • Scenario analysis and value ranges.
  • The value and limits of additional information.
5

Module 5

Recommendation, commitment and learning

  • Integrating qualitative and quantitative evidence.
  • Developing a transparent recommendation.
  • Communicating trade-offs and residual uncertainty.
  • Implementation conditions, triggers and review points.
  • Decision review, learning and workplace application.

Learning experience

Apply ideas—not simply remember terminology.

Participants learn by making and defending decisions—not by memorising analytical terminology.

Frame

Decision-framing workshop

Participants clarify the real decision, authority, timing, constraints and evidence required.

Challenge

Bias and evidence review

Teams test assumptions, assess evidence confidence and identify sources of distortion.

Compare

Alternative-evaluation laboratory

Participants build and challenge criteria, weightings and option comparisons.

Analyse

Quantitative decision exercises

Decision trees, expected values, sensitivities and scenarios are applied to proportionate project cases.

Recommend

Governance decision simulation

Teams present a recommendation, explain uncertainty and respond to executive challenge.

Apply

Workplace decision plan

Each participant identifies a real decision and designs an appropriate analysis and governance approach.

Course completion

Demonstrate participation, application and professional judgement.

  • Participate actively in framing, analysis and governance simulations.
  • Complete the principal qualitative and quantitative decision outputs.
  • Contribute to the final recommendation and executive-challenge exercise.
  • Prepare a practical decision-analysis plan for workplace application.

Participant outputs

Typical course outputs include:

  • Decision frame and governance map.
  • Objectives and criteria hierarchy.
  • Alternative-generation and screening record.
  • Weighted decision matrix.
  • Decision tree and expected-value analysis.
  • Sensitivity and scenario analysis.
  • Executive recommendation and implementation conditions.

Delivery options

Choose the format that fits your people and business requirements.

Instructor-led

Live Classroom

Face-to-face delivery with facilitated analysis, group decisions, executive challenge and immediate feedback.

Instructor-led

Live Virtual Classroom

Interactive online delivery using collaborative decision models, breakout analysis and real-time discussion.

Flexible

Blended Learning

A structured combination of preparation, live workshops, decision assignments and follow-up application.

Organisation-specific

Corporate and In-Company

Tailored delivery aligned with the organisation’s governance, investment process, decision thresholds and project environment.

Frequently asked questions

Course information and participation.

Do participants need advanced mathematical skills?

No. The programme explains quantitative techniques in a practical and accessible way. The emphasis is on choosing, interpreting and communicating analysis correctly.

Is the course mainly about financial investment decisions?

No. The methods apply to investment, design, procurement, scope, resource, risk-response, recovery and many other project decisions.

Will participants use spreadsheets or decision software?

Simple spreadsheet-style calculations may be used to reinforce decision logic. Specialist software is not required for the core learning outcomes.

Can the programme use a real organisational decision?

Yes. Corporate delivery can be built around an anonymised current or recent decision while protecting commercially sensitive information.

Does completion provide a professional certification?

The programme develops practical decision-analysis capability and may provide an INDENTRA completion record where applicable. It is not presented as a third-party professional certification unless separately stated.

Take the next step

Make important project decisions more transparent, rigorous and defensible.

Discuss public delivery, a leadership cohort or a tailored programme built around your organisation’s decision environment.

Enquire About This Course Explore the Academy

INDENTRA may adapt sequencing, exercises and examples to suit the delivery format and participant profile while preserving the stated learning outcomes.