Explore Tasks
Track and verify benefits realisation against the business case
A programme or portfolio board receives a benefits realisation report comparing realised benefits with the business case baseline, evidence that each claimed benefit is real and attributable, and corrective or stop actions where benefits are off track.
3jobs do it
8jobs help with it
45skills it needs
- Lead Business Analyst
- Programme Manager
- Continuous Improvement Manager
- Finance Business Partner
- Procurement Manager
- Finance Business Partnering Manager
- Head of Transformation
- Head of PMO
- Transformation Director
- Chief Transformation Officer
- Head of Business Analysis
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Interpreting trends and seasonality
- Designing experiments
- Estimating and challenging causal effects
- Defining measurable outcomes and leading indicators
- Testing, implementing and sustaining measured improvements
- Evaluating learning transfer and performance outcomes
- Designing implementable change plans
- Evaluating whether people understood, adopted and sustained a change
- Diagnosing capability gaps from work evidence and planning development
- Measuring campaign outcomes with valid denominators
- Choosing an analytical method to fit the question and data
- Weighing conflicting evidence by design strength
- Verifying benefits realisation and attribution
- Applying research ethics and participant consent
- Estimating quantities and differences with intervals
- Reading business metrics
- Comparing periods consistently
- Judging whether a change exceeds normal variation
- Variance analysis
- Testing investment business cases under uncertainty
- Identifying and quantifying decision downside and exposure
- Making accountable decisions under uncertainty
- Revising prior decisions when evidence changes
- Reasoning about systems, feedback and second-order effects
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Assessing data source credibility and fitness for a question
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying project progress against accepted outcomes
Paths that teach the skills it needs
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Leading Analytics and AI Change
Lead adoption, diagnose learning needs, coach and assure team capability.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Experimentation and Causal Impact Evaluation
Answer "did it work" with randomised experiments where possible and quasi-experimental methods where not.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonDelivering Data and AI Projects with Evidence